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Volumn , Issue , 2012, Pages 662-669

What are good parts for hair shape modeling?

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY SHAPE; CO-OCCURRENCE PROBABILITY; CONSUMER IMAGES; EXTREME ENVIRONMENT; HAIR SHAPE MODELING; LOCAL PARTS; LOCAL SHAPE; PART IDENTIFICATION; POTENTIAL FUNCTION; REASONABILITY; SHAPE VARIATIONS; SUBSPACE CLUSTERING;

EID: 84866674574     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247734     Document Type: Conference Paper
Times cited : (29)

References (27)
  • 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
  • 2
    • 33845567121 scopus 로고    scopus 로고
    • Shape guided object segmentation
    • E. Borenstein and J. Malik. Shape guided object segmentation. In CVPR, 2006.
    • (2006) CVPR
    • Borenstein, E.1    Malik, J.2
  • 3
    • 56549121936 scopus 로고    scopus 로고
    • Combined top-down/bottomup segmentation
    • E. Borenstein and S. Ullman. Combined top-down/bottomup segmentation. PAMI, 30(12):2019-2125, 2008.
    • (2008) PAMI , vol.30 , Issue.12 , pp. 2019-2125
    • Borenstein, E.1    Ullman, S.2
  • 4
    • 33746419302 scopus 로고    scopus 로고
    • A generative sketch model for human hair analysis and synthesis
    • H. Chen and S.-C. Zhu. A generative sketch model for human hair analysis and synthesis. PAMI, 28(7):1025-1040, 2006.
    • (2006) PAMI , vol.28 , Issue.7 , pp. 1025-1040
    • Chen, H.1    Zhu, S.-C.2
  • 5
    • 84933530882 scopus 로고
    • Approximating discrete probabilitydistributions with dependence trees
    • C. K. Chow and C. N. Liu. Approximating discrete probabilitydistributions with dependence trees. T. Information Theory, 14(3):462-467, 1968.
    • (1968) T. Information Theory , vol.14 , Issue.3 , pp. 462-467
    • Chow, C.K.1    Liu, C.N.2
  • 6
    • 51949101231 scopus 로고    scopus 로고
    • A discriminatively trained, multiscale, deformable part model
    • P. Felzenszwalb, D. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. In CVPR, 2008.
    • (2008) CVPR
    • Felzenszwalb, P.1    McAllester, D.2    Ramanan, D.3
  • 8
    • 33947536269 scopus 로고    scopus 로고
    • High-performance rotation invariant multiview face detection
    • C. Huang, H. Ai, Y. Li, and S. Lao. High-performance rotation invariant multiview face detection. PAMI, 29(4):671-686, 2007.
    • (2007) PAMI , vol.29 , Issue.4 , pp. 671-686
    • Huang, C.1    Ai, H.2    Li, Y.3    Lao, S.4
  • 10
    • 33750129298 scopus 로고    scopus 로고
    • Convergent tree-reweighted message passing for energy minimization
    • V. Kolmogorov. Convergent tree-reweighted message passing for energy minimization. PAMI, 28(10):1568-1583, 2006.
    • (2006) PAMI , vol.28 , Issue.10 , pp. 1568-1583
    • Kolmogorov, V.1
  • 11
    • 79551518880 scopus 로고    scopus 로고
    • Mrf energy minimization and beyond via dual decomposition
    • N. Komodakis, N. Paragios, and G. Tziritas. Mrf energy minimization and beyond via dual decomposition. PAMI, 33(3):531-552, 2011.
    • (2011) PAMI , vol.33 , Issue.3 , pp. 531-552
    • Komodakis, N.1    Paragios, N.2    Tziritas, G.3
  • 12
    • 73549114422 scopus 로고    scopus 로고
    • Objcut: Efficient segmentation using top-down and bottom-up cues
    • M. P. Kumar, P. Torr, and A. Zisserman. Objcut: Efficient segmentation using top-down and bottom-up cues. PAMI, 32(3):530-545, 2010.
    • (2010) PAMI , vol.32 , Issue.3 , pp. 530-545
    • Kumar, M.P.1    Torr, P.2    Zisserman, A.3
  • 13
    • 77951193770 scopus 로고    scopus 로고
    • Facetracer: A search engine for large collections of images with faces
    • N. Kumar, P. N. Belhumeur, and S. K. Nayar. Facetracer: A search engine for large collections of images with faces. In ECCV, 2008.
    • (2008) ECCV
    • Kumar, N.1    Belhumeur, P.N.2    Nayar, S.K.3
  • 14
    • 67650691096 scopus 로고    scopus 로고
    • Markov Random field models for hair and face segmentation
    • K. C. Lee, D. Anguelov, B. Sumengen, and S. B. Gokturk. Markov random field models for hair and face segmentation. In AFG, 2008.
    • (2008) AFG
    • Lee, K.C.1    Anguelov, D.2    Sumengen, B.3    Gokturk, S.B.4
  • 15
    • 34548799026 scopus 로고    scopus 로고
    • Learning to combine bottom-up and top-down segmentation
    • A. Levin and Y. Weiss. Learning to combine bottom-up and top-down segmentation. In ECCV, 2006.
    • (2006) ECCV
    • Levin, A.1    Weiss, Y.2
  • 16
    • 24044550075 scopus 로고    scopus 로고
    • Learning with mixtures of trees
    • Oct
    • M. Meila and M. I. Jordan. Learning with mixtures of trees. JMLR, 1:1-48, Oct 2000.
    • (2000) JMLR , vol.1 , pp. 1-48
    • Meila, M.1    Jordan, M.I.2
  • 17
    • 70049102402 scopus 로고    scopus 로고
    • Frequential and color analysis for hair mask segmentation
    • C. Rousset and P. Coulon. Frequential and color analysis for hair mask segmentation. In ICIP, 2008.
    • (2008) ICIP
    • Rousset, C.1    Coulon, P.2
  • 18
    • 51949114829 scopus 로고    scopus 로고
    • Semantic texton forests for image categorization and segmentation
    • J. Shotton, M. Johnson, and R. Cipolla. Semantic texton forests for image categorization and segmentation. In CVPR, 2008.
    • (2008) CVPR
    • Shotton, J.1    Johnson, M.2    Cipolla, R.3
  • 19
    • 33845423382 scopus 로고    scopus 로고
    • Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation
    • J. Shotton, J. Winn, C. Rother, and A. Criminisi. Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation. In ECCV, 2006.
    • (2006) ECCV
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 20
    • 67650688258 scopus 로고    scopus 로고
    • United we stand: The role of head-structure in face recognition
    • P. Sinha and T. Poggio. United we stand: The role of headstructure in face recognition. Perception, 31(1):131-133, 2002.
    • (2002) Perception , vol.31 , Issue.1 , pp. 131-133
    • Sinha, P.1    Poggio, T.2
  • 21
    • 77951940600 scopus 로고    scopus 로고
    • A novel two-tier bayesian based method for hair segmentation
    • D. Wang, S. Shan, W. Zeng, H. Zhang, and X. Chen. A novel two-tier bayesian based method for hair segmentation. In ICIP, 2009.
    • (2009) ICIP
    • Wang, D.1    Shan, S.2    Zeng, W.3    Zhang, H.4    Chen, X.5
  • 22
    • 84862849415 scopus 로고    scopus 로고
    • A compositional exemplar-based model for hair segmentation
    • N. Wang and H. Ai. A compositional exemplar-based model for hair segmentation. In ACCV, 2010.
    • (2010) ACCV
    • Wang, N.1    Ai, H.2
  • 23
    • 84856640199 scopus 로고    scopus 로고
    • Who blocks who: Simultaneous clothing segmentation for grouping images
    • N.Wang and H. Ai. Who blocks who: simultaneous clothing segmentation for grouping images. In ICCV, 2011.
    • (2011) ICCV
    • Wang, N.1    Ai, H.2
  • 24
    • 33845597355 scopus 로고    scopus 로고
    • The layout consistent Random field for recognizing and segmenting partially occluded objects
    • J. Winn and J. Shotton. The layout consistent random field for recognizing and segmenting partially occluded objects. In CVPR, 2006.
    • (2006) CVPR
    • Winn, J.1    Shotton, J.2
  • 25
    • 33746469628 scopus 로고    scopus 로고
    • Detection and analysis of hair
    • Y. Yacoob and L. S. Davis. Detection and analysis of hair. PAMI, 28(7):1164-1169, 2006.
    • (2006) PAMI , vol.28 , Issue.7 , pp. 1164-1169
    • Yacoob, Y.1    Davis, L.S.2
  • 26
    • 71149086466 scopus 로고    scopus 로고
    • Learning structural svms with latent variables
    • C.-N. Yu and T. Joachims. Learning structural svms with latent variables. In ICML, 2009.
    • (2009) ICML
    • Yu, C.-N.1    Joachims, T.2
  • 27
    • 85162060346 scopus 로고    scopus 로고
    • Recursive segmentation and recognition templates for 2d parsing
    • L. Zhu, Y. Chen, Y. Lin, C. Lin, and A. Yuille. Recursive segmentation and recognition templates for 2d parsing. In NIPS, 2008.
    • (2008) NIPS
    • Zhu, L.1    Chen, Y.2    Lin, Y.3    Lin, C.4    Yuille, A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.