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Robustly estimating changes in image appearance




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): Perceiving Systems
Bibtex Type: Article (article)
Paper Type: Journal

DOI: 10.1006/cviu.1999.0825

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  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}