1. LOCUS Demo Stefan Zickler

2. Two “different” classes Class “Car Side Views” Class “Car Rears”

3. Morphing within a class  We can interpolate between model instance’s parameters (gradual change of the deformation field and pixel colors)  This gives us a nice morphing effect.

4. Morphing within Class “Car Sides”

5. Morphing within Class “Car Rears”

6. Morphing within Class “Horse Sides”

7. LOCUS applied to a video Mask Edge Map Every video frame is treated as a separate class instance.

8. Using motion and tracking cues  So far we have derived models by treating each image as an independent instance of our model.  When segmenting videos, we can improve results by making use of the fact that a video is a continuous model change.

9. Using motion and tracking cues N. Jojic, J. Winn and L. Zitnick Escaping Local Minima through Hierarchical Model Selection: Automatic Object Discovery, Segmentation, and Tracking in Video Proc. IEEE Computer Vision and Pattern Recognition (CVPR), New York, 2006. To appear.