Face detection with Active Shape Models (ASMs)

Use active shape models from Cootes et al. to locate faces (or other objects) in images.
1,6K téléchargements
Mise à jour 13 mai 2024

Run the Example_FindFace.m script for a walk-through of how to use the code. The repository contains a shape model and a gray-level model trained on images from the data set listed below, as well as a single example face. The repository includes code for manually labeling new images and training new shape and gray-level models, meaning it can be used for more than face detection if trained properly. I'd be happy for any feedback you may have. Enjoy!
Version 2.0 supports the MUCT landmark arrangement:
http://www.milbo.org/muct/

The simple landmark arrangement with I labeled is still supported. The faces I used for manual labeling are available here:
http://robotics.csie.ncku.edu.tw/Databases/FaceDetect_PoseEstimate.htm#Our_Database_

If you have a question or suggestion for the project, please open an Issue on GitHub. I will be much more likely to see your question there.
https://github.com/johnwmillr/ActiveShapeModels/issues

Citation pour cette source

John W. Miller (2024). Face detection with Active Shape Models (ASMs) (https://github.com/johnwmillr/ActiveShapeModels), GitHub. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2013b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux

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Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées

Version Publié le Notes de version
2.0.1.1

Added a note about opening Issues on GitHub.

2.0.1.0

Updated description. MUCT landmarks now supported.

2.0.0.0

Version 2.0 supports the MUCT landmark arrangement.

1.0.0.0

Changed title to "Face detection with Active Shape Models (ASMs)."

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.