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	A Robust Feature Detection Method for an Infrared Single-Shot Structured Light System
	Chu Shi; Jianyang Feng; Suming Tang; Zhan Song
	2018
会议日期	2018
会议地点	马尔代夫
英文摘要	This paper introduces a robust feature detection method based on an infrared structured light system (SLS). Subject to the absorption of infrared light by human face, the projected grid-pattern is difficult to be extracted directly. In the proposed image preprocessing stage, two nonlinear filters are firstly applied and their subtraction is calculated. Then, a local adaptive threshold filtering procedure is implemented to boost the contrast around grid-lines and to suppress the image background. Based on the enhanced structured light image, a cross filter is applied to extract candidate grid-points. Finally, a symmetry-based feature detector is introduced to localize the grid-points precisely. Real human face is used in the experiments. And results show that, most of the grid-points can be accurately detected and 3D model of human face can be successfully retrieved via single projection of an infrared grid-line structured light pattern.
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/13817]
专题	深圳先进技术研究院_集成所
推荐引用方式 GB/T 7714	Chu Shi,Jianyang Feng,Suming Tang,et al. A Robust Feature Detection Method for an Infrared Single-Shot Structured Light System[C]. 见:. 马尔代夫. 2018.

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