LOCUS Demo
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Transcript of LOCUS Demo
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
Mask Edge Map
Every video frame is treated as a separate class instance.
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 VideoProc. IEEE Computer Vision and Pattern Recognition (CVPR), New York, 2006. To appear.