메뉴 건너뛰기




Volumn 295, Issue , 2015, Pages 323-336

Feature guided biased gaussian mixture model for image matching

Author keywords

Annealing; Biased; Deterministic; EM; Feature; GMM; Guided; Image matching; TPS

Indexed keywords

ALGORITHMS; ANNEALING; GAUSSIAN DISTRIBUTION; GEOMETRY; IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; METADATA;

EID: 84975862407     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2014.10.029     Document Type: Article
Times cited : (23)

References (59)
  • 1
    • 84975813207 scopus 로고    scopus 로고
    • http://lear.inrialpes.fr/people/Mikolajczyk/Database/rotation.html.
  • 2
    • 84859265172 scopus 로고    scopus 로고
    • Imposing semi-local geometric constraints for accurate correspondences selection in structure from motion: A game-theoretic perspective
    • A. Albarelli, E. Rodol, and A. Torsello Imposing semi-local geometric constraints for accurate correspondences selection in structure from motion: a game-theoretic perspective Int. J. Comput. Vis. 97 1 2012 36 53
    • (2012) Int. J. Comput. Vis. , vol.97 , Issue.1 , pp. 36-53
    • Albarelli, A.1    Rodol, E.2    Torsello, A.3
  • 6
    • 34250830971 scopus 로고
    • Principal warps: Thin-plate splines and the decomposition of deformations
    • F.L. Bookstein Principal warps: thin-plate splines and the decomposition of deformations IEEE Trans. Pattern Anal. Mach. Intell. 11 6 1989 567 585
    • (1989) IEEE Trans. Pattern Anal. Mach. Intell. , vol.11 , Issue.6 , pp. 567-585
    • Bookstein, F.L.1
  • 7
    • 79551562584 scopus 로고    scopus 로고
    • Large displacement optical flow: Descriptor matching in variational motion estimation
    • T. Brox, and J. Malik Large displacement optical flow: descriptor matching in variational motion estimation IEEE Trans. Pattern Anal. Mach. Intell. 33 3 2011 500 513
    • (2011) IEEE Trans. Pattern Anal. Mach. Intell. , vol.33 , Issue.3 , pp. 500-513
    • Brox, T.1    Malik, J.2
  • 12
    • 77955386426 scopus 로고    scopus 로고
    • Efficient sequential correspondence selection by cosegmentation
    • J. Cech, J. Matas, and M. Perdoch Efficient sequential correspondence selection by cosegmentation IEEE Trans. Pattern Anal. Mach. Intell. 32 9 2010 1568 1581
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell. , vol.32 , Issue.9 , pp. 1568-1581
    • Cech, J.1    Matas, J.2    Perdoch, M.3
  • 13
    • 77953192794 scopus 로고    scopus 로고
    • Feature correspondence and deformable object matching via agglomerative correspondence clustering
    • M. Cho, J. Lee, J. Lee, Feature correspondence and deformable object matching via agglomerative correspondence clustering, in: IEEE International Conference on Computer Vision, 2009, pp. 1280-1287.
    • (2009) IEEE International Conference on Computer Vision , pp. 1280-1287
    • Cho, M.1    Lee, J.2    Lee, J.3
  • 17
    • 0042904903 scopus 로고    scopus 로고
    • A new point matching algorithm for non-rigid registration
    • H. Chui, and A. Rangarajan A new point matching algorithm for non-rigid registration Comput. Vis. Image Underst. 89 2-3 2003 114 141
    • (2003) Comput. Vis. Image Underst. , vol.89 , Issue.23 , pp. 114-141
    • Chui, H.1    Rangarajan, A.2
  • 19
    • 84855348351 scopus 로고    scopus 로고
    • Fast approximate energy minimization with label costs
    • A. Delong, A. Osokin, H. Isack, and Y. Boykov Fast approximate energy minimization with label costs Int. J. Comput. Vis. 96 1 2012 1 27
    • (2012) Int. J. Comput. Vis. , vol.96 , Issue.1 , pp. 1-27
    • Delong, A.1    Osokin, A.2    Isack, H.3    Boykov, Y.4
  • 22
    • 0026151642 scopus 로고
    • Parallel and deterministic algorithms from MRFs: Surface reconstruction
    • D. Geiger, and F. Girosi Parallel and deterministic algorithms from MRFs: surface reconstruction IEEE Trans. Pattern Anal. Mach. Intell. 13 5 1991 401 412
    • (1991) IEEE Trans. Pattern Anal. Mach. Intell. , vol.13 , Issue.5 , pp. 401-412
    • Geiger, D.1    Girosi, F.2
  • 28
    • 79959497055 scopus 로고    scopus 로고
    • Robust point set registration using gaussian mixture models
    • B. Jian, and B. Vemuri Robust point set registration using gaussian mixture models IEEE Trans. Pattern Anal. Mach. Intell. 33 8 2011 1633 1645
    • (2011) IEEE Trans. Pattern Anal. Mach. Intell. , vol.33 , Issue.8 , pp. 1633-1645
    • Jian, B.1    Vemuri, B.2
  • 29
    • 84868479626 scopus 로고    scopus 로고
    • Fast and scalable approximate spectral graph matching for correspondence problems
    • U. Kang, M. Hebert, and S. Park Fast and scalable approximate spectral graph matching for correspondence problems Inform. Sci. 220 0 2013 306 318
    • (2013) Inform. Sci. , vol.220 , Issue.0 , pp. 306-318
    • Kang, U.1    Hebert, M.2    Park, S.3
  • 32
    • 33745886518 scopus 로고    scopus 로고
    • A spectral technique for correspondence problems using pairwise constraints
    • M. Leordeanu, M. Hebert, A spectral technique for correspondence problems using pairwise constraints, in: IEEE International Conference on Computer Vision, vol. 2, 2005, pp. 1482-1489.
    • (2005) IEEE International Conference on Computer Vision , vol.2 , pp. 1482-1489
    • Leordeanu, M.1    Hebert, M.2
  • 33
    • 74549174770 scopus 로고    scopus 로고
    • Rejecting mismatches by correspondence function
    • X. Li, and Z. Hu Rejecting mismatches by correspondence function Int. J. Comput. Vis. 89 1 2010 1 17
    • (2010) Int. J. Comput. Vis. , vol.89 , Issue.1 , pp. 1-17
    • Li, X.1    Hu, Z.2
  • 34
    • 84904730117 scopus 로고    scopus 로고
    • GA-SIFT: A new scale invariant feature transform for multispectral image using geometric algebra
    • Y. Li, W. Liu, X. Li, Q. Huang, and X. Li GA-SIFT: a new scale invariant feature transform for multispectral image using geometric algebra Inform. Sci. 281 0 2014 559 572
    • (2014) Inform. Sci. , vol.281 , Issue.0 , pp. 559-572
    • Li, Y.1    Liu, W.2    Li, X.3    Huang, Q.4    Li, X.5
  • 35
    • 84867850514 scopus 로고    scopus 로고
    • Robust point matching revisited: A concave optimization approach
    • W. Lian, L. Zhang, Robust point matching revisited: a concave optimization approach, in: Proc. European Conf. Computer Vision, 2012, pp. 259-272.
    • Proc. European Conf. Computer Vision , vol.2012 , pp. 259-272
    • Lian, W.1    Zhang, L.2
  • 39
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe Distinctive image features from scale-invariant keypoints Int. J. Comput. Vis. 60 2 2004 91 110
    • (2004) Int. J. Comput. Vis. , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 44
    • 56749170360 scopus 로고    scopus 로고
    • A linear time histogram metric for improved sift matching
    • O. Pele, M. Werman, A linear time histogram metric for improved sift matching, in: Proc. European Conf. Computer Vision, vol. 5304, 2008, pp. 495-508.
    • (2008) Proc. European Conf. Computer Vision , vol.5304 , pp. 495-508
    • Pele, O.1    Werman, M.2
  • 52
    • 9644266715 scopus 로고    scopus 로고
    • Matching widely separated views based on affine invariant regions
    • T. Tuytelaars, and L. Van Gool Matching widely separated views based on affine invariant regions Int. J. Comput. Vis. 59 1 2004 61 85
    • (2004) Int. J. Comput. Vis. , vol.59 , Issue.1 , pp. 61-85
    • Tuytelaars, T.1    Van Gool, L.2
  • 59
    • 84975857416 scopus 로고    scopus 로고
    • Binary feature from intensity quantization and weakly spatial contextual coding for image search
    • D. Zhuang, D. Zhang, J. Li, and Q. Tian Binary feature from intensity quantization and weakly spatial contextual coding for image search Inform. Sci. 0 2014
    • (2014) Inform. Sci. , Issue.0
    • Zhuang, D.1    Zhang, D.2    Li, J.3    Tian, Q.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.