연구동향 분석

인공 구조물 내 직선을 찾기 위한 경험적 가중치를 이용한 소실점 검출 기법

김항태(Hang-Tae Kim) 송원석(Wonseok Song) 최혁(Hyuk Choi) 김태정(Taejeong Kim) 2015년

논문상세정보
인용/피인용
' 인공 구조물 내 직선을 찾기 위한 경험적 가중치를 이용한 소실점 검출 기법' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • artificial structure
  • hough transform
  • line detection
  • vanishing point detection
  • weight of line
  • 소실점 검출
  • 인공 구조물
  • 직선 검출
  • 직선의 가중치
  • 허프 변환
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
98 0

0.0%

' 인공 구조물 내 직선을 찾기 위한 경험적 가중치를 이용한 소실점 검출 기법' 의 참고문헌

  • Vanishing Point Detection in Corridors: Using Hough Transform and K-means Clustering
    R. Ebrahimpour IET Computer Vision [2010]
  • Vanishing Point Detection : Representation Analysis and New Approaches
    Cantoni, V. Lombardi, L. Porta, M. Sicard, N. Proc. of 11th International Conference on Image Analysis and Processing : 90 ~ 94 [2001]
  • Relative Depth-Map Generation from Monocular Image using a Valid Vanishing Point
    J. Han Proc. of Korea Computer Congress 2006 33 (2) [2006]
  • Real-time Vanishing Point Detection using the Local Dominant Orientation Signature
    J. Choi 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) : 1 ~ 4 [2011]
  • Progressive probabilistic Hough transform for line detection
    Galambos, C. Kittler, J. Matas, J. IEEE Computer Society Conference on Computer Vision and Pattern Recognition [1999]
  • New Strength of the Line for Detecting Vanishing Point
    H. Kim Proc. of Summer Conference on The Institute of Electronics and Information Engineers : 650 ~ 653 [2013]
  • Methods and Means to Recognize Complex Patterns
    P. Hough U.S. Patent 3,069,654 [1962]
  • Fast Vanishing-Point Detection in Unstructured Environments
    P. Moghadam IEEE Transactions on Image Processing 21 (1) : 425 ~ 430 [2012]
  • A New Approach to Vanishing Point Detection in Architectural Environments
    C. Rother Image and Vision Computing 20 (9) : 647 ~ 655 [2002]
  • A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-made Environments
    Y. Xu Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on. IEEE : 1376 ~ 1383 [2013]