Monocular and Stereo Methods for AAM Learning from Video
The active appearance model (AAM) is a powerful method for modeling deformable visual objects. One of the major drawbacks of the AAM is that it requires a training set of pseudo-dense correspondences over the whole database. In this work, we investigate the utility of stereo constraints for automatic model building from video. First, we propose a new method for automatic correspondence finding in monocular images which is based on an adaptive template tracking paradigm. We then extend this...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR 2007)|
|01_Saragih_Monocular_and_Stereo_Methods_2007.pdf||466 kB||Adobe PDF||Request a copy|
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