Active Shape Model Face Segmentation Code Implementation
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My Active Shape Model face segmentation code implements a shape-based algorithmic approach for segmenting facial images. The core algorithm focuses on building statistical models from facial datasets containing similar shape characteristics, then utilizes these models to detect and segment new facial images. My implementation includes optimization techniques to enhance both accuracy and computational efficiency. Key features include Principal Component Analysis (PCA) for shape parameterization, landmark point initialization using Procrustes analysis, and iterative refinement through gray-level profile matching. The code structure incorporates modular design with separate components for model training, landmark localization, and convergence validation.
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