Title :
Neural network-based adaptive sampling of 3D object surface elastic properties
Author :
Cretu, Ana-Maria ; Petriu, Emil M. ; Patry, Gilles G.
Author_Institution :
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
Abstract :
The paper discusses two self-organizing neural network (NN) architectures, the neural gas network and the Kohonen self-organizing map (SOM) for the adaptive sampling and the reduction of the dimensionality of the set of probing points in the measurement of the nonuniform elastic properties of 3D objects.
Keywords :
data reduction; dexterous manipulators; elasticity; image sampling; self-organising feature maps; shape measurement; stereo image processing; 3D object surface elastic properties; Kohonen self-organizing map; dimensionality reduction; neural gas network; neural network-based adaptive sampling; nonuniform elastic property measurement; probing points; self-organizing neural network architectures; Adaptive systems; Computer aided manufacturing; Elasticity; Neural networks; Organizing; Probes; Robot kinematics; Sampling methods; Shape; Solid modeling;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Print_ISBN :
0-7803-8248-X
DOI :
10.1109/IMTC.2004.1351046
