Robustly estimating changes in image appearance
2000
Article
ps
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 presence of shadows and specular reflections.
Author(s): | Black, M. J. and Fleet, D. J. and Yacoob, Y. |
Journal: | Computer Vision and Image Understanding |
Volume: | 78 |
Number (issue): | 1 |
Pages: | 8-31 |
Year: | 2000 |
Department(s): | Perzeptive Systeme |
Bibtex Type: | Article (article) |
Paper Type: | Journal |
DOI: | 10.1006/cviu.1999.0825 |
Links: |
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BibTex @article{Black:CVIU:2000, title = {Robustly estimating changes in image appearance}, author = {Black, M. J. and Fleet, D. J. and Yacoob, Y.}, journal = {Computer Vision and Image Understanding}, volume = {78}, number = {1}, pages = {8-31}, year = {2000}, doi = {10.1006/cviu.1999.0825} } |