메뉴 건너뛰기




Volumn , Issue , 2012, Pages 151-158

Fan shape model for object detection

Author keywords

[No Author keywords available]

Indexed keywords

ADJACENCY RELATIONS; EDGE IMAGE; EDGE PIXELS; OBJECT DETECTION; REFERENCE POINTS; SAMPLE POINT; SCALE ESTIMATION; SHAPE DEFORMATION; SHAPE MODEL;

EID: 84866681606     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247670     Document Type: Conference Paper
Times cited : (37)

References (25)
  • 1
    • 77953186257 scopus 로고    scopus 로고
    • Active skeleton for non-rigid object detection
    • 2, 3
    • X. Bai, X. Wang, L. J. Latecki, W. Liu, and Z. Tu. Active skeleton for non-rigid object detection. ICCV, 2009. 2, 3
    • (2009) ICCV
    • Bai, X.1    Wang, X.2    Latecki, L.J.3    Liu, W.4    Tu, Z.5
  • 5
    • 24644514946 scopus 로고    scopus 로고
    • Spatial priors for part-based recognition using statistical models
    • 2
    • D. Crandall, P. Felzenszwalb, and D. Huttenlocher. Spatial priors for part-based recognition using statistical models. In CVPR, pages 10-17, 2005. 2
    • (2005) CVPR , pp. 10-17
    • Crandall, D.1    Felzenszwalb, P.2    Huttenlocher, D.3
  • 6
    • 33745831956 scopus 로고    scopus 로고
    • Weakly supervised learning of part-based spatial models for visual object recognition
    • 2
    • D. J. Crandall and D. P. Huttenlocher. Weakly supervised learning of part-based spatial models for visual object recognition. In ECCV, pages 16-29, 2006. 2
    • (2006) ECCV , pp. 16-29
    • Crandall, D.J.1    Huttenlocher, D.P.2
  • 8
    • 51949101231 scopus 로고    scopus 로고
    • A discriminatively trained, multiscale, deformable part model
    • 6, 7
    • P. Felzenszwalb, D. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. CVPR, 2008. 6, 7
    • (2008) CVPR
    • Felzenszwalb, P.1    McAllester, D.2    Ramanan, D.3
  • 11
    • 34948832159 scopus 로고    scopus 로고
    • Object detection by contour segment networks
    • 1, 2, 4, 5
    • V. Ferrari, T. Tuytelaars, and L. V. Gool. Object detection by contour segment networks. ECCV, 2006. 1, 2, 4, 5
    • (2006) ECCV
    • Ferrari, V.1    Tuytelaars, T.2    Gool, L.V.3
  • 14
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • 4
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int Journal of Computer Vision, 2004. 4
    • (2004) Int Journal of Computer Vision
    • Lowe, D.G.1
  • 15
    • 77953197515 scopus 로고    scopus 로고
    • Shape guided contour grouping with particle filters
    • 1, 2, 6, 7
    • C. Lu, L. J. Latecki, N. Adluru, X. Yang, and H. Ling. Shape guided contour grouping with particle filters. ICCV, 2009. 1, 2, 6, 7
    • (2009) ICCV
    • Lu, C.1    Latecki, L.J.2    Adluru, N.3    Yang, X.4    Ling, H.5
  • 16
    • 80052874531 scopus 로고    scopus 로고
    • From partial shape matching through local deformation to robust global shape similarity for object detection
    • june, 2
    • T. Ma and L. Latecki. From partial shape matching through local deformation to robust global shape similarity for object detection. In CVPR, pages 1441 -1448, june 2011. 2
    • (2011) CVPR , pp. 1441-1448
    • Ma, T.1    Latecki, L.2
  • 17
    • 77955996607 scopus 로고    scopus 로고
    • A max-margin hough tranform for object detection
    • 6, 7
    • S. Maji and J. Malik. A max-margin hough tranform for object detection. CVPR, 2009. 6, 7
    • (2009) CVPR
    • Maji, S.1    Malik, J.2
  • 18
    • 3042525106 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using local brightness, color, and texture cues
    • May. 1, 2
    • D. Martin, C. Fowlkes, and J. Malik. Learning to detect natural image boundaries using local brightness, color, and texture cues. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 26(5):530 -549, May 2004. 1, 2
    • (2004) Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.26 , Issue.5 , pp. 530-549
    • Martin, D.1    Fowlkes, C.2    Malik, J.3
  • 19
    • 33845593841 scopus 로고    scopus 로고
    • A boundary-fragment model for object detection
    • 2
    • A. Opelt, A. Pinz, and A. Zisserman. A boundary-fragment model for object detection. ECCV, 2006. 2
    • (2006) ECCV
    • Opelt, A.1    Pinz, A.2    Zisserman, A.3
  • 20
    • 84874061440 scopus 로고    scopus 로고
    • Using partial edge contour matches for efficient object category localization
    • 6, 7
    • H. Riemenschneider, M. Donoser, and H. Bischof. Using partial edge contour matches for efficient object category localization. ECCV, 2010. 6, 7
    • (2010) ECCV
    • Riemenschneider, H.1    Donoser, M.2    Bischof, H.3
  • 22
    • 77955993922 scopus 로고    scopus 로고
    • Many-to-one contour matching for describing and discriminating object shape
    • 1, 2, 5, 6, 7
    • P. Srinivasan, Q. Zhu, and J. Shi. Many-to-one contour matching for describing and discriminating object shape. CVPR, 2010. 1, 2, 5, 6, 7
    • (2010) CVPR
    • Srinivasan, P.1    Zhu, Q.2    Shi, J.3
  • 23
    • 84898899967 scopus 로고    scopus 로고
    • Category-specific object recognition and segmentation using a skeletal shape model
    • 3
    • N. H. Trinh and B. B. Kimia. Category-specific object recognition and segmentation using a skeletal shape model. BMVC, 2009. 3
    • (2009) BMVC
    • Trinh, N.H.1    Kimia, B.B.2
  • 24
    • 80052905405 scopus 로고    scopus 로고
    • Discriminative image warping with attribute flow
    • june, 2
    • W. Zhang, P. Srinivasan, and J. Shi. Discriminative image warping with attribute flow. In CVPR, pages 2393 -2400, june 2011. 2
    • (2011) CVPR , pp. 2393-2400
    • Zhang, W.1    Srinivasan, P.2    Shi, J.3
  • 25
    • 61449119118 scopus 로고    scopus 로고
    • Contour context selection for object detection: A set-to-set contour matching approach
    • 1, 2, 6, 7
    • Q. Zhu, L. Wang, Y. Wu, and J. Shi. Contour context selection for object detection: A set-to-set contour matching approach. ECCV, 2008. 1, 2, 6, 7
    • (2008) ECCV
    • Zhu, Q.1    Wang, L.2    Wu, Y.3    Shi, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.