Title :
Uncertainty in interpretation of range imagery
Author :
Chelberg, David M.
Author_Institution :
Dept. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
A description is given of a method for automatically deriving a Bayesian probability network from CAD based 3D models. This network may be used to match 3D objects to features derived from range images in the presence of uncertainty. The network describes how evidence for subparts of an object should be combined to calculate the evidence for an object. A prototype model based range interpretation system using this method is also presented. Sample results for an object are presented. For this prototype system, sources of evidence include maximum likelihood estimate fits of circular cylinders, planes, and spheres, as well as boundary data (i.e. edges)
Keywords :
Bayes methods; computerised pattern recognition; distance measurement; Bayesian probability network; CAD based 3D models; boundary data; circular cylinders; edges; feature extraction; maximum likelihood estimate; planes; range imagery; range interpretation; spheres; uncertainty; Assembly; Bayesian methods; Computer networks; Image segmentation; Intelligent networks; Solid modeling; Uncertainty;
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
DOI :
10.1109/ICCV.1990.139612
