Animating Highly Constrained Deformable Head/Face Models Using Motion Capture
Department of Computer Science
University of Canterbury
We test the performance of our pupil detection algorithm on a 285 frame video displaying a variety of gaze directions. Our hybrid approach performs well, resulting in a very low pixel error and a reasonable frame rate. The three segmentation approaches are tested on four 1000 frame and four 100 frame videos containing inherently different movement. All approaches show excellent segmentation accuracy but illustrate the importance of understanding the limitations of each technique prior to implementation. Both pose estimation techniques are implemented and tested on objects placed in a variety of poses. Both algorithms show good approximations of pose.