DocumentCode :
2552494
Title :
3D part segmentation: a new physics-based approach
Author :
Wu, Kenong ; Levine, Martin D.
Author_Institution :
Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
fYear :
1995
fDate :
21-23 Nov 1995
Firstpage :
311
Lastpage :
316
Abstract :
We propose a novel approach to 3D part segmentation. From physics it is known that on the surface of a charged conductor, charge tends to accumulate at a sharp convexity and vanishes at a sharp concavity. Thus object part boundaries, which are usually denoted by a sharp surface concavity, can be detected by locating surface points exhibiting focal charge minima. Beginning with multiview range data of a 3D object, we simulate the electrical charge distribution over an object´s surface which has been tessellated by a triangular mesh. We detect the deep surface concavities by tracing local charge density minima and then decompose the object into parts at these points
Keywords :
image segmentation; object recognition; 3D part segmentation; charged conductor; electrical charge distribution; object part boundaries; physics-based approach; sharp concavity; sharp convexity; surface points location; Computer vision; Conductors; Data structures; Image segmentation; Object detection; Physics; Quantization; Robustness; Shape; Space charge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1995. Proceedings., International Symposium on
Conference_Location :
Coral Gables, FL
Print_ISBN :
0-8186-7190-4
Type :
conf
DOI :
10.1109/ISCV.1995.477020
Filename :
477020
Link To Document :
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