IEEE Transactions on Pattern Analysis and Machine Intelligence
Experimental Evaluation of Two Criteria for Pattern Comparison and Alignment
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
A New Correlation Criterion Based on Gradient Fields Similarity
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Real-Time Tracking Using Trust-Region Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Nine Similarity Measures Used in Rigid Registration
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Fingerprint Matching Based on Global Comprehensive Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Tracking Using Foreground-Background Texture Discrimination
International Journal of Computer Vision
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A mathematical model of blob matching is developed in this paper. Based on the model, the matching performance of Bhattacharyya coefficient is analyzed and evaluated. The numerical critical conditions of biased matching and mistaken matching for Bhattacharyya coefficient are given. According to the model analysis, a modified version of Bhattacharyya coefficient is proposed, which improves the matching performance relative to the original one. The numerical analysis based on the new model and visual experiments both demonstrate the superior performance of the modified Bhattacharyya coefficient.