Title :
3D part segmentation using simulated electrical charge distributions
Author :
Wu, Kenong ; Levine, Martin D.
Author_Institution :
Integrated Surgical Syst., Sacramento, CA, USA
fDate :
11/1/1997 12:00:00 AM
Abstract :
A novel approach to 3D part segmentation is presented. It is a well-known physical fact that electrical charge on the surface of a conductor tends to accumulate at a sharp convexity and vanish at a sharp concavity. Thus, object part boundaries, which are usually denoted by a sharp surface concavity, can be detected by simulating the electrical charge density over the object surface and locating surface points which exhibit local charge density minima. Beginning with single- or multiview 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 detect the deep surface concavities by tracing local charge density minima and then decompose the object into parts at these points. The charge density computation does not require an assumption on surface smoothness and uses weighted global data to produce robust local surface features for part segmentation
Keywords :
electric charge; image segmentation; 3D part segmentation; charge density distribution; local charge density minima; multiview range data; object part boundaries; robust local surface features; simulated electrical charge distributions; triangular mesh; Computational modeling; Computer vision; Conductors; Finite element methods; Helium; Object detection; Object recognition; Object segmentation; Robustness; Shape measurement;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on