Black, M.J., Fleet, D.J., and Yacoob, Y.
Robustly
estimating changes in image appearance.
Computer Vision and Image Understanding, 78(1):8-31, 2000
ABSTRACT
We propose a generalized model of image ``appearance change'' in which
brightness variation over time is represented as a probabilistic mixture of
different causes. We define four generative models of appearance change due to:
1) object or camera motion;
2) illumination phenomena;
3) specular reflections; and
4) ``iconic changes'' which are specific to the objects being viewed.
These iconic changes include complex
occlusion events and changes in the material properties of the objects.
We develop a robust statistical framework for recovering these appearance
changes in image sequences.
This approach generalizes previous work on optical flow to provide a
richer description of image events and more reliable estimates of
image motion in the presense of shadows and specular reflections.
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