Title :
CAD model acquisition using BSP trees
Author :
Reed, Michael ; Allen, Peter K. ; Abrams, Steven
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
Abstract :
This paper discusses an approach to automating CAD model acquisition by creating binary space partitioning (BSP) trees from laser range data. Distinct views of the object, each represented by a BSP tree, are then merged using set operations. BSP trees have proven their utility in 3D modeling, graphics and image processing, and their tree structure allows efficient algorithms to be developed that are compact and numerically robust. These properties are of primary importance when considering an intermediate representation between raw sensor data and existing CAD models
Keywords :
CAD; computer graphics; computer vision; data acquisition; image segmentation; solid modelling; tree data structures; 3D modeling; BSP trees; CAD model acquisition; binary space partitioning; computer graphics; computer vision; data structures; image processing; laser range data; segmentation; Colored noise; Data acquisition; Filters; Geometry; Graphics; Image processing; Image segmentation; Laser modes; Merging; Partitioning algorithms; Robustness; Surface fitting; Topology; Tree data structures; Tree graphs; Veins;
Conference_Titel :
Intelligent Robots and Systems 95. 'Human Robot Interaction and Cooperative Robots', Proceedings. 1995 IEEE/RSJ International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-8186-7108-4
DOI :
10.1109/IROS.1995.526238
