High level CAD model acquisition from range images:

Abstract: "Automatic extraction of CAD descriptions which are ultimately intended for human manipulation requires the accurate inference of geometric and topological information. We present a system which applies segmentation techniques from computer vision to automatically extract CAD models f...

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Bibliographic Details
Main Authors: Fitzgibbon, Andrew W. (Author), Eggert, David W. (Author), Fisher, Robert B. (Author)
Format: Book
Language:English
Published: Edinburgh 1995
Series:University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 775
Subjects:
Summary:Abstract: "Automatic extraction of CAD descriptions which are ultimately intended for human manipulation requires the accurate inference of geometric and topological information. We present a system which applies segmentation techniques from computer vision to automatically extract CAD models from range images of parts with curved surfaces. The output of the system is a B-rep of the object which is suitable for further manipulation in a modelling system. The segmentation process is an improvement upon Besl and Jain's variable-order surface fitting, extracting general quadric surfaces and planes from the data, with a postprocessing stage to identify surface intersections and to extract a B- rep from the segmented image. We present results on a variety of machined objects, which illustrate the high-level nature of the acquired models, and discuss the numerical accuracy (feature sizes and separations) and the correctness of structural inferences of the system."
Physical Description:16 S.

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