연구동향 분석

포즈 추적을 이용한 증강현실 리프팅 플레이어 생성

최종인 김종현 2020년

논문상세정보
    • 저자 최종인 김종현
    • 제어번호 106867907
    • 학술지명 韓國컴퓨터情報學會論文誌
    • 권호사항 Vol. 25 No. 5 [ 2020 ]
    • 발행처 한국컴퓨터정보학회
    • 발행처 URL http://www.ksci.re.kr
    • 자료유형 학술저널
    • 수록면 19-26
    • 언어 Korean
    • 출판년도 2020
    • 등재정보 KCI등재
    • 판매처
    유사주제 논문( 0)
인용/피인용

' 포즈 추적을 이용한 증강현실 리프팅 플레이어 생성' 의 참고문헌

  • Xnect:Real-time multiperson 3d human pose estimation with a single RGB camera
  • Vnect: Real-time 3d human pose estimation with a single rgb camera
  • Virtual ball player
  • Towards accurate multi-person pose estimation in the wild
  • Target-driven smoke animation
  • Stacked hourglass networks for human pose estimation
    A. Newell [2016]
  • Real-time control of physically based simulations using gentle forces
  • Pose machines: Articulated pose estimation via inference machines
  • Pictorial structures revisited: People detection and articulated pose estimation
  • Physics-based full-body soccer motion control for dribbling and shooting
  • Phase-functioned neural networks for character control
  • Openpose : Realtime multi-person 2d pose estimation using part affinity fields
  • Multi-source deep learning for human pose estimation
    W. Ouyang [2014]
  • Multi-person pose estimation with local joint-toperson associations
    U. Iqbal [2016]
  • L.: Backward steps in rigid body simulation
    C. Twigg [2008]
  • Keyframe control of smoke simulations
  • Keyframe control of complex particle systems using the adjoint method
    C. Wojtan [2006]
  • Joint training of a convolutional network and a graphical model for human pose estimation
  • Interactive synthesis of human-object interaction
    S. Jain [2009]
  • Interactive manipulation of rigid body simulations
    J. Popovic [2001]
  • Human pose estimation via convolutional part heatmap regression
    A. Bulat [2016]
  • Deeppose: Human pose estimation via deep neural networks
    A. Toshev [2013]
  • Deeploco: dynamic locomotion skills using hierarchical deep reinforcement learning
  • Deepercut: A deeper, stronger, and faster multi-person pose estimation model
  • Deepcut: Joint subset partition and labeling for multi person pose estimation
  • Deep residual learning for image recognition
    K. He [2015]
  • Clustered pose and nonlinear appearance models for human pose estimation
    S. Johnson [2010]
  • Articulated people detection and pose estimation:Reshaping the future
    A. Jain [2012]
  • Articulated part-based model for joint object detection and pose estimation
    M. Sun [2011]
  • A physics-based juggling simulation using reinforcement learning
    J. Chemin [2018]