Li Zhang, Brian Curless, and Steven M. Seitz
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Abstract
This paper presents a color structured light technique for recovering object shape from one or more images. The technique works by projecting a pattern of stripes of alternating colors and matching the projected color transitions with observed edges in the image. The correspondence problem is solved using a novel, multi-pass dynamic programming algorithm that eliminates global smoothness assumptions and strict ordering constraints present in previous formulations. The resulting approach is suitable for generating both high-speed scans of moving objects when projecting a single stripe pattern and high-resolution scans of static scenes using a short sequence of time-shifted stripe patterns. In the latter case, spacetime analysis is used at each sensor pixel to obtain inter-frame depth localization. Results are demonstrated for a variety of complex scenes.
Citation (bibtex)
Li Zhang, Brian Curless, and Steven M. Seitz. Rapid Shape Acquisition Using
Color Structured Light and Multi-pass Dynamic Programming. In Proceedings of
the 1st International Symposium on 3D Data Processing, Visualization, and
Transmission (3DPVT), Padova, Italy, June 19-21, 2002, pp. 24-36. [paper: PDF(8.3M)]
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