박사

A Markerless Augmented Reality Framework for AR Glasses Based on Feature Matching and Contour Matching = AR 글래스를 위한 특징점 및 외곽선 매칭 기반 마커리스 증강현실 프레임워크

트란반탄 2019년
논문상세정보
' A Markerless Augmented Reality Framework for AR Glasses Based on Feature Matching and Contour Matching = AR 글래스를 위한 특징점 및 외곽선 매칭 기반 마커리스 증강현실 프레임워크' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 3d cad
  • AR Glasses
  • Augmented Reality
  • Contour Matching
  • Feature Matching
  • Image Processing
  • markerless
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
626 0

0.0%

' A Markerless Augmented Reality Framework for AR Glasses Based on Feature Matching and Contour Matching = AR 글래스를 위한 특징점 및 외곽선 매칭 기반 마커리스 증강현실 프레임워크' 의 참고문헌

  • Zubizarreta, J., Aguinaga, I & Amundarain, A. (2019). A framework for augmented reality guidance in industry. The International Journal of Advanced Manufacturing Technology, 102(9-12), 4095–4108.
  • Zhou, F., Duh, H & Billinghurst, M. (2008). Trends in Augmented Reality Tracking, Interaction and Display: A Review of Ten Years of ISMAR. Proceedings of IEEE ISMAR, 193–202.
  • Zhang, J., Sung, Y.-T., Hou, H.-T & Chang, K.-E. (2014). The development and evaluation of an augmented reality-based armillary sphere for astronomical observation instruction. Computer Education 73, 178–188.
  • Yusoff, Z & Sunar, M. S. (2014). Augmented Reality: A Survey in Educational Environment, International Journal of Interactive Digital Media, 2(1), 1-8.
  • Yuan, M. L., Ong, S. K & Nee, A. Y. C. (2008). Augmented reality for assembly guidance using a virtual interactive tool. Journal International Journal of Production Research 46, 1745–1767.
  • Yu, L., Yu, Z & Gong, Y. (2015). An Improved ORB Algorithm of Extracting and Matching Features. International Journal of Signal Processing, Image Processing and Pattern Recognition, 8(5), 117-126.
  • You, S., Neumann, U & Azuma, R. (1999). Orientation Tracking for Outdoor Augmented Reality Registration. IEEE Computer Graphics and Applications, 19(6), 36-42.
  • Yong-Hwan, L., Hyochang, A., Han-Jin, C & June-Hwan, L. (2015). Object Recognition and Tracking based on Object Feature Extracting. Journal of Internet Services and Information Security, 5(3), 48-57.
  • Yilmaz, R. M. (2016). Educational magic toys developed with augmented reality technology for early childhood education. Computers in Human Behavior, 54, 240-248.
  • Yeon-Jae, O., Young-Sang, S & Eung-Kon, K. (2016). Picture Puzzle Augmented Reality System for Infants Creativity. Ubiquitous and Future Networks (ICUFN), 2016 Eighth International Conference, 343-346.
  • Yarui, H., Yunhong, L & Qiaochu, F. (2019). A survey of image corner detection methods. Proceedings of the 3rd International Conference on High Performance Compilation, Computing and Communications, 123-127.
  • Yang, P., Wu, W., Moniri, M & Chibelushi, C. C. (2008). A Sensor-based SLAM Algorithm for Camera Tracking in Virtual Studio. International Journal of Automation and Computing, 5(2), 152-162.
  • Yang, M., Kpalma, K & Ronsin, J. (2008). A Survey of Shape Feature Extraction Techniques. Pattern Recognition, 43-90.
  • Yamabe, T & Nakajima, T. (2013). Playful training with augmented reality games: case studies towards reality-oriented system design. Multimedia Tools Application 62, 259–286.
  • Wu, H-K., Silvia, L. W-Y., Chang, H-Y & Liang, J-C. (2013). Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41-49.
  • Wojciechowski, R & Cellary, W. (2013). Evaluation of learners’ attitude toward learning in ARIES augmented reality environments. Computers & Education, 68, 570-585.
  • Whiteside, K., Atkinson, G., Stump, M., Lawrence, G & Tamir, D. E. (2015). Musing: A Mobile Client and Web Server Augmented Reality Application for Museum Visitors and Curators. International Journal on Advances in Telecommunications, 8(1-2).
  • Weng, E. Ng. G., Khan, R. U., Adruce, S. A. Z & Bee, O. Y. (2013). Objects tracking from natural features in mobile augmented reality. The 9th International Conference on Cognitive Science, Procedia-Social and Behavioral Sciences, 97, 753-760.
  • Weng, Dr. E. N. G., Khan, R, U., Adruce, Dr. S. A. Z & Bee, O. Y. (2012). A framework for Outdoor Mobile Augmented Reality. IJCSI International Journal of Computer Science, 9(2), 1.
  • Wanga, C-H., Chianga, Y-C & Wang, M-J. (2015). Evaluation of an Augmented Reality Embedded On-line Shopping System. 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015) and the Affiliated Conferences, 3, 5624-5630.
  • Wang, J & Zhang, W. (2018). A Survey of Corner Detection Method. 2nd International Conference on Electrical Engineering and Automation. Advances in Engineering Research, 139.
  • Wagner, D., Reitmayr, G., Mullon, A., Drummond, T & Schmalstieg, D. (2010). Real-Time Detection and Tracking for Augmented Reality on Mobile Phones. IEEE Transactions on Visualization and Computer Graphic, 16(3), 355-368.
  • Van Thanh, T., Jaewoon, L., Dongho, K & Young-Sik, J. (2015). Easy-to-use virtual brick manipulation techniques using hand gestures. The Journal of Supercomputing, 72(7), 2752–2766.
  • Van Krevelen, D & Poelman, R. (2010). A survey of augmented reality technologies, applications and limitations. International Journal of Virtual Reality 9(2), 1 (2010).
  • Ufkes, A & Fiala, M. (2013). A Markerless Augmented Reality System for Mobile Devices. Computer and Robot Vision (CRV).
  • Tomia, A. B & Rambli, D. R. A. (2013). An Interactive Mobile Augmented Reality Magical Playbook: Learning Number with The Thirsty Crow. 2013 International Conference on Virtual and Augmented Reality in Education, 123-130.
  • Thomas, B., Piekarski, W., Hepworth, D., Gunther, B & Demczuk, V. (1998). A Wearable Computer System with Augmented Reality to Support Terrestrial Navigation. Proceedings of the 2nd IEEE International Symposium on Wearable Computers, 168.
  • Thangarajah, A & Wu, J. (2015). Vision-based Registration for Augmented Reality- A short Survey. IEEE International Conference on Signal and Image Processing Applications.
  • Tareen, S. A. K & Saleem, Z. (2018). A Comparative Analysis of SIFT, SURF, KAZE, AKAZE, ORB, and BRISK. 2018 International Conference on Computing, Mathematics and Engineering Technologies, 1-10.
  • Taehee, L & Hollerer, T. (2007). Handy AR: Markerless Inspection of Augmented Reality Objects Using Fingertip Tracking. 11th IEEE International Symposium on Wearable Computers, 1-8.
  • Szalavri Z & Gervautz, M. (1997). The personal interaction panel a twohanded interface for augmented reality. Computer Graphics Forum, 16(3), 335-346.
  • Stricker, D & Kettenbach, T. (2001). Real-time and Markerless Vision-based Tracking for Mobile Augmented Reality Applications. Proceedings IEEE and ACM International Symposium on Augmented Reality.
  • Sommerauer, P & M ller, O. (2014). Augmented reality in informal learning environments: a field experiment in a mathematics exhibition. Computer Education 79, 59–68.
  • Sommerauer, P & M ller, O. (2014). Augmented reality in informal learning environments: A field experiment in a mathematics exhibition. Computers & Education, 79, 59-68.
  • Skrypnyk, I & Lowe, D. G. (2004). Scene Modelling, Recognition and Tracking with Invariant Image Features. Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality, 110-119.
  • Simon, G., Fitzgibbon, A. W & Zisserman, A. (2000). Markerless tracking using planar structures in the scene. In Proc. ISAR 2000, 120-128.
  • Shrivakshan, G. T. (2012). A Comparison of various Edge Detection Techniques used in Image Processing. IJCSI International Journal of Computer Science Issues, 9(5).
  • Scholza, J & Duffy, K. (2018). We ARe at home: How augmented reality reshapes mobile marketing and consumer-brand relationships. Journal of Retailing and Consumer Services, 44, 11-23.
  • Scholz, J & Smith, A. N. (2016). Augmented reality: Designing immersive experiences that maximize consumer engagement. Business Horizons, 59(2), 149-161.
  • Scheckler, R. K. (2003). Virtual labs: a substitute for traditional labs? The International Journal of Developmental Biology, 47, 231-236.
  • Satoh, K., Hara, K., Anabuki, M., Yamamoto, H & Tamura, H. (2001). TOWNWEAR: An outdoor wearable MR system with high-precision registration. In Proc. IEEE Virtual Reality 2001, 210-211.
  • Salvador-Herranz, G., P rez-L pez, D., Ortega, M., Soto, E., Alca iz, M & Contero, M. (2013). Manipulating virtual objects with your hands: a case study on applying desktop Augmented Reality at the primary school. Proceedings of the Annual Hawaii International Conference on System Sciences, 31–39.
  • Rublee E., Rabaud V., Konolige K & Bradski G. R. (2011). ORB: An efficient alternative to SIFT or SURF. International Conference on Computer Vision.
  • Rosten, E., Porter, R & Drummond, T. (2010). Faster and Better: A Machine Learning Approach to Corner Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(1), 105-119.
  • Ross, H. F & Harrison, T. (2016). Augmented reality apparel: An appraisal of consumer knowledge, attitude and behavioral intentions. System Sciences (HICSS), 3919–3927.
  • Rosenfeld, A & Weszka, J. S. (1975). An Improved Method of Angle Detection on Digital Curves. IEEE Trans. Computers, 24(9), 940-941.
  • Rohaya, D., Rambli, A., Matcha, W., Sulaiman, S & Nayan, M. Y. (2012). Design and Development of an Interactive Augmented Reality Edutainment Storybook for Preschool. IERI Procedia, 2, 802-807.
  • Reus, V., Mello, M., Nedel, L & Maciel, A. (2013). Correcting Drift, Head and Body Misalignments between Virtual and Real Humans. SBC Journal on 3D Interactive Systems, 4(2).
  • Rentzos, L., Papanastasiou, S., Papakostas, N & Chryssolouris, G. (2013). Augmented Reality for Human-based Assembly: Using Product and Process Semantics. 12th IFAC Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, 46(15), 98-101.
  • Reitmayr, G & Drummond, T. (2006). Going out: robust model-based tracking for outdoor augmented reality. Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality, 109-118.
  • Rabbi, I & Ullah, S. A Survey on Augmented Reality Challenges and Tracking. Acta Graphica, 24(1-2), 29-46.
  • Rabbi, I & Ullah, S. (2013). A Survey of Augmented Reality Challenges and Tracking. Acta Graphica, 24(2013), 29-46.
  • Prince, S. J. D., Xu, K & Cheok, A. D. (2002). Augmented reality camera tracking with homographies. IEEE Computer Graphics and Applications, 22(6), 39– 45.
  • Poushneh, A. (2018). Augmented reality in retail: A trade-off between user's control of access to personal information and augmentation quality. Journal of Retailing and Consumer Services. 41(2018), 169-176.
  • Poushneh, A & Vasquez-Parraga, A. Z. (2017). Discernible impact of augmented reality on retail customer's experience, satisfaction and willingness to buy. Journal of Retailing and Consumer Services, 34, 229-234.
  • Pascoal, R., Alturas, B., Almeida, A & Sofia, R. (2018). A survey of augmented reality: Making technology acceptable in outdoor environments. 2018 13th Iberian Conference on Information Systems and Technologies (CISTI).
  • Park, J., Jiang, B & Neumann, U. (1999). Vision-based pose computation: robust and accurate augmented reality tracking. Information Warfare Conference (IWAR).
  • Pantanoa, E., Reseb, A & Baierc, D. (2017). Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets. Journal of Retailing and Consumer Services, 38, 81-95.
  • Oyallon, E & Rabin, J. (2015). An Analysis and Implementation of the SURF Method, and its Comparison to SIFT. Image Processing On Line, 5(2015), 176-218.
  • Norraji, M. F & ShahrizalSunar, M. (2015). wARn-Mobile-based Augmented Reality Coloring Book. 2015 4th International Conference on Interactive Digital Media (ICIDM), 17-20.
  • Nizam, S. S. M., Abidin, R. Z., Hashim, N. C., Lam, M. C., Arshad H & Majid, N. A. A. (2018). A Review of Multimodal Interaction Technique in Augmented Reality Environment. International Journal on Advanced Science Engineering Information Technology. 8(2018), 4-2.
  • Nithin, G., Bhooshan, R. S. (2016). ARTAR-Artistic Augmented Reality. International Conference on Emerging Trends in Engineering, Science and Technology, 1468 – 1474.
  • Ng-Thow-Hing, V., Bark, K., Beckwith, L., Tran, C., Bhandari, R & Sridhar, S. (2013). User-centered perspectives for automotive augmented reality. 2013 IEEE International Symposium on Mixed and Augmented Reality-Arts, Media, and Humanities, ISMAR-AMH 2013, 13–22.
  • Muja M & Lowe D. G. (2012). Fast Matching of Binary Features. Ninth Conference on Computer and Robot Vision.
  • Moura, G. M & Silva, R. L. D. S. D. (2017). Analysis and Evaluation of Feature Detection and Tracking Techniques using OpenCV with Focus on Markerless Augmented Reality Applications. Journal of Mobile Multimedia, 12(3-4), 291–302.
  • Mota, J. M., Ruiz-Rube, I., Dodero, J. M & Arnedillo-S nchez, I. (2018). Augmented reality mobile app development for all. Computers & Electrical Engineering, 65(2018), 250-260.
  • Miyazaki, S-Y. (1996). An Origami Playing Simulator in the Virtual Space. The Journal of Visualization and Computer Animation, 7, 25-42.
  • Milgram, P., Takemura, H., Utsumi, A & Kishino, F. (1994). Augmented Reality: A class of displays on the reality-virtuality continuum. Proceedings of SPIE Conference Telemanipulator and Telepresence Technologies, 282–292.
  • Milgram, P. (2003). A taxonomy of mixed reality visual displays. Search.Ieice.Org, 12, 1–15.
  • Mikolajczyk, K & Schmid, C. (2005). A performance evaluation of local descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(10), 1615–1630.
  • Mikolajczyk, K & Schmid, C. (2002). An affine invariant interest point detector. European Conference on Computer Vision 2002 (ECCV). Lecture Notes in Computer Science (LNCS), 2350, 128–142.
  • May ns-Martorell, J. Augmented User Interface. 2013 International Conference on Virtual and Augmented Reality in Education, 25(2013), 113-122.
  • Matcha, W., Rohaya, D & Rambli, A. (2013). Exploratory study on collaborative interaction through the use of Augmented Reality in science learning. 2013 International Conference on Virtual and Augmented Reality in Education, 25, 144-153.
  • Martin-Gutierrez, J. (2011). Generic user manual for maintenance of mountain bike brakes based on augmented reality. Proceedings of the 28th International Symposium on Automation and Robotics in Construction, ISARC 2011, 1401–1406.
  • Marner, M. R., Irlitti, A & Thomas, B. H. (2013). Improving procedural task performance with Augmented Reality annotations. 2013 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2013, 39–48.
  • Marchand, E. (2016). Pose estimation for augmented reality: A hands-on survey. IEEE Transactions on Visualization and Computer Graphics, 22(12), 2633- 2651.
  • Mahony, S. O. (2015). A Proposed Model for the Approach to Augmented Reality Deployment in Marketing Communications. Procedia-Social and Behavioral Sciences 175, 227-235.
  • Lowe, D. G. (2001). Local feature view clustering for 3D object recognition. IEEE Conference on Computer Vision and Pattern Recognition, 682-688.
  • Lowe, D. (2004). Distinctive image features from scale-invariant keypoints, cascade filtering approach. International Journal of Computer Vision (IJCV) 60, 91– 110.
  • Lowe, D. (1999). Object recognition from local scale-invariant features. International Journal of Computer Vision (ICCV), 1150–1157.
  • Livingston, M., Ai, Z., Swan II, J & Smallman, H. (2009a). Indoor vs. outdoor depth perception for mobile augmented reality. Proceedings-IEEE Virtual Reality, 55–62.
  • Livingston, M. A & State, A. (1997). Magnetic Tracker Calibration for Improved Augmented Reality Registration. Teleoperators and Virtual Environment, 6(5), 532–546.
  • Lindeberg, Tony. (1998). Feature detection with automatic scale selection. International Journal of Computer Vision, 30 (2), 79–116.
  • Limaa, J. P., Robertoa, R., Sim es, F., Almeidaa, M., Figueiredoa, L., Teixeiraa, J. M & Teichrieb, V. (2017). Markerless tracking system for augmented reality in the automotive industry. Expert Systems with Applications, 82,100-114.
  • Lee, M., Billinghurst, M., Baek, W., Green, R & Woo, W. (2013c). A usability study of multimodal input in an augmented reality environment. Virtual Reality 17, 293–305.
  • Layonaa, R., Yuliantob, B & Tunardic, Y. (2018). Web based Augmented Reality for Human Body Anatomy Learning. 3rd International Conference on Computer Science and Computational Intelligence 2018. Procedia Computer Science, 135 (2018), 457-464.
  • Kraut, B & Jeknić, J. (2015). Improving education experience with Augmented Reality (AR). 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 755-760.
  • Koulieris, G-A., Akşit, K., Richardt, C., Mantiuk, R & Mania, K. (2018). Cuttingedge VR/AR display technologies (gaze-, accommodation-, motion-aware and HDR-enabled). IEEE VR 2018: 25th IEEE Conference on Virtual Reality and 3D User Interfaces.
  • Kote, S & Borkar, B. (2014). A Survey on Markerless Augmented Reality. International Journal of Engineering Trends and Technology (IJETT), 10(13).
  • Kosea, U., Koca, D & Yucesoy, S. A. (2013). An Augmented Reality Based Mobile Software to Support Learning Experiences in Computer Science Courses. 2013 International Conference on Virtual and Augmented Reality in Education. 370-374.
  • Kim, M. J. (2013). A framework for context immersion in mobile augmented reality. Automat. Construct. 33, 79–85.
  • Kilgus, T., Heim, E & Haase, S. (2014). Mobile markerless augmented reality and its application in forensic medicine. International Journal of Computer Assisted Radiology and Surgery, 10(5).
  • Khalifa, F. A., Semary, N. A., El-Sayed, H. M & Hadhoud, M. M. (2015). Markerless Tracking for Augmented Reality Using Different Classifiers. Advances in Intelligent Systems and Computing, 407.
  • Kesima, M & Ozarslan, Yasin. (2012). Augmented Reality in Education: Current Technologies and the Potential for Education. Procedia - Social and Behavioral Sciences, 47(2012), 297-302.
  • Kaufmann, H., Schmalstieg, D & Wagner, M. (2000). Construct3D: A Virtual Reality Application for Mathematics and Geometry Education. Education and Information Technologies, 5(4), 263-276.
  • Kato, H & Billinghurst, M. (1999). Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System. Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality, 85.
  • Karami, E., Prasad, S & Shehata, M. (2017). Image Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images. Conference: 2015 Newfoundland Electrical and Computer Engineering Conference.
  • Kangas, K & R ning, J. (2002). Using Mobile Code to Create Ubiquitous Augmented Reality. Wireless Networks, 8(2–3), 199–211.
  • Jun, P., Bolan, J & Neumann, U. (1999). Vision-based pose computation: robust and accurate augmented reality tracking. Proceedings 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR'99).
  • Juan, M., Carrizo, M., Abad, F & Gim nez, M. (2011a). Using an augmented reality game to find matching pairs. 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011-In Co-operation with EUROGRAPHICS, Full Papers Proceedings, 59–66.
  • Juan, M. C., Joele, D., Ba os, R., Botella, C., Alca iz, M & van der Mast, Ch. (2011). A Markerless Augmented Reality System for the treatment of phobia to small animals. Journal International Journal of Human–Computer Interaction, 27(5), 436-449.
  • Jiang, B., Neumann, U & You, S. (2004). A Robust Hybrid Tracking System for Outdoor Augmented Reality. Proceedings of the IEEE Virtual Reality, 3.
  • Jamali, S., Shiratuddin, M. F & Wong, K. (2014). An Overview of mobile- Augmented Reality in Higher Education. Int. J. Recent Trends Engineering and Technology, 11(1).
  • Ismail, A. W., Billinghurst, M & Sunar, M. S. (2015). Vision-Based Technique and Issues for Multimodal Interaction in Augmented Reality. Proceedings of the 8th International Symposium on Visual Information Communication and Interaction, 75–82.
  • Indrawan, I. W. A., Bayupati, I. P. A & Putri, D. P. S. (2018). Markerless Augmented Reality Utilizing Gyroscope to Demonstrate the Position of Dewata Nawa Sanga. International Journal of Interactive Mobile Technologies, 12(1).
  • Imrattanatrai, W., Hanittinan, C., Tanachaihirunsiri, N & Kamnoonwatana, N. (2014). Real-time Recognition and Augmented reality for Education. 2014 Third ICT International Student Project Conference.
  • Imrattanatrai, W., Hanittinan, C., Tanachaihirunsiri, N & Kamnoonwatana, N. (2014). Real-time Recognition and Augmented reality for Education. 2014 Third ICT International Student Project Conference, 17-20.
  • Ib ez, M-B & Delgado-Kloos, C. (2018). Augmented reality for STEM learning: A systematic review. Computers & Education, 123(2018), 109-123.
  • Huanliang, L. (2015). Image Contour Extraction Method based on Computer Technology. 4th National Conference on Electrical, Electronics and Computer Engineering.
  • Huang, Z & Leng, J. (2010). Analysis of Hu's Moment Invariants on Image Scaling and Rotation. 2010 2nd International Conference on Computer Engineering and Technology, 476-480.
  • Huang, W., Wu, L-D., Song, H-C & Wei, Y-M. (2012). RBRIEF: a robust descriptor based on random binary comparisons. IET Computer Vision, 7(1).
  • Hsiao, O.-F. (2010). Can we combine learning with augmented reality physical activity? Journal of Cyber Therapy and Rehabilitation 3, 51–62.
  • Hoff, W. A & Khoi, N. (1996). Computer vision-based registration techniques for augmented reality. Proceedings of Intelligent Robots and Computer Vision XV, 2904, 538-548.
  • Hoang, T. N & Thomas, B. H. (2010). “Augmented viewport: an action at a distance technique for outdoor AR using distant and zoom lens cameras,” in Proceedings-International Symposium on Wearable Computers, ISWC.
  • Herza, M & Rauschnabel, P. A. (2019). Understanding the diffusion of virtual reality glasses: The role of media, fashion and technology. Technological Forecasting & Social Change, 138(2019), 228-242.
  • Herpich, F., Guarese, R. L. M & Tarouco, L. M. R. (2017). A Comparative Analysis of Augmented Reality Frameworks Aimed at the Development of Educational Applications. Creative Education, 08(09), 1433-1451.
  • Henderson, S. J & Feiner, S. K. (2011). “Augmented reality in the psychomotor phase of a procedural task,” in 2011 10th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2011 (Basel), 191–200.
  • Henderson, S. J & Feiner, S. (2009). Evaluating the benefits of augmented reality for task localization in maintenance of an armored personnel carrier turret. Science and Technology Proceedings-IEEE 2009 International Symposium on Mixed and Augmented Reality, ISMAR 2009 (Orlando, FL), 135–144.
  • Henderson, S. J & Feiner, S. (2009). Evaluating the benefits of augmented reality for task localization in maintenance of an armored personnel carrier turret. ISMAR '09 Proceedings of the 2009 8th IEEE International Symposium on Mixed and Augmented Reality, 135-144.
  • Henderson, S & Feiner, S. (2011). Exploring the benefits of augmented reality documentation for maintenance and repair. IEEE Trans Visual. Computer Graphics 17, 1355–1368.
  • Hedberg, H., Nouri, J., Hansen, P & Rahmani, R. (2018). A Systematic Review of Learning through Mobile Augmented Reality. International Journal of Interactive Mobile Technologies (iJIM), 12(3).
  • He, Z., Wu, L & Li, X. (2018). When art meets tech: The role of augmented reality in enhancing museum experiences and purchase intentions. Tourism Management, 68, 127-139.
  • Hassaballah, M. (2016). Image features detection, description and matching. Image Feature Detectors and Descriptors, Springer International Publishing, 1, 11- 45.
  • Harris, C & Stephens, M. (1988). A combined corner and edge detector. Proceedings of the Alvey Vision Conference, 147–151.
  • Harris, C & Stephens, M. (1988). A combined corner and edge detector. Fourth Alvey Vision Conference.
  • Hakkarainen, M., Woodward, C & Billinghurst, M. (2008). Augmented assembly using a mobile phone. Proceedings-7th IEEE International Symposium on Mixed and Augmented Reality 2008, ISMAR 2008, 167–168.
  • Ha, T & Woo, W. (2010). An empirical evaluation of virtual hand techniques for 3D object manipulation in a tangible augmented reality environment. 3DUI 2010-IEEE Symposium on 3D User Interfaces 2010, Proceedings, 91–98.
  • H rst, W & Van Wezel, C. (2013). Gesture-based interaction via finger tracking for mobile augmented reality. Multimedia Tools Application 62, 233–258.
  • H llerer, T., Feiner, S., Terauchi, T., Rashid, G & Hallaway, D. (1999). Exploring MARS: developing indoor and outdoor user interfaces to a mobile augmented reality system. Computer & Graphics, 23(6), 779-785.
  • Gurjar, S & Somani, H. (2016). A Survey on Use of Augmented Reality in Education. International Journal of Engineering Development and Research (IJEDR), 4(4).
  • Gee, A. P., Webb, M., Escamilla-Ambrosio, J., Mayol-Cuevas, W & Calway, A. (2011). A topometric system for wide area augmented reality. Computers & Graphics 35, (4), 854-868.
  • Gavish, N., Guti rrez, T., Webel, S., Rodr guez, J., Peveri, M & Bockholt, U. (2013). Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks. Interact. Learn. Environ. 23, 778–798.
  • Gao, Q. H., Wan, T. R., Tang, W & Chen, L. (2017). A Stable and Accurate Markerless Augmented Reality Registration Method. 2017 International Conference on Cyberworlds.
  • Gabbard, J., Schulman, R., Edward Swan II, J., Lucas, J., Hix, D & Gupta, D. (2005). An empirical user-based study of text drawing styles and outdoor background textures for augmented reality. Proceedings-IEEE Virtual Reality, 11–18.317.
  • Fukuda, T., Yabuki, N & Motamedi, A. (2016). A markerless augmented reality system using image processing techniques for architecture and urban environment. The 21st International Conference on Computer-Aided Architectural Design, 713-722.
  • Freitas, R & Campos, P. (2008). SMART: a system of augmented reality for teaching 2nd grade students. Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction, BCS HCI 2008, (2), 27–30.
  • Fleder, M., Pillai, Sudeep & Scott, Jeremy. (2017). 3D Object Tracking Using the Kinect, MIT CSAIL.
  • Fischler, M. A & Bolles, R. C. (1981). Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications ACM, 24 (1981), 381–395.
  • Fiorentino, M., Uva, A. E., Gattullo, M., Debernardis, S & Monno, G. (2014). Augmented reality on large screen for interactive maintenance instructions. Computer Industrial 65, 270–278.
  • Fiorentino, M., Debernardis, S., Uva, A. E & Monno, G. (2013). Augmented reality text style readability with see-through head-mounted displays in industrial context. Presence 22, 171–190.
  • Fiala, M. (2005). ARTag, a fiducial marker system using digital techniques. Computer Vision and Pattern Recognition. CVPR. IEEE Computer Society Conference on, 2, 590-596.
  • Fiala, M & Roth, G. Magic Lens Augmented Reality: Table-top and Augmentorium. the ACM SIGGRAPH 2007 posters.
  • Feuerstack, S., de Oliveira, . C. M., dos Santos Anjo. M., Araujo. R. B & Pizzolato. E. B. (2015). Model-based design of multimodal interaction for augmented reality web applications. Proceedings of the 20th International Conference on 3D Web Technology, 259–267.
  • Felsberg, M & Hedborg, J. (2007). Real-time view-based pose recognition and interpolation for tracking initialization. Journal of Real-Time Image Processing, 2(2-3), 103-115.
  • Feiner, S., MacIntyre, B., Hollerer, T & Webster, A. (1997). A Touring Machine: Prototyping 3D Mobile Augmented Reality Systems for Exploring the Urban Environment. Proceedings of the 1st IEEE International Symposium on Wearable Computers, 74.
  • Fedorov, R., Frajberg, D & Fraternali, P. (2016). Conference: International Conference on Augmented Reality, Virtual Reality and Computer Graphics, 281-301.
  • Evans, C. (2009). Notes on the OpenSURF library. University of Bristol.
  • Ericson, M., Santos, C., Chen, A & Taketomi, T. (2016). Augmented Reality Learning Experiences: Survey of Prototype Design and Evaluation. Computers in Human Behavior, 57, 334-342.
  • Egodagamage, R & Tuceryan M. (2017). A collaborative Augmented Reality framework based on Distributed Visual SLAM. 2017 International Conference on Cyberworlds, 25-32.
  • Dutta, K. (2015). Augmented Reality for E-Learning. Seminar Augmented Reality, Mobile & Wearable.
  • Dung, L-R., Huang, C-M & Wu, Y-Y. (2013). Implementation of RANSAC Algorithm for Feature-Based Image Registration. Journal of Computer and Communications, 1, 46-50.
  • Donghyun, K., Kwanho, K., Joo-Young, K., Seungjin, L., Se-Joong, L & Hoi-Jun, Y. (2009). 81.6 GOPS Object Recognition Processor Based on a Memory- Centric NoC. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 17(3), 370-383.
  • Dixon, B., Daly, M., Chan, H., Vescan, A., Witterick, I & Irish, J. (2011). Augmented image guidance improves skull base navigation and reduces task workload in trainees: a preclinical trial. Laryngoscope 121, 2060–2064.
  • Dieck, M. C & Jung, T. H. (2017). Value of augmented reality at cultural heritage sites: A stakeholder approach. Journal of Destination Marketing & Management, 6(2017), 110-117.
  • Dey, A., Billinghurst, M., Lindeman, R. W & Swan II, J. E. (2018). A Systematic Review of 10 Years of Augmented Reality Usability Studies: 2005 to 2014. 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), 49-50.
  • Davison, A. J., Mayol, W. W & Murray, D. W. (2003). Real-time localization and mapping with wearable active vision. The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings, (18–27).
  • Dacko S.G. (2017), Enabling smart retail settings via mobile augmented reality shopping apps, Technological Forecasting Social Change 124 243-256.
  • D nser, A., Grasset, R & Billinghurst, M. (2008). A Survey of Evaluation Techniques Used in Augmented Reality Studies. Human Interface Technology Laboratory New Zealand,
  • D hne, P & Karigiannis, J. N. (2002). Archeoguide: system architecture of a mobile outdoor augmented reality system. Proceedings. International Symposium on Mixed and Augmented Reality, 263.
  • Cuendet, S., Bonnard, Q., Do-Lenh, S & Dillenbourg, P. (2013). Designing augmented reality for the classroom. Computers & Education, 68, 557-569.
  • Cordeiro, D., Jesus, R & Correia, N. (2015). ARZombie: A Mobile Augmented Reality Game with Multimodal Interaction. 2015 7th International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN), 17.
  • Conejo, R., Barros, B., Guzm n, E & Garcia-Vi as, J-I. (2013). A web based collaborative testing environment. Computers & Education 68, 440-457.
  • Comport, A. I., Marchand, E & Chaumette, F. (2003). A real-time tracker for markerless augmented reality. ACM/IEEE Int. Symp. on Mixed and Augmented Reality, ISMAR’03, 36-45.
  • Cianciarulo, D. (2015). From Local Traditions to “Augmented Reality”. The MUVIG Museum of Viggiano (Italy). Procedia-Social and Behavioral Sciences, 188, 138-143.
  • Chien-Wen, C., Wen-Zheng, C., Jain-Wei, P & Bo-Xun, C. (2017). A Real-Time Markerless Augmented Reality Framework Based on SLAM Technique.
  • Chien, H. J. When to use what feature? SIFT, SURF, ORB, or AKAZE features for monocular visual odometry. IEEE International Conference on Image and Vision Computing New Zealand, Palmerston North, IVCNZ, 1-6.
  • Chia, K. W., Cheok, A. D & Prince, S. J. D. (2002). Online 6 DOF Augmented Reality Registration from Natural Features. ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality, 305.
  • Cheng, K-H & Tsai, C-C. (2014). Children and parents’ reading of an augmented reality picture book: Analyses of behavioral patterns and cognitive attainment. Computers & Education, 72(2014), 302-312.
  • Cheng, J., Chen, K & Chen, W. (2017). Comparison of Marker-Based and Markerless AR: A Case Study of An Indoor Decoration System. Proceedings of the Joint Conference on Computing in Construction, 483-490.
  • Chang, Y. L & Leou, J. J. (1991). A model-based approach to representation and matching of object shape patterns. Pattern Recognition Letters 13, 707-714.
  • Caudell, T. P & Mizell, D. W. (1992). Augmented reality: an application of headsup display technology to manual manufacturing processes. Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences.
  • Carmigniani, J., Furht, B., Anisetti, M., Ceravolo, P., Damiani, E & Ivkovic, M. (2011). Augmented reality technologies, systems and applications. Multimedia Tools and Applications 51, 341–377.
  • Capece, N., Agatiello, R & Erra, U. (2016). A client-server framework for the design of geo-location based augmented reality applications. 20th International Conference Information Visualization,
  • Calvet, L., Gurdjos, P., Griwodz, C & Gasparini, S. (2016). Detection and Accurate Localization of Circular Fiducials under Highly Challenging Conditions. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
  • Calonder M., Lepetit V., Strecha C & Fua P. (2010). BRIEF: Binary Robust Independent Elementary Features. European Conference on Computer Vision (ECCV).
  • Cai, Xu., W, Xu & Feng-Kuang, C. (2014). A case study of Augmented Reality simulation system application in a chemistry course. Computer in Human Behavior, 37, 31-40.
  • Cadaviecoa, J. F., Goul o, M. F & Costales, A. F. (2012). Using Augmented Reality and m-learning to optimize students’ performance in Higher Education. Procedia - Social and Behavioral Sciences, 46( 2012 ), 2970-2977.
  • Bunnun, P., Subramanian, S & Mayol-Cuevas, W. W. (2013). In Situ interactive image-based model building for Augmented Reality from a handheld device. Virtual Reality 17, 137–146.
  • Brown, M & Lowe, D. G. (2002). Invariant features from interest point groups. British Machine Vision Conference, 21(2002), 656–665.
  • Brown, L. G. (1992). A survey of image registration techniques. ACM Computing Surveys, 24(4), 325-376.
  • Bradski, G & Kaehler, A. (2008). Learning OpenCV: Computer vision with the OpenCV library. O’Reilly Media.
  • Bleser, G & Stricker, D. (2008). Advanced tracking through efficient image processing and visual-inertial sensor fusion. IEEE Virtual Reality Conference, 137-144.
  • Billinghurst, M., Clark, A.J & Lee, G.A. (2015). A survey of augmented reality. Found. Trends Hum. Compute. Interact. 8(2–3), 73–272.
  • Billinghurst, M., Clark, A & Lee, G. (2014). A Survey of Augmented Reality. Foundations and Trends in Human-Computer Interaction, 8(2-3), 73–272.
  • Bhatnagar, D. K. (1993). Position trackers for head mounted display systems: A survey. Technical Report TR93-10.
  • Bhardwaja, S & Mittal, A. (2012). A Survey on Various Edge Detector Techniques. Procedia Technology 4, 220 – 226.
  • Beus, H. L & Tiu, S. S. H. (1987). An Improved Corner Detection Algorithm Based on Chain-Coded Plane Curves. Pattern Recognition, 20(3), 291-296.
  • Bernardos, A & Casar, J. (2011). Analyzing Business Models for Mobile Augmented Reality. Proceedings of the 2011 15th International Conference on Intelligence in Next Generation Networks. Institute of Electrical and Electronics Engineers (IEEE), 97–102.
  • Bengler, K & Passaro, R. Augmented reality in cars: Requirements and constraints. ISMAR’06 industrial track.
  • Belhaoua, A., Kornmann, A & Radoux, J. (2014). Accuracy Analysis of an Augmented Reality System. 2014 12th International Conference on Signal Processing (ICSP2014) Proceedings, 1169-1174.
  • Beis, J & Lowe, D. G. (1997). Shape indexing using approximate nearest-neighbour search in high-dimensional spaces. Conference on Computer Vision and Pattern Recognition, 1000–1006.
  • Behringer, R. (1999). Registration for Outdoor Augmented Reality Applications Using Computer Vision Techniques and Hybrid Sensors. Proceedings of the IEEE Virtual Reality, 244.
  • Bay, H., Tuytelaars, T & Gool, L. V. (2006). SURF: Speeded Up Robust Features. European Conference on Computer Vision (ECCV), 404-417.
  • Basori, A. H. (2012). Vision-based Tracking Technology for Augmented Reality: A Survey. International Conference on Digital Media.
  • Bajura, M & Neumann, U. (1995). Dynamic registration correction in augmentedreality systems. Proceedings Virtual Reality Annual International Symposium.
  • Baillot, Y., Julier, S. J., Brown, D & Mark, A. L. (2003). A Tracker Alignment Framework for Augmented Reality. Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality, 142.
  • Babineca, A., Jurišicaa, L., Hubinsk a, P & DuchoĖa, F. (2014). Visual localization of mobile robot using artificial markers. Modelling of Mechanical and Mechatronic Systems MMaMS 2014, 96(2014), 1-9.
  • Azuma, R. T., Ho, Bruce R., Neely III, H. E., Sarfaty, R., Daily, M. J., Bishop, G., Chi, V., Welch, G., Neumann, U & You, S. (1998). Making augmented reality work outdoors requires hybrid tracking. In Proceedings of the First International Workshop on Augmented Reality, (1).
  • Azuma, R. T. (1999). The Challenge of Making Augmented Reality Work Outdoors. In Mixed Reality: Merging Real and Virtual Worlds, (21), 379-390.
  • Azuma, R. T. (1997). A survey of augmented reality. Presence: Teleoperators and Virtual Environments, 6(4), 355–385.
  • Anderson, F & Bischof, W. F. (2014). Augmented reality improves myoelectric prosthesis training. International Journal Disability Human Development 13, 349–354.
  • An, Y & Sun, W. (2012). A Contour-Based Approach to Multisensor Image Registration Using Narrow Angle Features. The 2012 Second International Conference on Electric Information and Control Engineering, 1.
  • Almeida, I., Oikawa, M., Carres, J., Miyazaki, J., Kato, H & Billinghurst, M. (2012). AR-based video-mediated communication: a social presence enhancing experience. Proceedings-2012 14th Symposium on Virtual and Augmented Reality, SVR 2012, 125–130.
  • Albrecht, U.-V., Folta-Schoofs, K., Behrends, M & Von Jan, U. (2013). Effects of mobile augmented reality learning compared to textbook learning on medical students: randomized controlled pilot study. J. Med. Int. Res. 15
  • Akinbiyi, T., Reiley, C. E., Saha, S., Burschka, D., Hasser, C. J & Yuh, D. D. (2006). Dynamic augmented reality for sensory substitution in robot-assisted surgical systems. Annual International Conference of the IEEE Engineering in Medicine and Biology-Proceedings, 567-570.
  • Akgul, O. (2016). Applying Deep Learning in Augmented Reality Tracking. 2016 12th International Conference on Signal-Image Technology & Internet- Based Systems, 47-54.
  • Ak ayir, Murat & Ak ay, Gok e. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review 20, 1-11.
  • Ajanki, A., Billinghurst, M., Gamper, H., J rvenp , T., Kandemir, M & Kaski, S. (2011). An augmented reality interface to contextual information. Virtual Reality 15, 161–173.
  • Ahmed, L., Hamdy, S., Hegazy, D & El-Arif, T. (2015). Interaction Techniques in Mobile Augmented Reality: State-of-the-art. 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems, 424–433.
  • Agusanto, K., Li, L., Chuangui, Z & Sing, Ng Wan. (2003). Photorealistic rendering for augmented reality using environment illumination. In Mixed and Augmented Reality. Proceedings. The Second IEEE and ACM International Symposium on, 208–216.
  • Adcock, M., Hutchins, M & Gunn, C. (2003). Augmented reality haptics: Using artoolkit for display of haptic applications. In Proceedings of 2nd IEEE International Augmented Reality Toolkit Workshop, 1–2.
  • Abidin, R. Z., Arshad, H & Shukri, S. A. A. (2017). A framework of adaptive multimodal input for location-based augmented reality application. Center for Artificial Intelligence and Technology (CAIT), 9(2– 11), 97–103.
  • Abdel-Badeeh, M. S., Adel, A. S & Usama, A. E. (2005). A Vertex Chain Code Approach for Image Recognition. ICGST-GVIP Journal, 5(3).
  • Ababsa, F., Didier, J. Y., Zendjebil, I. M & Mallem, M. (2008). Markerless Vision based Tracking of Partially Known 3D Scenes for Outdoor Augmented Reality Applications. International Symposium on Visual Computing ISVC, (5358), 498-507.
  • Ababsa, F & Mallem, M. (2004). Robust Camera Pose Estimation Using 2d Fiducials Tracking for Real-Time Augmented Reality Systems. Proceedings VRCAI 2004, ACM SIGGRAPH International Conference on Virtual Reality Continuum and its Applications in Industry.
  • 14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC). 127-132.