Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
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
Local Invariants For Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Representation and recognition in vision
Representation and recognition in vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
A vector space model for automatic indexing
Communications of the ACM
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
The Influence of the gamma-Parameter on Feature Detection with Automatic Scale Selection
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
Text classification using string kernels
The Journal of Machine Learning Research
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
Robust symbolic representation for shape recognition and retrieval
Pattern Recognition
Robust symbolic representation for shape recognition and retrieval
Pattern Recognition
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
Shape recognition based on Kernel-edit distance
Computer Vision and Image Understanding
Outline matching of the 2d shapes using extracting XML data
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Shape classification by manifold learning in multiple observation spaces
Information Sciences: an International Journal
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In this paper, a novel algorithm for shape categorization is proposed. This method is based on the detection of perceptual landmarks, which are scale invariant. These landmarks and the parts between them are transformed into a symbolic representation. Shapes are mapped into symbol sequences and a database of shapes is mapped into a set of symbol sequences and therefore it is possible to use support vector machines for categorization. The method here proposed has been evaluated on silhouettes database and achieved the highest recognition result reported with a score of 97.85% for the MPEG-7 shape database.