High-speed stereo matching algorithm for ultra-high resolution binocular image
文献类型：会议论文
| 作者 | Zhao, Shuying2; Hua CS(华春生)1 ; Sui, Xin2; Xu, Baopeng2
|
| 出版日期 | 2018 |
| 会议日期 | November 16-18, 2018 |
| 会议地点 | Shenyang, China |
| 关键词 | Ultra high resolution Stereo matching algorithm Image pyramid, high efficiency Binocular stereo vision |
| 页码 | 87-90 |
| 英文摘要 | This paper proposes a high-speed stereo matching algorithm (HSSM) for ultra-high resolution binocular images. By distinguishing the distances of objects in the acquired images, the size of the left and right images is determined. For example, for nearby objects, the binocular camera collects the left and right images that have large parallaxes and contain so many pixels, which consumes large resources in the process of matching. Therefore, a smaller size image is used to match close-range objects in the proposed algorithm. On the contrary, large-size images are used to match distant objects to ensure the matching accuracy of distant objects, and finally the result of hierarchical matching. Combine and get a disparity map of the left and right images captured by the binocular camera. This kind of matching method similar to image pyramid has been verified by our large number of comparative experiments. Compared with the previous binocular stereo matching algorithm, the binocular stereo matching ultra-high resolution image can be greatly guaranteed under the premise of ensuring accuracy. It reduces the time consumption in the matching process and is highly efficient. |
| 产权排序 | 2 |
| 会议录 | Proceedings of 2018 IEEE International Conference on Automation, Electronics and Electrical Engineering, AUTEEE 2018
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-5386-7860-2 |
| 源URL | [http://ir.sia.cn/handle/173321/24939]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Xu, Baopeng |
| 作者单位 | 1.Chinese Academy of Science State Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China 2.Northeastern University, College of Information Science and Engineering, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Zhao, Shuying,Hua CS,Sui, Xin,et al. High-speed stereo matching algorithm for ultra-high resolution binocular image[C]. 见:. Shenyang, China. November 16-18, 2018. |
入库方式： OAI收割
来源：沈阳自动化研究所
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