Title :
3D part segmentation using simulated electrical charge distributions
Author :
Wu, Kenong ; Levine, Martin D.
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
A novel approach to 3D part segmentation is presented. Beginning with range data of a 3D object, we simulate the charge density distribution over an object´s surface which has been tessellated by a triangular mesh. We then locate the object part boundary at deep surface concavities by tracing local charge density minima. Finally, we decompose the object into parts at the part boundary points
Keywords :
computer vision; graph theory; image segmentation; mesh generation; object recognition; stereo image processing; 3D object; 3D part segmentation; charge density minima tracing; computer vision; direct connection graph; object recognition; simulated electrical charge distributions; surface concavities; triangular mesh; Computer vision; Conductors; Electrostatics; Image segmentation; Integral equations; Noise reduction; Noise shaping; Physics computing; Read only memory; Shape measurement;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.545983
