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9 August 2018 Enhanced light field depth estimation for complex occlusion scenes
Ying Jia, Weihai Li
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Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080669 (2018) https://doi.org/10.1117/12.2503005
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
Abstract
Depth estimation is always a hot topic in computer vision, which shows new vitality with the rise of light field camera. Nevertheless, occlusion is a tough problem, which degrades the precision of the acquired depth map. Although previous works have proposed some effective methods to solve this problem, regrettably they are deficient. In this paper, we extend previous single occlusion model into complex occlusion condition, adopt optical flow algorithm to get candidate occlusion points, combine multiple features to separate the angular patch, and employ more reasonable data cost to get the depth map. Because the proposed algorithm is more suitable for light field data, experimental results show that the proposed algorithm has a better performance than state-of-the-art algorithms on synthetic datasets and real world images captured by light field camera, especially for complex occlusion scenes.
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Ying Jia and Weihai Li "Enhanced light field depth estimation for complex occlusion scenes", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080669 (9 August 2018); https://doi.org/10.1117/12.2503005
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KEYWORDS
Optical flow
Cameras
Computer vision technology
Data modeling
Machine vision
Feature extraction
Imaging systems
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