14 November 2007 Simple surface reconstruction algorithm with 3D points in parallel lines
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Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67892Q (2007) https://doi.org/10.1117/12.742233
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Referring to 3D measurement methods like grating projection measurement, which make 3D output data arranged in parallel lines, the topic brings forward an algorithm to reconstruct surface that represented in triangle geometry model more efficiently, easily and automatically than those for 3D scattered points do. The algorithm select pairs of matched points from every 2 neighbor lines dynamically, each point from one line. The line made up of a pair of matched points is called skeleton line. Those skeleton lines can be expected as parallel as possible. Then the 4 end points in 2 neighbor Skeleton lines can construct 1 quadrangle, also 2 good-characteristic triangles as elements of triangle geometry model. Also the method is improved to avoid surface gap problems.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xingdou Fu, Xingdou Fu, Pingjiang Wang, Pingjiang Wang, Xiaoqi Tang, Xiaoqi Tang, Jihong Chen, Jihong Chen, } "Simple surface reconstruction algorithm with 3D points in parallel lines", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67892Q (14 November 2007); doi: 10.1117/12.742233; https://doi.org/10.1117/12.742233
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