Depth estimation based on Adaptive Support-Weight and SIFT for multi-lenslet cameras
文献类型：会议论文
| 作者 | Gao, Yuan1,2,3; Liu, Wenjin2,3; Yang, Ping2; Xu, Bing2 |
| 出版日期 | 2012 |
| 会议名称 | Proceedings of SPIE: 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy |
| 会议日期 | 2012 |
| 卷号 | 8419 |
| 页码 | 84190C |
| 通讯作者 | Gao, Y. (gaoyuan.22111@yahoo.com.cn) |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 语种 | 英语 |
| ISSN号 | 0277786X |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/7787]  |
| 专题 | 光电技术研究所_自适应光学技术研究室（八室） |
| 作者单位 | 1.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 |
| 推荐引用方式 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]. 见:Proceedings of SPIE: 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy. 2012. |
入库方式： OAI收割
来源：光电技术研究所
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