Face detection with Active Shape Models (ASMs)

Versión 2.0.1.1 (14 MB) por John W. Miller
Use active shape models from Cootes et al. to locate faces (or other objects) in images.
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Actualizado 30 ago 2018
Ver licencia en GitHub

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

Citar como

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

Compatibilidad con la versión de MATLAB
Se creó con R2013b
Compatible con cualquier versión
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Versión Publicado Notas de la versión
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)."

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.