Shape matching and object recognition using low distortion correspondences
暂无分享,去创建一个
[1] D'arcy W. Thompson. On growth and form i , 1943 .
[2] Martin A. Fischler,et al. The Representation and Matching of Pictorial Structures , 1973, IEEE Transactions on Computers.
[3] D. Burr,et al. Feature detection in human vision: a phase-dependent energy model , 1988, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[4] Yehezkel Lamdan,et al. Affine invariant model-based object recognition , 1990, IEEE Trans. Robotics Autom..
[5] Jitendra Malik,et al. Detecting and localizing edges composed of steps, peaks and roofs , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[6] Ulf Grenander,et al. Hands: A Pattern Theoretic Study of Biological Shapes , 1990 .
[7] J. Thompson,et al. MOVPE growth for the fabrication of OEICs , 1992 .
[8] Joachim M. Buhmann,et al. Distortion Invariant Object Recognition in the Dynamic Link Architecture , 1993, IEEE Trans. Computers.
[9] Daniel P. Huttenlocher,et al. Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Michael C. Burl,et al. Finding faces in cluttered scenes using random labeled graph matching , 1995, Proceedings of IEEE International Conference on Computer Vision.
[11] Cordelia Schmid,et al. Local Grayvalue Invariants for Image Retrieval , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Yali Amit,et al. Joint Induction of Shape Features and Tree Classifiers , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Dariu Gavrila,et al. Real-time object detection for "smart" vehicles , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[14] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[15] Takeo Kanade,et al. A statistical method for 3D object detection applied to faces and cars , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[16] Jitendra Malik,et al. Shape contexts enable efficient retrieval of similar shapes , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[17] Serge J. Belongie,et al. Matching shapes , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[18] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[19] Jitendra Malik,et al. Geometric blur for template matching , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[20] Krystian Mikolajczyk,et al. Detection of local features invariant to affines transformations , 2002 .
[21] Michel Vidal-Naquet,et al. Visual features of intermediate complexity and their use in classification , 2002, Nature Neuroscience.
[22] Cordelia Schmid,et al. 3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[23] Pietro Perona,et al. Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[24] Anand Rangarajan,et al. A new point matching algorithm for non-rigid registration , 2003, Comput. Vis. Image Underst..
[25] João Paulo Costeira,et al. A Global Solution to Sparse Correspondence Problems , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[26] Shimon Ullman,et al. Object recognition with informative features and linear classification , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[27] Pietro Perona,et al. A Bayesian approach to unsupervised one-shot learning of object categories , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[28] Jitendra Malik,et al. Learning to detect natural image boundaries using local brightness, color, and texture cues , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[30] Antonio Torralba,et al. Sharing features: efficient boosting procedures for multiclass object detection , 2004, CVPR 2004.
[31] Henry Schneiderman,et al. Feature-centric evaluation for efficient cascaded object detection , 2004, CVPR 2004.
[32] Tamara L. Berg,et al. Names and faces in the news , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[33] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[34] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[35] Cordelia Schmid,et al. A Performance Evaluation of Local Descriptors , 2005, IEEE Trans. Pattern Anal. Mach. Intell..