Frequency Domain Analysis and Synthesis of Image Pyramid Generating Kernels
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
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
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Symbol Recognition with Kernel Density Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representing shape with a spatial pyramid kernel
Proceedings of the 6th ACM international conference on Image and video retrieval
Using Random Forests for Handwritten Digit Recognition
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Logo Spotting by a Bag-of-words Approach for Document Categorization
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Pattern Classification Using Ensemble Methods
Pattern Classification Using Ensemble Methods
Scenery Character Detection with Environmental Context
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Similar Manga Retrieval Using Visual Vocabulary Based on Regions of Interest
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Circular Blurred Shape Model for Multiclass Symbol Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A New Adaptive Structural Signature for Symbol Recognition by Using a Galois Lattice as a Classifier
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Structured class-labels in random forests for semantic image labelling
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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We present a new parts-based multi-scale recognition method for graphic symbols, especially those connecting or intersecting with other elements in the context. The main idea is to decompose the symbol into the set of multi-scale local parts, some of which are not or less affected by the contextual interferences, and then recognize the symbol based on detecting and integrating individual symbol parts. An ensemble learning and classification scheme is employed, which combines three ingredients: 1) the multi-scale spatial pyramid representation of the symbol that consists of local parts for matching. 2) the random forest based classifying of symbol parts and discriminative learning of the mappings between parts and the symbol. 3) the probabilistic aggregation of individual part detections to form the symbol recognition output. The experimental results on simulation datasets show the effectiveness of the proposed method and its promising properties in handling non-segmented symbols.