Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symbol Recognition by Error-Tolerant Subgraph Matching between Region Adjacency Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
International Journal of Computer Vision
Keyword Spotting in Poorly Printed Documents using Pseudo 2-D Hidden Markov Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Deformation Models for Image Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iconic and multi-stroke gesture recognition
Pattern Recognition
Blurred Shape Model for binary and grey-level symbol recognition
Pattern Recognition Letters
A Bayesian network for combining descriptors: application to symbol recognition
International Journal on Document Analysis and Recognition
Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Decoupled Active Contour (DAC) for Boundary Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deforming the blurred shape model for shape description and recognition
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
A Non-rigid Feature Extraction Method for Shape Recognition
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Combining attributes and Fisher vectors for efficient image retrieval
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Attributed Programmed Graph Grammars and Their Application to Schematic Diagram Interpretation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive snakes using the EM algorithm
IEEE Transactions on Image Processing
Spectra of shape contexts: An application to symbol recognition
Pattern Recognition
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In this paper we describe a framework to learn a model of shape variability in a set of patterns. The framework is based on the Active Appearance Model (AAM) and permits to combine shape deformations with appearance variability. We have used two modifications of the Blurred Shape Model (BSM) descriptor as basic shape and appearance features to learn the model. These modifications permit to overcome the rigidity of the original BSM, adapting it to the deformations of the shape to be represented. We have applied this framework to representation and classification of handwritten digits and symbols. We show that results of the proposed methodology outperform the original BSM approach.