메뉴 건너뛰기




Volumn 07-12-June-2015, Issue , 2015, Pages 1520-1528

Discrete hyper-graph matching

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; PATTERN MATCHING; PATTERN RECOGNITION;

EID: 84959254964     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298759     Document Type: Conference Paper
Times cited : (76)

References (39)
  • 1
    • 24644502276 scopus 로고    scopus 로고
    • Shape matching and object recognition using low distortion correspondences
    • A. C. Berg, T. L. Berg, and J. Malik. Shape matching and object recognition using low distortion correspondences. In CVPR, 2005. I
    • (2005) CVPR , pp. I
    • Berg, A.C.1    Berg, T.L.2    Malik, J.3
  • 2
    • 0001078992 scopus 로고
    • A global optimization algorithm for concave quadratic programming problems
    • I. M. B omze and G. D anninger. A global optimization algorithm for concave quadratic programming problems. SIAM Journal on Optimization, pages 826-842, 1993
    • (1993) SIAM Journal on Optimization , pp. 826-842
    • Omze, B.I.M.1    Anninger, G.D.2
  • 4
    • 79952280414 scopus 로고    scopus 로고
    • Measuring 3d shape similarity by graph-based matching of the medial scaffolds
    • M. C. Chang and B. B. Kimia. Measuring 3d shape similarity by graph-based matching of the medial scaffolds. Computer Vision and Image Understanding, pages 707-720, 2011. 1,2
    • (2011) Computer Vision and Image Understanding , vol.1 , Issue.2 , pp. 707-720
    • Chang, M.C.1    Kimia, B.B.2
  • 5
    • 78049510524 scopus 로고    scopus 로고
    • Efficient high order matching
    • M. Chertok and Y. Keller. Efficient high order matching. PAMI, 2010
    • (2010) PAMI
    • Chertok, M.1    Keller, Y.2
  • 7
    • 80052887582 scopus 로고    scopus 로고
    • R eweighted random walks for graph matching
    • 1,2,3,5,6
    • M. C ho,J. L ee, and K. M. L ee. R eweighted random walks for graph matching. In ECCV, 2010. 1,2,3,5,6
    • (2010) ECCV
    • Ho, M.C.1    Lee, J.2    Lee, K.M.3
  • 8
    • 77955674676 scopus 로고    scopus 로고
    • A tensor-based algorithm for high-order graph matching
    • I, 2, 3, 4, 5
    • O. D uchenne, F. B ach, I. K weon, and J. P once. A tensor-based algorithm for high-order graph matching. In CVPR, 2009. I, 2, 3, 4, 5
    • (2009) CVPR
    • Uchenne, O.D.1    Ach, F.B.2    Weon, I.K.3    Once, J.P.4
  • 9
    • 0033715359 scopus 로고    scopus 로고
    • Weighted matchings for dense stereo correspondence
    • G. Fielding and M. Kam. Weighted matchings for dense stereo correspondence. Pattern Recognition, pages I 151-1524, 2000. I
    • (2000) Pattern Recognition , vol.1 , pp. I151-1524
    • Fielding, G.1    Kam, M.2
  • 11
    • 84973882454 scopus 로고    scopus 로고
    • Softmax to softassign: Neural network algorithms for combinatorial opti-mization
    • S. Gold and A. Rangarajan. Softmax to softassign: neural network algorithms for combinatorial opti-mization. 1. Arti( Neural Netw, 1996. 4
    • (1996) 1. Arti( Neural Netw , pp. 4
    • Gold, S.1    Rangarajan, A.2
  • 12
    • 0002719797 scopus 로고
    • The hungarian method for the assignment problem
    • H. W. Kuhn. The hungarian method for the assignment problem. In Export. Naval Research LOlistics Quarterly, pages 83-97, 1955. I
    • (1955) Export. Naval Research LOlistics Quarterly , vol.1 , pp. 83-97
    • Kuhn, H.W.1
  • 13
    • 80052907428 scopus 로고    scopus 로고
    • Hyper-graph matching via reweighted randomwalks
    • 1,2,3,5,6,7
    • J. Lee, M. Cho, and K. M. Lee. Hyper-graph matching via reweighted randomwalks. In CVPR, 2011. 1,2,3,5,6,7
    • (2011) CVPR
    • Lee, J.1    Cho, M.2    Lee, K.M.3
  • 14
    • 38149073039 scopus 로고    scopus 로고
    • A spectral technique for correspondence problems using pairwise constraints
    • M. Leordeanu and M. Hebert. A spectral technique for correspondence problems using pairwise constraints. In ICCV, 2005. 1,2
    • (2005) ICCV , pp. 1-2
    • Leordeanu, M.1    Hebert, M.2
  • 15
    • 84858731529 scopus 로고    scopus 로고
    • An integer projected fixed point method for graph matching and map inference
    • 1,2,3,5
    • M. Leordeanu, M. Hebert, and R. Sukthankar. An integer projected fixed point method for graph matching and map inference. In NIPS, 2009. 1,2,3,5
    • (2009) NIPS
    • Leordeanu, M.1    Hebert, M.2    Sukthankar, R.3
  • 17
    • 84856649150 scopus 로고    scopus 로고
    • Semi-supervised learning and optimization for hypergraph matching
    • M. Leordeanu, A. Zanfir, and C. Sminchisescu. Semi-supervised learning and optimization for hypergraph matching. In ICCV, 2011. 2,3
    • (2011) ICCV , pp. 2-3
    • Leordeanu, M.1    Zanfir, A.2    Sminchisescu, C.3
  • 19
    • 84866684903 scopus 로고    scopus 로고
    • Learning ordinal discriminative features for age estimation
    • C. Li, Q. Liu, J. Liu, and H. Lu. Learning ordinal discriminative features for age estimation. In CVPR, 2012
    • (2012) CVPR
    • Li, C.1    Liu, Q.2    Liu, J.3    Lu, H.4
  • 20
    • 0033566439 scopus 로고    scopus 로고
    • Convergence properties of the softassign quadratic assignment algorithm
    • A. Rangarajan, A. Yuille, and E. Mjolsness. Convergence properties of the softassign quadratic assignment algorithm. Neural Computation, 1999
    • (1999) Neural Computation
    • Rangarajan, A.1    Yuille, A.2    Mjolsness, E.3
  • 21
    • 0033721592 scopus 로고    scopus 로고
    • The higher-order power method revisited: Convergence proofs and effective initialization
    • P. A. Regalia and E. Kofidi. The higher-order power method revisited: Convergence proofs and effective initialization. In ICASSP, 2000
    • (2000) ICASSP
    • Regalia, P.A.1    Kofidi, E.2
  • 23
    • 0000142394 scopus 로고
    • A relationship between arbitrary positive matrices and doubly stochastic matrices
    • R. Sinkhorn and A. Rangarajan. A relationship between arbitrary positive matrices and doubly stochastic matrices. Ann. Math. Statistics, 1964
    • (1964) Ann Math. Statistics
    • Sinkhorn, R.1    Rangarajan, A.2
  • 24
    • 84887374709 scopus 로고    scopus 로고
    • Graph matching via sequential monte carlo
    • Y. Suh, M. Cho, and K. M. Lee. Graph matching via sequential monte carlo. In ECCV, 2012. 2
    • (2012) ECCV , pp. 2
    • Suh, Y.1    Cho, M.2    Lee, K.M.3
  • 25
    • 34249107752 scopus 로고    scopus 로고
    • B alanced graph matching
    • P. S. T. Cour and J. S hi. B alanced graph matching. I n NIPS, 2006. 2
    • (2006) I N NIPS , pp. 2
    • Cour, T.P.S.1    Hi, J.S.2
  • 26
    • 84896062628 scopus 로고    scopus 로고
    • On the convergence of graph matching: Graduated assignment revisited
    • Y. Tian, J. Yan, H. Zhang, Y. Zhang, X. Yang, and H. Zhao On the convergence of graph matching: Graduated assignment revisited. In ECCV, 2012.
    • (2012) ECCV
    • Tian, Y.1    Yan, J.2    Zhang, H.3    Zhang, Y.4    Yang, X.5    Zhao, H.6
  • 27
    • 70350352922 scopus 로고    scopus 로고
    • Comparison of local image descriptors for full 6 degree-of-freedom pose estimation
    • F. Viksten, P. Forssen, B. Johansson, and A. Moe. Comparison of local image descriptors for full 6 degree-of-freedom pose estimation. In ICRA, 2009
    • (2009) ICRA
    • Viksten, F.1    Forssen, P.2    Johansson, B.3    Moe, A.4
  • 28
    • 77955988495 scopus 로고    scopus 로고
    • Vehicle detection and tracking in wide fie1d-of-view aerial video
    • J. Xiao, H. Cheng, H. Sawhney, and F. Han. Vehicle detection and tracking in wide fie1d-of-view aerial video. In CVPR, 2010
    • (2010) CVPR
    • Xiao, J.1    Cheng, H.2    Sawhney, H.3    Han, F.4
  • 30
    • 85026926078 scopus 로고    scopus 로고
    • Graduated consistency-regularized optimization for multi-graph matching
    • J. Y an, Y. Li,W. L iu, H. Y. Zha,X. K. Y ang, and S. M. C hu. G raduated consistency-regularized optimization for multi-graph matching. In ECCV, 2014
    • (2014) ECCV
    • An, J.Y.1    Li, Y.2    Liu, W.3    Zha, H.Y.4    Yang, X.K.5    Chu, S.M.6
  • 31
    • 85026932499 scopus 로고    scopus 로고
    • V isual saliency detection via rank-sparsity decomposition
    • J. Y an,J. L iu, Y. Li,Z. N iu, and Y. Liu. V isual saliency detection via rank-sparsity decomposition. In ICTP, 2010
    • (2010) ICTP
    • An, J.Y.1    Liu, J.2    Li, Y.3    Niu, Z.4    Liu, Y.5
  • 32
    • 84898779986 scopus 로고    scopus 로고
    • Joint optimization for consistent multiple graph matching
    • J. Yan, Y. Tian, H. Zha, X. Yang, Y. Zhang, and S. Chu. Joint optimization for consistent multiple graph matching. In ICCV, 2013
    • (2013) ICCV
    • Yan, J.1    Tian, Y.2    Zha, H.3    Yang, X.4    Zhang, Y.5    Chu, S.6
  • 33
    • 84942617925 scopus 로고    scopus 로고
    • Multi-view point registration via alternating optimization
    • J. Yan, J. Wang, H. Zha, X. Yang, and S. Chu. Multi-view point registration via alternating optimization. In AAAI, 2015. 2
    • (2015) AAAI , pp. 2
    • Yan, J.1    Wang, J.2    Zha, H.3    Yang, X.4    Chu, S.5
  • 34
  • 36
    • 85026933640 scopus 로고    scopus 로고
    • A ction recognition with exemplar based 2. 5 d graph matching
    • B. Y ao and F. L i. A ction recognition with exemplar based 2. 5 d graph matching. In ECCV, 2012. I
    • (2012) ECCV , pp. I
    • Ao, B.Y.1    Li, F.2
  • 37
    • 51949115377 scopus 로고    scopus 로고
    • Probabilistic graph and hypergraph matching
    • R. Z ass and A. S hashua. Probabilistic graph and hypergraph matching. In CVPR, 2008.
    • (2008) CVPR
    • Ass, R.Z.1    Hashua, A.S.2
  • 38
    • 84887346189 scopus 로고    scopus 로고
    • Deformable graph matching
    • F. Zhou and F. D. Torre. Deformable graph matching. In CVPR, 2013. I
    • (2013) CVPR , pp. I
    • Zhou, F.1    Torre, F.D.2
  • 39
    • 84866637329 scopus 로고    scopus 로고
    • Factorized graph matching
    • F. Zhou and F. D. L. Torre. Factorized graph matching. In CVPR, 2012.
    • (2012) CVPR
    • Zhou, F.1    Torre, F.D.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.