Data Structures for Efficient Dynamic Processing in 3-D
International Journal of Robotics Research
Calibration and registration for precise surface reconstruction with Time-Of-Flight cameras
International Journal of Intelligent Systems Technologies and Applications
MFC: a modular line camera for 3D world modulling
RobVis'08 Proceedings of the 2nd international conference on Robot vision
ASM: An adaptive simplification method for 3D point-based models
Computer-Aided Design
A method for fast search of variable regions on dynamic 3D point clouds
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
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Hand-guided scanners allow for digitization by manually sweeping a laser beam over an object's surface. The result highly depends on the way the user handles the system and his ability to keep track of the parts of the surface that are already scanned. Processing and visualization during data acquisition are helpful in this context. In this paper, we propose an online surface reconstruction algorithm for the visualization of the DLR scanner system data. The algorithm successively generates a triangle mesh by incrementally inserting 3D points. Point neighborhoods are used to limit the point density, to estimate the surface normal at the inserted point, and to locally re-triangulate the mesh. A dynamic data structure for fast neighborhood search without restrictions to the amount of vertices or the object size and with low complexity is introduced. Finally, results with the hand-guided scanner system are presented.