Pedestrian Detection using HOG + LBP + SVM Algorithm
Implementation of pedestrian detection combining HOG features, LBP features, and SVM classifier with code-level explanations
Explore MATLAB source code curated for "lbp" with clean implementations, documentation, and examples.
Implementation of pedestrian detection combining HOG features, LBP features, and SVM classifier with code-level explanations
An overview of spatio-temporal LBP, VLBP, and LBP-TOP descriptors with implementation approaches for computer vision applications
Five mini-applications related to LBP implementation, designed to assist researchers in this field with practical code examples and algorithm demonstrations.
Five small programs demonstrating Local Binary Pattern (LBP) implementations, covering fundamental algorithms and practical applications in image processing and computer vision.
MATLAB-based pedestrian detection system integrating HOG (Histogram of Oriented Gradients) and LBP (Local Binary Pattern) features with code implementation details
MATLAB Code Implementation for Local Binary Pattern (LBP) Feature Extraction with Enhanced Algorithmic Descriptions
Adaptive Local Binary Pattern (LBP) with Implementation Insights
Classic face recognition algorithm combining AdaBoost, KNN, and LBP with code implementation details for feature extraction and classification optimization