A Novel 2D Contour Description Generalized Curvature Scale Space

Here, we intend to propose a 2D contour descriptor that we call Generalized Curvature Scale Space (GCSS) based on the iso-curvature levels, and the curvature scale space (CSS) descriptor. We start by computing the curvature in different scales and extract the points which have the same curvature values as the maximums in each scale. Each CSS image is represented by a set of key points. The Dynamic Time Warping (DTW) similarity measure is used. We reach a significant rate in image recognition using two data sets (HMM GPD and MPEG7 CE Shape-1 Part-B set).

[1]  Mário A. T. Figueiredo,et al.  Similarity-based classification of sequences using hidden Markov models , 2004, Pattern Recognit..

[2]  Alireza Khotanzad,et al.  Invariant Image Recognition by Zernike Moments , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Xiaojun Wu,et al.  A novel contour descriptor for 2D shape matching and its application to image retrieval , 2011, Image Vis. Comput..

[4]  Faouzi Ghorbel Towards a unitary formulation for invariant image description: application to image coding , 1998, Ann. des Télécommunications.

[5]  Cun Lu Xu,et al.  Rolling penetrate descriptor for shape-based image retrieval and object recognition , 2009, Pattern Recognit. Lett..

[6]  Anuj Srivastava,et al.  Analysis of planar shapes using geodesic paths on shape spaces , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Josef Kittler,et al.  Robust and Efficient Shape Indexing through Curvature Scale Space , 1996, BMVC.

[8]  King-Sun Fu,et al.  Shape Discrimination Using Fourier Descriptors , 1977, IEEE Trans. Syst. Man Cybern..

[9]  Donald D. Hoffman,et al.  Parts of recognition , 1984, Cognition.

[10]  David Sankoff,et al.  Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison , 1983 .

[11]  Stefano Soatto,et al.  Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[12]  Kaleem Siddiqi,et al.  Parts of Visual Form: Computational Aspects , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Xiaoou Tang,et al.  2D Shape Matching by Contour Flexibility , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  P. Wintz,et al.  An efficient three-dimensional aircraft recognition algorithm using normalized fourier descriptors , 1980 .

[15]  Ninad Thakoor,et al.  Hidden Markov Model-Based Weighted Likelihood Discriminant for 2-D Shape Classification , 2007, IEEE Transactions on Image Processing.

[16]  Ulrich Eckhardt,et al.  Shape descriptors for non-rigid shapes with a single closed contour , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).