Yy. Cai et al., GEOMETRIC FEATURE DETECTION FOR REVERSE ENGINEERING USING RANGE IMAGING, Journal of visual communication and image representation, 7(3), 1996, pp. 205-216
The use of range imaging has been gaining popularity in reverse engine
ering. One challenging task is the detection of feature information fr
om range images. In this paper, an approach to detect geometric featur
es from range images using a fuzzy partitioning theory and geometric i
nvariants is developed. Based on the fuzzy C-shell clustering techniqu
e, quadric features are partitioned into primitive clusters. Instead o
f performing sequential model fittings, general quadric surfaces as ob
ject shells are fitted concurrently, The geometric representations of
prototypes are generated during the above process of pattern classific
ations. The integration of the partition with the invariant analysis m
akes it possible to detect geometric features from depth maps for the
development of reverse engineering. (C) 1996 Academic Press, Inc.