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Depth estimation based on Adaptive Support-Weight and SIFT for multi-lenslet cameras
Gao, Yuan1,2,3; Liu, Wenjin2,3; Yang, Ping2; Xu, Bing2; Gao, Y. (gaoyuan.22111@yahoo.com.cn)
Volume8419
Pages84190C
2012
Language英语
ISSN0277786X
DOI10.1117/12.975694
Indexed ByEi
Subtype会议论文
AbstractWith a multi-lenslet camera, we can capture multiple low resolution subimages of the same scene and use them to reconstruct a high resolution image. The spatially variant shifts estimation between subimages is one of major problems. In this paper, a depth estimation algorithm has been proposed for multi-lenslet cameras. The stereo matching between the reference subimage and other subimages using segmentation-based Adaptive Support-Weight approach combined with Scale Invariant Feature Transform (SIFT) is introduced, which has an influence on the result of stereo matching. Then, disparity maps are converted to depth maps and these depth maps are merged into one map for quality improvement. At last, the average blending images at difference depth are calculated according to the depth map. The experimental results show that the proposed algorithm can extract accurate depth more concisely and efficiently. © 2012 SPIE.; With a multi-lenslet camera, we can capture multiple low resolution subimages of the same scene and use them to reconstruct a high resolution image. The spatially variant shifts estimation between subimages is one of major problems. In this paper, a depth estimation algorithm has been proposed for multi-lenslet cameras. The stereo matching between the reference subimage and other subimages using segmentation-based Adaptive Support-Weight approach combined with Scale Invariant Feature Transform (SIFT) is introduced, which has an influence on the result of stereo matching. Then, disparity maps are converted to depth maps and these depth maps are merged into one map for quality improvement. At last, the average blending images at difference depth are calculated according to the depth map. The experimental results show that the proposed algorithm can extract accurate depth more concisely and efficiently. © 2012 SPIE.
Conference NameProceedings of SPIE: 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy
Conference Date2012
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7787
Collection自适应光学技术研究室(八室)
Corresponding AuthorGao, Y. (gaoyuan.22111@yahoo.com.cn)
Affiliation1. Laboratory on Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
2. Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, China
3. Graduate School of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Gao, Yuan,Liu, Wenjin,Yang, Ping,et al. Depth estimation based on Adaptive Support-Weight and SIFT for multi-lenslet cameras[C],2012:84190C.
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