Disparity prediction between adjacent frames for dynamic scenes
文献类型：期刊论文
| 作者 | Jun Jiang; Jun Cheng; Baowen Chen; Xinyu Wu |
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2014 |
| 英文摘要 | Real-time stereo matching in image sequences is important in video monitoring, robotic navigation and intelligent vehicle, etc. Spatiotemporal stereo and scene flow can be used to produce temporally coherent disparity of dynamic scenes. However, most methods do not use the previous disparity map sufficiently to compute the current one. Thus, the disparity range limits the speed of disparity computation for each stereo pair. This paper integrates the temporal information into the stereo computation, and presents the relationship between consecutive disparity maps, which makes the disparity prediction reasonable. The scheme can produce a sequence of temporally coherent disparity maps rapidly. The tests performed on simulated and real stereo sequences confirm the validity of our approach |
| 收录类别 | SCI |
| 原文出处 | http://www.sciencedirect.com/science/article/pii/S0925231214006122 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5413]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | NEUROCOMPUTING |
| 推荐引用方式 GB/T 7714 | Jun Jiang,Jun Cheng,Baowen Chen,et al. Disparity prediction between adjacent frames for dynamic scenes[J]. NEUROCOMPUTING,2014. |
| APA | Jun Jiang,Jun Cheng,Baowen Chen,&Xinyu Wu.(2014).Disparity prediction between adjacent frames for dynamic scenes.NEUROCOMPUTING. |
| MLA | Jun Jiang,et al."Disparity prediction between adjacent frames for dynamic scenes".NEUROCOMPUTING (2014). |
入库方式： OAI收割
来源：深圳先进技术研究院
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