Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Partial Shape Recognition Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Application of Affine-Invariant Fourier Descriptors to Recognition of 3-D Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
A physically based approach to 2–D shape blending
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Local Invariants For Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active shape models—their training and application
Computer Vision and Image Understanding
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Similarity Measure Based on Correspondence of Visual Parts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Processing of Line-Drawing Images
ACM Computing Surveys (CSUR)
Introduction to Algorithms
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
Shock-Based Indexing into Large Shape Databases
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Chance Probability Functions for Shape Retrieval or Classification
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 6 - Volume 06
Statistical Shape Analysis: Clustering, Learning, and Testing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robustness of Shape Descriptors to Incomplete Contour Representations
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
Shape Representation and Classification Using the Poisson Equation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Recognition and Retrieval Using String of Symbols
ICMLA '06 Proceedings of the 5th International Conference on Machine Learning and Applications
A vision system for recognizing objects in complex real images
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Attributed String Matching with Merging for Shape Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape categorization using string kernels
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Unsupervised clustering of shapes
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
IEEE Transactions on Signal Processing
Wavelet descriptor of planar curves: theory and applications
IEEE Transactions on Image Processing
Two-dimensional object recognition through two-stage string matching
IEEE Transactions on Image Processing
Distance sets for shape filters and shape recognition
IEEE Transactions on Image Processing
Shape representation and recognition through morphological curvature scale spaces
IEEE Transactions on Image Processing
MPEG-7 visual shape descriptors
IEEE Transactions on Circuits and Systems for Video Technology
Motion trajectory reproduction from generalized signature description
Pattern Recognition
Weighted symbols-based edit distance for string-structured image classification
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
A novel contour descriptor for 2D shape matching and its application to image retrieval
Image and Vision Computing
Using diagonals of orthogonal projection matrices for affine invariant contour matching
Image and Vision Computing
Shape matching and classification using height functions
Pattern Recognition Letters
Local phase quantization descriptor for improving shape retrieval/classification
Pattern Recognition Letters
Perceptually motivated shape context which uses shape interiors
Pattern Recognition
Multi-feature structure fusion of contours for unsupervised shape classification
Pattern Recognition Letters
Shape retrieval and recognition based on fuzzy histogram
Journal of Visual Communication and Image Representation
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A new method for shape recognition and retrieval is proposed here. The suggested algorithm is based on several steps. The algorithm analyzes the contour of pairs of shapes. Their contours are recovered and represented by a pair of N points obtained by linear interpolation. Given two points p"i and q"j from the two shapes the cost of their matching is evaluated by using the shape context and by using dynamic programming the best matching between the point sets is obtained. Dynamic programming not only recovers the best matching, but also identifies occlusions, i.e. points in the two shapes which cannot be properly matched. Given the correspondence between the two point sets, the two contours are aligned using Procrustes analysis. After alignment, each contour is transformed into a string of symbols and a modified version of edit distance is used to compute the similarity between strings of symbols. Finally, recognition and retrieval are obtained by a simple nearest-neighbor procedure. The algorithm has been tested on a large set of shape databases (Kimia, MPEG-7, natural silhouette database, gesture database, marine database, swedish leaf database, diatom database, ETH-80 3D object database) providing performances for both in recognition and in retrieval superior to most of previously proposed approaches.