Build your own 3D scanner: optical triangulation for beginners
ACM SIGGRAPH ASIA 2009 Courses
Build your own 3D scanner: 3D photography for beginners
ACM SIGGRAPH 2009 Courses
Optical signal processing with illumination-encoded filters
Computer Vision and Image Understanding
Semi-variational registration of range images by non-rigid deformations
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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This paper presents a new system for acquiring complete 3D surface models using a single structured light projec- tor, a pair of planar mirrors, and one or more synchronized cameras. We project structured light patterns that illumi- nate the object from all sides (not just the side of the pro- jector) and are able to observe the object from several van- tage points simultaneously. This system requires that pro- jected planes of light be parallel, and so we construct an orthographic projector using a Fresnel lens and a commer- cial DLP projector. A single Gray code sequence is used to encode a set of vertically-spaced light planes within the scanning volume, and five views of the illuminated object are obtained from a single image of the planar mirrors lo- cated behind it. Using each real and virtual camera, we then recover a dense 3D point cloud spanning the entire object surface using traditional structured light algorithms. As we demonstrate, this configuration overcomes a major hurdle to achieving full 360 degree reconstructions using a single structured light sequence by eliminating the need for merging multiple scans or multiplexing several projectors.