Face detection with Active Shape Models (ASMs)
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
Zitieren als
John W. Miller (2024). Face detection with Active Shape Models (ASMs) (https://github.com/johnwmillr/ActiveShapeModels), GitHub. Abgerufen.
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Object Detection Using Features >
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Inspiriert von: Active Shape Model (ASM) and Active Appearance Model (AAM)
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Version | Veröffentlicht | Versionshinweise | |
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2.0.1.1 | Added a note about opening Issues on GitHub. |
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2.0.1.0 | Updated description. MUCT landmarks now supported. |
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2.0.0.0 | Version 2.0 supports the MUCT landmark arrangement. |
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1.0.0.0 | Changed title to "Face detection with Active Shape Models (ASMs)." |