메뉴 건너뛰기




Volumn , Issue , 2011, Pages 657-664

Hierarchical CRF with product label spaces for parts-based models

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX PARTS; CONDITIONAL RANDOM FIELD; CRITICAL PARTS; DATA SETS; FACIAL FEATURE; FACIAL FEATURE DETECTION; GLOBAL CONSTRAINTS; HUMAN POSE ESTIMATIONS; HUMAN-COMPUTER; IMAGE AUTO-ANNOTATION; IMAGE SEARCH; MODEL FRAMEWORK; NON-RIGID OBJECTS; OBJECT CLASS; PAIRWISE INTERACTION; PRODUCT LABELS; RESEARCH PROBLEMS; SUB-OPTIMAL PERFORMANCE; TREE STRUCTURES;

EID: 79958693807     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2011.5771328     Document Type: Conference Paper
Times cited : (6)

References (29)
  • 1
    • 70450203723 scopus 로고    scopus 로고
    • Pictorial structures revisited: People detection and articulated pose estimation
    • M. Andriluka, S. Roth, and B. Schiele. Pictorial structures revisited: People detection and articulated pose estimation. In CVPR, 2009.
    • (2009) CVPR
    • Andriluka, M.1    Roth, S.2    Schiele, B.3
  • 3
    • 0002702984 scopus 로고
    • Active shape models-'smart snakes'
    • T. Cootes, Taylor, and C.J. Active shape models-'smart snakes'. In BMVC, 1992.
    • (1992) BMVC
    • Cootes, T.1    Taylor, C.J.2
  • 4
    • 84898416245 scopus 로고    scopus 로고
    • Boosted regression active shape models
    • D. Cristinacce and T. Cootes. Boosted regression active shape models. In BMVC, 2007.
    • (2007) BMVC
    • Cristinacce, D.1    Cootes, T.2
  • 5
    • 51949111955 scopus 로고    scopus 로고
    • Parameterized kernel principal component analysis: Theory and applications to supervised and unsupervised image alignment
    • F. de la Torre and M. Nguyen. Parameterized kernel principal component analysis: Theory and applications to supervised and unsupervised image alignment. In Computer Vision and Pattern Recognition, 2008.
    • (2008) Computer Vision and Pattern Recognition
    • De La Torre, F.1    Nguyen, M.2
  • 6
    • 84898906904 scopus 로고    scopus 로고
    • Better appearance models for pictorial structures
    • M. Eichner and V. Ferrari. Better appearance models for pictorial structures. In BMVC, 2009.
    • (2009) BMVC
    • Eichner, M.1    Ferrari, V.2
  • 7
  • 8
    • 51949088307 scopus 로고    scopus 로고
    • Progressive search space reduction for human pose estimation
    • V. Ferrari, M. M. Jimenez, and A. Zisserman. Progressive search space reduction for human pose estimation. In CVPR, 2008.
    • (2008) CVPR
    • Ferrari, V.1    Jimenez, M.M.2    Zisserman, A.3
  • 9
  • 10
    • 0015567825 scopus 로고
    • The representation and matching of pictorial structures
    • M. A. Fischler and R. A. Elschlager. The representation and matching of pictorial structures. TC, 1973.
    • (1973) TC
    • Fischler, M.A.1    Elschlager, R.A.2
  • 14
    • 34948855438 scopus 로고    scopus 로고
    • Learning GMRF structures for spatial priors
    • L. Gu, E. Xing, and T. Kanade. Learning GMRF structures for spatial priors. In CVPR, 2007.
    • (2007) CVPR
    • Gu, L.1    Xing, E.2    Kanade, T.3
  • 16
  • 18
    • 33745939723 scopus 로고    scopus 로고
    • Beyond trees: Common-factor models for 2d human pose recovery
    • X. Lan and D. P. Huttenlocher. Beyond trees: Common-factor models for 2d human pose recovery. In ICCV, 2005.
    • (2005) ICCV
    • Lan, X.1    Huttenlocher, D.P.2
  • 19
    • 51949098112 scopus 로고    scopus 로고
    • Classification using intersection kernel support vector machines is efficient
    • S. Maji, A. C. Berg, and J. Malik. Classification using intersection kernel support vector machines is efficient. In CVPR, 2008.
    • (2008) CVPR
    • Maji, S.1    Berg, A.C.2    Malik, J.3
  • 20
    • 54749101216 scopus 로고    scopus 로고
    • Graph rigidity cyclic belief propagation, and point pattern matching
    • J. J. McAuley, T. S. Caetano, and M. S. Barbosa. Graph rigidity, cyclic belief propagation, and point pattern matching. PAMI, 2008.
    • (2008) PAMI
    • McAuley, J.J.1    Caetano, T.S.2    Barbosa, M.S.3
  • 21
    • 85134634152 scopus 로고    scopus 로고
    • Learning to parse images of articulated bodies
    • D. Ramanan. Learning to parse images of articulated bodies. In NIPS, 2006.
    • (2006) NIPS
    • Ramanan, D.1
  • 22
    • 33745958242 scopus 로고    scopus 로고
    • Recovering human body configurations using pairwise constraints between parts
    • X. Ren, A. C. Berg, and J. Malik. Recovering human body configurations using pairwise constraints between parts. In ICCV, 2005.
    • (2005) ICCV
    • Ren, X.1    Berg, A.C.2    Malik, J.3
  • 23
    • 77953185180 scopus 로고    scopus 로고
    • Optimal feature selection for subspace image matching
    • G. Roig, X. Boix, and F. De la Torre. Optimal feature selection for subspace image matching. In WICCV, 2009.
    • (2009) WICCV
    • Roig, G.1    Boix, X.2    De La Torre, F.3
  • 24
    • 79958708677 scopus 로고    scopus 로고
    • A multi-view nonlinear active shape model using kernel PCA
    • A. P. S. Romdhani, S. Gong. A multi-view nonlinear active shape model using kernel PCA. In ICCV, 1999.
    • (1999) ICCV
    • Romdhani, A.P.S.1    Gong, S.2
  • 25
    • 77956000513 scopus 로고    scopus 로고
    • Adaptive pose priors for pictorial structures
    • B. Sapp, C. Jordan, and B. Taskar. Adaptive pose priors for pictorial structures. In CVPR, 2010.
    • (2010) CVPR
    • Sapp, B.1    Jordan, C.2    Taskar, B.3
  • 26
    • 79958720362 scopus 로고    scopus 로고
    • Cascaded models for articulated pose estimation
    • B. Sapp, A. Toshev, and B. Taskar. Cascaded models for articulated pose estimation. In ECCV, 2010.
    • (2010) ECCV
    • Sapp, B.1    Toshev, A.2    Taskar, B.3
  • 27
    • 77953187857 scopus 로고    scopus 로고
    • Face alignment through subspace constrained mean-shifts
    • J. M. Saragih, S. Lucey, and J. F. Cohn. Face alignment through subspace constrained mean-shifts. In ICCV, 2009.
    • (2009) ICCV
    • Saragih, J.M.1    Lucey, S.2    Cohn, J.F.3
  • 29
    • 77951621805 scopus 로고    scopus 로고
    • Learning a hierarchical deformable template for rapid deformable object parsing
    • L. Zhu, Y. Chen, and A. Yuille. Learning a hierarchical deformable template for rapid deformable object parsing. PAMI, 2010.
    • (2010) PAMI
    • Zhu, L.1    Chen, Y.2    Yuille, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.