메뉴 건너뛰기




Volumn , Issue , 2014, Pages

Depth sweep regression forests for estimating 3D human pose from images

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; REGRESSION ANALYSIS;

EID: 85085406862     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/c.28.80     Document Type: Conference Paper
Times cited : (90)

References (39)
  • 17
    • 84898472539 scopus 로고    scopus 로고
    • Clustered pose and nonlinear appearance models for human pose estimation
    • S. Johnson and M. Everingham. Clustered pose and nonlinear appearance models for human pose estimation. In British Machine Vision Conference, 2010.
    • (2010) British Machine Vision Conference
    • Johnson, S.1    Everingham, M.2
  • 22
    • 77951199235 scopus 로고    scopus 로고
    • Relevant feature selection for human pose estimation and localization in cluttered images
    • R. Okada and S. Soatto. Relevant feature selection for human pose estimation and localization in cluttered images. In European Conference on Computer Vision, 2008.
    • (2008) European Conference on Computer Vision
    • Okada, R.1    Soatto, S.2
  • 30
    • 75149150235 scopus 로고    scopus 로고
    • Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
    • L. Sigal, A. O. Balan, and M. J. Black. Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion. International Journal of Computer Vision, 87(1-2), 2010.
    • (2010) International Journal of Computer Vision , vol.87 , Issue.1-2
    • Sigal, L.1    Balan, A.O.2    Black, M.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.