MATLAB Source Code for Interest Point Detection

This MATLAB source code implements interest point detection algorithms for action recognition tasks. Interest point detection represents a fundamental computer vision technique that identifies distinctive locations in images or video sequences where significant variations occur in intensity, texture, or color patterns. The implementation includes key functions for feature extraction and point localization, utilizing common algorithms such as Harris corner detection or FAST (Features from Accelerated Segment Test) to identify regions with high information content. The code structure comprises preprocessing modules for image enhancement, core detection algorithms with adjustable threshold parameters, and post-processing routines for point validation and filtering. By utilizing this source code, researchers can efficiently extract meaningful features from visual data, analyze motion patterns, and develop robust action recognition systems. The implementation serves as both a practical tool for immediate application and an educational resource for understanding fundamental computer vision principles, algorithm optimization techniques, and performance evaluation metrics for feature detection systems.