ASM Resources

Showing items tagged with "ASM"

ASM (Active Shape Model) is an example of a multi-resolution method developed by Cootes and Taylor. The core concept involves training ASM models using manually annotated image contours. During training, Principal Component Analysis (PCA) is applied to identify the model's principal variations, enabling automatic recognition of plausible object contours. The ASM model incorporates a covariance matrix to describe vertical texture variations at landmark points when positioned correctly.

MATLAB 188 views Tagged

ASM (Active Shape Model), Principal Component Analysis (PCA), and deformable models implementation. Using hand deformation as an example, this study includes 18 hand shapes with 72 landmarks each, performing Procrustes alignment followed by PCA analysis for statistical shape modeling.

MATLAB 229 views Tagged

ASM-based facial recognition program including training module, developed by Ghassan Hamarneh. Features Active Shape Model implementation for facial landmark detection and pattern recognition algorithms.

MATLAB 249 views Tagged

A foreign-developed MATLAB toolbox integrating Active Shape Models (ASM) and Active Appearance Models (AAM), requiring path configuration via addpath function. Verified functional with robust implementations for statistical shape modeling and texture analysis.

MATLAB 203 views Tagged