An algorithm for segmenting range imagery
R.S. Roberts
- 01 Mar 1997
TL;DR: The image segmentation algorithm developed during the FY96 Cross Cutting and Advanced Technology (CC&AT) project at Los Alamos National Laboratory can fuse multiple range images thereby providing true 3D scene models.
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Abstract: This report describes the technical accomplishments of the FY96 Cross Cutting and Advanced Technology (CC&AT) project at Los Alamos National Laboratory. The project focused on developing algorithms for segmenting range images. The image segmentation algorithm developed during the project is described here. In addition to segmenting range images, the algorithm can fuse multiple range images thereby providing true 3D scene models. The algorithm has been incorporated into the Rapid World Modelling System at Sandia National Laboratory.
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Citations
A human supervisory approach to modeling industrial scenes using geometric primitives
J.P. Luck,C. Little,R.S. Roberts +2 more
- 16 May 1998
TL;DR: The method presented in this paper combines the twomost fully manual and autonomous techniques, yielding a highly efficient, flexible, and accurate mapping tool.
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