Calibration of a Structured Light Measurement System Using Binary Shape Coding
文献类型：会议论文
| 作者 | Hai Zeng; Suming Tang; Zhan Song; Feifei Gu; Ziyu Huang |
| 出版日期 | 2017 |
| 会议地点 | 中国深圳 |
| 英文摘要 | In this paper, a calibration method for structured light system is proposed, which is based on pseudo-random coding theory to generate binary shape-coded pattern. In this method, the checkerboard and binary shape-coded pat-terns are captured by the camera of the structured light system method. Based on the geometric feature of binary shape-coded pattern, a feature point detector is designed. Then, the feature points in the binary geometric image are extracted, and the topological structure is constructed. After that, the pattern elements are extracted with the affine transformation theory and bilinear interpolation algorithm. The identification of pattern elements is modeled as a supervised classification problem, and the convolutional neural network technique is adopted to recognize the pattern elements by collecting a large number of training samples. Thus, the code-words of the feature points are confirmed. According to the projective transformation principle, the correspondence between the camera image plane and projector image plane is determined. Then, the corner points in the camera image plane are transformed into the projector image plane with the correspondence. Thereby the camera and projector are calibrated with Zhang’s calibration method, and the system calibration is achieved. The experimental results show that the calibration accuracy can reach about 0.2 pixels with the proposed method and the quality of reconstructed surface is great. |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/11863]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2017 |
| 推荐引用方式 GB/T 7714 | Hai Zeng,Suming Tang,Zhan Song,et al. Calibration of a Structured Light Measurement System Using Binary Shape Coding[C]. 见:. 中国深圳. |
入库方式： OAI收割
来源：深圳先进技术研究院
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