Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
WARP: Accurate Retrieval of Shapes Using Phase of Fourier Descriptors and Time Warping Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification of Contour Shapes Using Class Segment Sets
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust symbolic representation for shape recognition and retrieval
Pattern Recognition
A Pixel-level Statistical Structural Descriptor for Shape Measure and Recognition
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Unsupervised feature selection for multi-cluster data
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Variational shape matching for shape classification and retrieval
Pattern Recognition Letters
A novel contour descriptor for 2D shape matching and its application to image retrieval
Image and Vision Computing
Learning context-sensitive similarity by shortest path propagation
Pattern Recognition
Shape matching and classification using height functions
Pattern Recognition Letters
Beyond pairwise shape similarity analysis
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Wavelet-Based Approach to Character Skeleton
IEEE Transactions on Image Processing
Revisiting Complex Moments for 2-D Shape Representation and Image Normalization
IEEE Transactions on Image Processing
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Nonlinear distortion, especially structure distortion, is one of the main reasons for the poor performance of shape contour classification. The structure fusion of multiple features provides a new solution for the structure distortion. How is this structure fusion performed? To answer the question, in this letter, the multi-feature of a contour is defined. Second, the structure of each feature is measured by similarity. Then, the fusion structure is obtained using the algebraic operation of the respective structure, the specific form of which is deduced based on locality-preserving projection (LPP). Finally, the combined feature is mapped into the new structure-fusion feature in terms of the fusion structure. The experiment demonstrates that this structure fusion method is superior to other state-of-the-art methods that address geometrical transformations and nonlinear distortion for classification in Kimia or MPEG-7 datasets.