Active shape models—their training and application
Computer Vision and Image Understanding
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity and Affine Invariant Distances Between 2D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching and Retrieval of Distorted and Occluded Shapes Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Adjustable Invariant Features by Partial Haar-Integration
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Shape Matching Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Procrustes Matching for Shape Retrieval
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape retrieval using triangle-area representation and dynamic space warping
Pattern Recognition
Deformation Models for Image Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust symbolic representation for shape recognition and retrieval
Pattern Recognition
Shape matching and modeling using skeletal context
Pattern Recognition
Path Similarity Skeleton Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometry-Based Image Retrieval in Binary Image Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
FCTH: Fuzzy Color and Texture Histogram - A Low Level Feature for Accurate Image Retrieval
WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
2D Shape Matching by Contour Flexibility
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human Activity Recognition Using the 4D Spatiotemporal Shape Context Descriptor
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Learning Context-Sensitive Shape Similarity by Graph Transduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving shape retrieval by spectral matching and meta similarity
IEEE Transactions on Image Processing
Balancing deformability and discriminability for shape matching
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Analyzing Ancient Maya Glyph Collections with Contextual Shape Descriptors
International Journal of Computer Vision
Beyond pairwise shape similarity analysis
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Distance sets for shape filters and shape recognition
IEEE Transactions on Image Processing
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Shape representation and shape matching are significant topics in computer and human vision. In this paper, fuzzy histogram model with a uniform fuzzy partition is introduced instead of the classical histogram model, and two fuzzy-histogram-based descriptors are proposed: fuzzy shape context (FSC) and inner-distance fuzzy shape context (IDFSC). Compared with classical-histogram-based descriptors, FSC and IDFSC provide more accurate descriptions of samples distributions in log-polar space. Based on fuzzy-histogram-based descriptors, a novel shape matching framework named locally constrained matching (LCM) is proposed for computing the dissimilarity between shapes, and the rotation invariant problem of descriptors can be properly settled. Experimental results on a variety of shape databases show that shape retrieval and recognition results can be effectively achieved by using the proposed method.