Using Generative Models for Handwritten Digit Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
MARCO: MAp Retrieval by COntent
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Algorithm for Error-Tolerant Subgraph Isomorphism Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable template models: a review
Signal Processing - Special issue on deformable models and techniques for image and signal processing
Architectural symbol recognition using a network of constraints
Pattern Recognition Letters
Symbol Recognition by Error-Tolerant Subgraph Matching between Region Adjacency Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Graphic Symbol Recognition: An Overview
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
Experimental Evaluation of a Trainable Scribble Recognizer for Calligraphic Interfaces
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
An Error-Correction Graph Grammar to Recognize Texture Symbols
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Learning of Structural Descriptions of Graphic Symbols Using Deformable Template Matching
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Online Recognition of Sketched Electrical Diagrams
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating 3D building models from architectural drawings: a survey
IEEE Computer Graphics and Applications - Special issue title on generating 3D building models a VR playground for teaching math
Robust shape retrieval through a novel statistical descriptor
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Symbol recognition using spatial relations
Pattern Recognition Letters
Spatio-structural symbol description with statistical feature add-on
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Spectra of shape contexts: An application to symbol recognition
Pattern Recognition
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We describe a general framework for the recognition of distorted images of lineal shapes, which relies on three items: a model to represent lineal shapes and their deformations, a model for the generation of distorted binary images and the combination of both models in a common probabilistic framework, where the generation of deformations is related to an internal energy, and the generation of binary images to an external energy. Then, recognition consists in the minimization of a global energy function, performed by using the EM algorithm. This general framework has been applied to the recognition of hand-drawn lineal symbols in graphic documents.