Paper
22 October 2004 Optical processing of composite pattern structured light projection for high-speed depth measurement
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Abstract
Structured light pattern projection is a well known method of accurately extracting 3-Dimensional information of a scene. Traditional multi-frame structured light methods require several different patterns to recover the depth, without ambiguity and albedo sensitivity, and are corrupted by object motion during the projection/capture process. The authors have developed a methodology for combining multiple patterns into a single composite pattern by using spatial modulation techniques. A single composite pattern projection does not require synchronization with the camera so the data acquisition rate is only limited by the video rate and therefore suitable for high-speed depth measurement. However, the composite pattern is restrained by the spatial bandwidth directly related to the number of embedded patterns and the lateral resolution of the camera. Another problem is the processing requires image demodulation which is computational intensive. As part of a NASA Phase I STTR, we address the first limitation by analysis of the source of the error and post-processing the reconstruction data with dynamic programming approach. For the second problem we propose the use of a 4-f optical correlator, not as a correlator, but instead as an optical demodulator. Simulation results show reasonable depth reconstruction using our strategy for composite pattern after the post-processing.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chun Guan, Laurence G. Hassebrook, and Daniel L. Lau "Optical processing of composite pattern structured light projection for high-speed depth measurement", Proc. SPIE 5557, Optical Information Systems II, (22 October 2004); https://doi.org/10.1117/12.560260
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Cited by 6 scholarly publications.
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KEYWORDS
Composites

Cameras

Computer programming

Image processing

Eye

Modulation

Image filtering

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