Face detection with Active Shape Models (ASMs)

Version 2.0.1.1 (14.6 MB) by John W. Miller
Use active shape models from Cootes et al. to locate faces (or other objects) in images.
5.0
(4)
1.6K Downloads
Updated 13 May 2024
View License on 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

Cite As

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

MATLAB Release Compatibility
Created with R2013b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
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)."

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.