Research on Face Recognition Methodology
Investigation of Face Recognition Technology Combining Local Ternary Pattern Features with Distance Transform-Based Similarity Metrics
Explore MATLAB source code curated for "特征" with clean implementations, documentation, and examples.
Investigation of Face Recognition Technology Combining Local Ternary Pattern Features with Distance Transform-Based Similarity Metrics
Comprehensive GLCM resources including MATLAB code for generating co-occurrence matrices, the missing graycomatrix.m file from MATLAB 7 toolbox, and a feature extraction program that calculates over 20 texture features from GLCM. The implementation demonstrates practical approaches for texture analysis using statistical properties derived from pixel relationships.
UCI Dataset Structure - The first column contains class labels, while subsequent columns represent feature vectors
HOG3D source code for interest point detection in three-dimensional scenarios, with research papers on HOG features being readily accessible for reference
## Execution Instructions: - Run the main.m file from the project directory. - Users can define objects like robots, goals, and obstacles in this file for custom configuration. ## Requirements: - MATLAB software ## Key Features: - Single robot and target object implementation - Two predefined obstacles for collision avoidance scenarios ## Objective: - To guide a mobile robot from its starting position to the target point while avoiding obstacles along the path using potential field algorithms.