Recognizing objects with multiple configurations
暂无分享,去创建一个
[1] Hamid Soltanian-Zadeh,et al. Automatic landmark extraction from image data using modified growing neural gas network , 2003, IEEE Transactions on Information Technology in Biomedicine.
[2] A. Yuille. Deformable Templates for Face Recognition , 1991, Journal of Cognitive Neuroscience.
[3] K. Mardia,et al. ‘Shape, Procrustes tangent projections and bilateral symmetry’ , 2001 .
[4] W. S. Chan,et al. Approximation of Polygonal Curves with Minimum Number of Line Segments , 1992, ISAAC.
[5] Haim J. Wolfson,et al. Articulated object recognition, or: how to generalize the generalized Hough transform , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[6] Masanori Idesawa,et al. Recognition of multiple configurations of objects with limited data , 2010, Pattern Recognit..
[7] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[8] Luigi Cinque,et al. Decomposition of two-dimensional shapes for efficient retrieval , 2009, Image Vis. Comput..
[9] M. Kilian,et al. Geometric modeling in shape space , 2007, SIGGRAPH 2007.
[10] X. Zhang,et al. Object representation and recognition in shape spaces , 2003, Pattern Recognit..
[11] Jitendra Malik,et al. Shape matching and object recognition using low distortion correspondences , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[12] Haim J. Wolfson,et al. Generalizing the generalized hough transform , 1991, Pattern Recognit. Lett..
[13] Amit K. Roy-Chowdhury,et al. A measure of deformability of shapes, with applications to human motion analysis , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[14] T. K. Carne,et al. Shape and Shape Theory , 1999 .
[15] Te-Hsiu Sun,et al. Invariant 2D object recognition using eigenvalues of covariance matrices, re-sampling and autocorrelation , 2008, Expert Syst. Appl..
[16] Donald D. Hoffman,et al. Parts of recognition , 1984, Cognition.
[17] Innchyn Her,et al. Homomorphic graph matching of articulated objects by an integrated recognition scheme , 2006, Expert Syst. Appl..
[18] I. Dryden,et al. Shape curves and geodesic modelling , 2010 .
[19] D. Kendall. MORPHOMETRIC TOOLS FOR LANDMARK DATA: GEOMETRY AND BIOLOGY , 1994 .
[20] Farzin Mokhtarian,et al. Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Patrick Shen-Pei Wang. 3D Articulated Object Understanding, Learning, and Recognition from 2D Images , 2000, Int. J. Pattern Recognit. Artif. Intell..
[22] Alexander Kolesnikov,et al. Polygonal approximation of closed discrete curves , 2007, Pattern Recognit..
[23] M. Iri,et al. Polygonal Approximations of a Curve — Formulations and Algorithms , 1988 .
[24] I. Dryden,et al. Shape-space smoothing splines for planar landmark data , 2007 .
[25] S. Vadlamani. On the Diffusion of Shape , 2007 .
[26] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] W. S. Chan,et al. Approximation of Polygonal Curves with Minimum Number of Line Segments or Minimum error , 1996, Int. J. Comput. Geom. Appl..
[28] Joachim M. Buhmann,et al. Learning the Compositional Nature of Visual Object Categories for Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Jun Zhang,et al. Invariant object recognition by shape space analysis , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[30] Nikolaos G. Bourbakis,et al. 3-D Object Recognition Using 2-D Views , 2008, IEEE Transactions on Image Processing.
[31] Jing Li,et al. Subspace learning-based dimensionality reduction in building recognition , 2009, Neurocomputing.
[32] Fred L. Bookstein,et al. Landmark methods for forms without landmarks: morphometrics of group differences in outline shape , 1997, Medical Image Anal..
[33] David G. Kendall,et al. Shape & Shape Theory , 1999 .
[34] D. Kendall. SHAPE MANIFOLDS, PROCRUSTEAN METRICS, AND COMPLEX PROJECTIVE SPACES , 1984 .
[35] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[36] C. Small. The statistical theory of shape , 1996 .
[37] Dezhong Hong,et al. An efficient object recognition scheme for a prototype component inspection , 1997 .
[38] F. Rohlf. Shape Statistics: Procrustes Superimpositions and Tangent Spaces , 1999 .
[39] Tong Lee,et al. Projective invariant object recognition by a Hopfield network , 2004, Neurocomputing.
[40] Zhihua Qu,et al. 2-D Shape Recognition using Recursive Landmark Determination and Fuzzy ART Network Learning , 2003, Neural Processing Letters.
[41] D Marr,et al. Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[42] Nicholas Roy,et al. Robust Models of Object Geometry , 2006 .
[43] William G. Wee,et al. Graph matching for object recognition and recovery , 2004, Pattern Recognit..
[44] Anuj Srivastava,et al. Analysis of planar shapes using geodesic paths on shape spaces , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.