LOCUS Demo
Stefan Zickler
Two “different” classes
Class “Car Side Views”
Class “Car Rears”
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.

Morphing within Class “Car Sides”
Morphing within Class “Car Rears”
Morphing within Class “Horse Sides”
LOCUS applied to a video
Every video frame is treated as a separate class instance.
Mask
Edge Map
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.

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.