Disparity prediction between adjacent frames for dynamic scenes

	Disparity prediction between adjacent frames for dynamic scenes
	Jun Jiang; Jun Cheng; Baowen Chen; Xinyu Wu
刊名	NEUROCOMPUTING
	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
内容类型	期刊论文
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).