Video repairing under variable illumination using cyclic motions

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This paper presents a complete system capable of synthesizing a large number of pixels that are missing due to occlusion or damage in an uncalibrated input video. These missing pixels may correspond to the static background or cyclic motions of the captured scene. Our system employs user-assisted video layer segmentation, while the main processing in video repair is fully automatic. The input video is first decomposed into the color and illumination videos. The necessary temporal consistency is maintained by tensor voting in the spatio-temporal domain. Missing colors and illumination of the background are synthesized by applying image repairing. Finally, the occluded motions are inferred by spatio-temporal alignment of collected samples at multiple scales. We experimented on our system with some difficult examples with variable illumination, where the capturing camera can be stationary or in motion.
Publisher
IEEE COMPUTER SOC
Issue Date
2006-05
Language
English
Article Type
Article
Keywords

IMAGE; INFERENCE; ALIGNMENT

Citation

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.28, no.5, pp.832 - 839

ISSN
0162-8828
URI
http://hdl.handle.net/10203/24805
Appears in Collection
EE-Journal Papers(저널논문)
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