Three-dimensional shape measurement using color random binary encoding pattern projection

Pei Zhou; Jiangping Zhu; Xianyu Su; Hailong Jing; Xing Zhang

doi:10.1117/1.OE.56.10.104102

10 October 2017 Three-dimensional shape measurement using color random binary encoding pattern projection

Pei Zhou, Jiangping Zhu, Xianyu Su, Hailong Jing, Xing Zhang

Author Affiliations +

Funded by: National Major Instrument Special Fund, National Key Scientific Apparatus Development Project, Chinese Poster-Doctoral Special Fund, Chinese Poster-Doctoral Science Fund, Chengdu University of Information Technology, Full-Time Postdoctoral Research and Development Funds

Optical Engineering, Vol. 56, Issue 10, 104102 (October 2017). https://doi.org/10.1117/1.OE.56.10.104102

Abstract

Acquiring the three-dimensional (3-D) surface geometry of objects with a full-frame resolution is of great concern in many applications. This paper reports a 3-D measurement scheme based on single-frame pattern projection in the combination of random binary encoding and color encoding. Three random binary encoding patterns generated by a computer embedded in three channels of a color pattern lead to a color binary encoding pattern. Two color cameras with a stereo-vision arrangement simultaneously capture the measured scene under the proposed encoding structured illumination. From captured images, three encoding images are extracted and analyzed using the extended spatial–temporal correlation algorithm for 3-D reconstruction. Theoretical explanation and analysis concerning the encoding principle and reconstruction algorithm, followed by experiments for reconstructing 3-D geometry of stationary and dynamic scenes show the feasibility and practicality of the proposed method.

Citation Download Citation

Pei Zhou, Jiangping Zhu, Xianyu Su, Hailong Jing, and Xing Zhang "Three-dimensional shape measurement using color random binary encoding pattern projection," Optical Engineering 56(10), 104102 (10 October 2017). https://doi.org/10.1117/1.OE.56.10.104102

Received: 10 June 2017; Accepted: 19 September 2017; Published: 10 October 2017

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