中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Robust pattern decoding in shape-coded structured light.

文献类型:期刊论文

作者Tang, Suming; Zhang, Xu; Song, Zhan; Song, Lifang; Zeng, Hai
刊名OPTICS AND LASERS IN ENGINEERING
出版日期2017
文献子类期刊论文
英文摘要Decoding is a challenging and complex problem in a coded structured light system. In this paper, a robust pattern decoding method is proposed for the shape-coded structured light in which the pattern is designed as grid shape with embedded geometrical shapes. In our decoding method, advancements are made at three steps. First, a multi-template feature detection algorithm is introduced to detect the feature point which is the intersection of each two orthogonal grid-lines. Second, pattern element identification is modelled as a supervised classification problem and the deep neural network technique is applied for the accurate classification of pattern elements. Before that, a training dataset is established, which contains a mass of pattern elements with various blurring and distortions. Third, an error correction mechanism based on epipolar constraint, coplanarity constraint and topological constraint is presented to reduce the false matches. In the experiments, several complex objects including human hand are chosen to test the accuracy and robustness of the proposed method. The experimental results show that our decoding method not only has high decoding accuracy, but also owns strong robustness to surface color and complex textures.
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/11713]  
专题深圳先进技术研究院_集成所
作者单位OPTICS AND LASERS IN ENGINEERING
推荐引用方式
GB/T 7714
Tang, Suming,Zhang, Xu,Song, Zhan,et al. Robust pattern decoding in shape-coded structured light.[J]. OPTICS AND LASERS IN ENGINEERING,2017.
APA Tang, Suming,Zhang, Xu,Song, Zhan,Song, Lifang,&Zeng, Hai.(2017).Robust pattern decoding in shape-coded structured light..OPTICS AND LASERS IN ENGINEERING.
MLA Tang, Suming,et al."Robust pattern decoding in shape-coded structured light.".OPTICS AND LASERS IN ENGINEERING (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。