Real-Time Subpixel Fast Bilateral Stereo
文献类型：会议论文
| 作者 | Rui Fan; Yanan Liu; Mohammud Junaid Bocus; Lujia Wang; Ming Liu |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 英文摘要 | Stereo vision technique has been widely used in robotic systems to acquire 3-D information. In recent years, many researchers have applied bilateral filtering in stereo vision to adaptively aggregate the matching costs. This has greatly improved the accuracy of the estimated disparity maps. However, the process of filtering the whole cost volume is very time consuming and therefore the researchers have to resort to some powerful hardware for the real-time purpose. This paper presents the implementation of fast bilateral stereo on a state- of-the-art GPU. By highly exploiting the parallel computing architecture of the GPU, the fast bilateral stereo performs in real time when processing the Middlebury stereo datasets. |
| 语种 | 英语 |
| URL标识 | 查看原文 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14125]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 推荐引用方式 GB/T 7714 | Rui Fan,Yanan Liu,Mohammud Junaid Bocus,et al. Real-Time Subpixel Fast Bilateral Stereo[C]. 见:. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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