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	A Unified Probabilistic Graphical Model based Approach for the Robust Decoding of Color Structured Light Pattern
	Yang, Chao; Liu, Fang; Song, Zhan
	2014
会议名称	ICIST 2014 - Proceedings of 2014 4th IEEE International Conference on Information Science and Technology
会议地点	中国
英文摘要	Color coding is an important research topic in spatial encoded structured light sensing (SLS). In this study, we propose a novel graphical model based approach for the color pattern decoding task. For efficient color labeling, the color pattern is firstly decomposed into separate binary pattern images. With the labeled pattern elements, a unified probabilistic graphical framework is constructed to represent the pseudorandom pattern as a clique tree structure. The model contains two parts: the Conditional Random Field (CRF) is used to represent the dependences between these local decisions, and the Bayesian network (BN) is applied for the representation of background colors effect. A colorful target is experimented to demonstrate its feasibility. And the 3D reconstructed models based on the decoding results are also provided to show its robustness.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5624]
专题	深圳先进技术研究院_集成所
作者单位	2014
推荐引用方式 GB/T 7714	Yang, Chao,Liu, Fang,Song, Zhan. A Unified Probabilistic Graphical Model based Approach for the Robust Decoding of Color Structured Light Pattern[C]. 见:ICIST 2014 - Proceedings of 2014 4th IEEE International Conference on Information Science and Technology. 中国.

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