Publication | Closed Access
3D part segmentation using simulated electrical charge distributions
101
Citations
38
References
1997
Year
EngineeringPart SegmentationComputer-aided Design3D Computer VisionImage AnalysisPattern RecognitionElectrical Charge DensityComputational GeometryGeometry ProcessingGeometric ModelingCharge Density DistributionMachine VisionComputer EngineeringComputer ScienceMedical Image ComputingCharge Density Computation3D Object RecognitionComputer VisionNatural Sciences3D ReconstructionShape ModelingImage Segmentation
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.
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