A Robust Feature Detection Method for an Infrared Single-Shot Structured Light System
文献类型：会议论文
| 作者 | Chu Shi; Jianyang Feng; Suming Tang; Zhan Song |
| 出版日期 | 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. |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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