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Source code for training an Active Appearance Model (AAM) and fitting using the Fast Simultaneous Inverse Compositional Algorithm (Fast-SIC), described in
[1] G. Tzimiropoulos, and M. Pantic, "Optimization problems for fast AAM fitting in-the-wild," ICCV 2013
The code is based on the Inverse Compositional framework of
[2] I. Matthews and S. Baker, “Active Appearance Models Revisited,” IJCV, 60(2), pp. 135–164, 2004.
The provided code implements Fast-SIC, a fast but exact version of the Simultaneous Inverse Compositional Algorithm (SIC). You can use it to fit an AAM to unconstrained (in-the-wild) images. Please see [1] for more details.
Should you use the code, please cite [1]
Code released as is **for research purposes only**
Feel free to modify/distribute but please cite [1]
contact gtzimiropoulos@lincoln.ac.uk
Zitieren als
Georgios (Yorgos) Tzimiropoulos (2026). Active Appearance Models (AAMs) (https://de.mathworks.com/matlabcentral/fileexchange/44651-active-appearance-models-aams), MATLAB Central File Exchange. Abgerufen .
Quellenangaben
Inspiriert von: ECC image alignment algorithm (image registration)
Kategorien
Mehr zu Image Processing and Computer Vision finden Sie in Help Center und MATLAB Answers
Allgemeine Informationen
- Version 1.1.0.0 (20,7 KB)
Kompatibilität der MATLAB-Version
- Kompatibel mit allen Versionen
Plattform-Kompatibilität
- Windows
- macOS
- Linux
| Version | Veröffentlicht | Versionshinweise | Action |
|---|---|---|---|
| 1.1.0.0 | minor comment in README file |
