Depth map regeneration via improved graph cuts using a novel omnidirectional stereo sensor
文献类型：会议论文
| 作者 | He L(何雷) ; Luo CJ(罗川江); Zhu F(朱枫); Hao YM(郝颖明); Ou JJ(欧锦军); Zhou J(周静)
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| 出版日期 | 2007 |
| 会议名称 | 11th IEEE International Conference on Computer Vision |
| 会议日期 | October 14-21, 2007 |
| 会议地点 | Rio de Janeiro, BRAZIL |
| 页码 | 2895-2902 |
| 中文摘要 | An integrated framework mainly focusing on stereo matching has been presented in this paper to obtain dense depth maps for a mobile robot that is equipped with a novel onmidirectional stereo vision sensor that is designed to obtain height information. The vision sensor is composed of a common perspective camera and two hyperbolic mirrors, which are separately fixed inside a glass cylinder. As the separation between the two mirrors provides much enlarged baseline, the precision of the system has improved correspondingly. Nevertheless, the large disparity space and image particularities that are different from general stereo vision system result in poor performance using common methods. To satisfy the reliability requirement by mobile robot navigation, we use improved graph cuts method, in which more appropriate three-variable smootheness model is proposed for general priors corresponding to more reasonable piecewise smoothness assumption since the well-known swap move algorithm can be applied to a wider class of functions. We also show the necessary modification to handle panoramic images, including deformed matching template, adaptable template scale. Experiment shows that this proposed vision system is feasible as a practical stereo sensor for accurate depth map generation. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | IEEE |
| 会议录 | 2007 IEEE 11TH INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS 1-6
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| 会议录出版者 | IEEE |
| 会议录出版地 | NEW YORK |
| 语种 | 英语 |
| ISSN号 | 1550-5499 |
| ISBN号 | 978-1-4244-1630-1 |
| WOS记录号 | WOS:000255099302116 |
| 源URL | [http://ir.sia.cn/handle/173321/7969]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 推荐引用方式 GB/T 7714 | He L,Luo CJ,Zhu F,et al. Depth map regeneration via improved graph cuts using a novel omnidirectional stereo sensor[C]. 见:11th IEEE International Conference on Computer Vision. Rio de Janeiro, BRAZIL. October 14-21, 2007. |
入库方式： OAI收割
来源：沈阳自动化研究所
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