Video repairing under variable illumination using cyclic motions
| Autor: | Yu-Wing Tai, Tai-Pang Wu, Jiaya Jia, Chi-Keung Tang |
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| Rok vydání: | 2006 |
| Předmět: |
Computer science
Video Recording ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Information Storage and Retrieval Luminance Pattern Recognition Automated Photometry Motion Artificial Intelligence Oscillometry Motion estimation Image Interpretation Computer-Assisted Photography Computer vision Segmentation Lighting Image restoration ComputingMethodologies_COMPUTERGRAPHICS Pixel Color image business.industry Applied Mathematics Image segmentation Image Enhancement Computational Theory and Mathematics Subtraction Technique Computer Vision and Pattern Recognition Artificial intelligence business Algorithms Software |
| Zdroj: | IEEE Transactions on Pattern Analysis and Machine Intelligence. 28:832-839 |
| ISSN: | 0162-8828 |
| DOI: | 10.1109/tpami.2006.108 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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