Face Detection-Based Implementation Tool
Development Tool Utilizing Face Detection Technology
Explore MATLAB source code curated for "工具" with clean implementations, documentation, and examples.
Development Tool Utilizing Face Detection Technology
The Kalman Filter Development Kit (MATLAB Version) contains numerous well-crafted functions and utilities with powerful capabilities, making it an excellent resource for researchers working on filtering algorithms. The toolkit implements essential Kalman filtering operations including state prediction, measurement update, covariance matrix handling, and noise parameter configuration.
The ORL Face Database is a valuable resource for face recognition tasks, containing 400 images from 40 subjects with 10 images per person - suitable for implementing recognition algorithms using techniques like PCA, LDA, or deep learning approaches.
MATLAB blind source separation is a highly useful tool that serves as an excellent assistant for signal separation tasks, featuring robust algorithms and built-in functions for effective implementation.
This compressed archive contains the MATLAB toolbox source code for implementing Particle Swarm Optimization (PSO) algorithms, featuring swarm intelligence-based optimization techniques for mathematical and engineering problems.
MATLAB-based implementation for NURBS surface modeling with code examples and technical references
SeismicLab serves as an indispensable open-source software toolkit for seismology researchers, featuring extensive functionalities for seismic data analysis, processing algorithms, and customizable plugin architecture.