Abstract
In this paper we have presented some geometric techniques to characterize and parametrize surfaces of industrial parts in range images. The surfaces are characterized to one of plane, sphere, cylinder and cone, because they form the majority of object surfaces in man-made industrial parts. The problem has been studied for two different situations. In the first case,a priori knowledge about the surface shape is assumed. In such a situation the problem of surface characterization reduces to that of surface parameter estimation. The standard deviations of the estimated parameters give a measure of uncertainty of characterizing a surface patch to one of the four surface types. In the second case, noa priori information regarding the shape of a surface is available. This includes partially visible surfaces also. To deal with such a situation, a fuzzy classifier is designed using the uncertainty values. The fuzzy classifier classifies the unknown surface patch (including partially visible surfaces) to one of the four surface types. Experimental results with synthetic range images are presented to highlight the distinctive features of our technique.
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References
Besl P J, Jain R C 1984 Surface characterization for three dimensional object recognition. RSD-TR-20-84, Electrical Eng. and Computer Science Dept. University of Michigan, Ann Arbor, Michigan
Besl P J, Jain R C 1988 Segmentation through variable order surface fitting.IEEE Trans. Pattern Anal. Mach. Intell. 10: 167–192
Biswas P K, Mukherjee J, Chatterji B N 1990 Segmentation of range images.Proc. Workshop on Signal Processing, Communications and Networking, Indian Inst. Sci., Bangalore, 123–130
Bolle R M, Cooper D B 1984 Bayesian recognition of local 3-D shape by approximating image intensity functions with quadric polynomials.IEEE Trans. Pattern Anal. Mach. Intell. 6: 418–429
Brady M, Ponce J, Yuille A, Asada H 1985 Describing surfaces.Comput. Vision Graph. Image Process. 32: 1–28
Faugeras O D 1984 New steps toward a flexible 3-D vision system for robotics.Int. Conf. on Pattern Recognition 2: 796–805
Han J H, Volz R A, Mudge T H 1987 Range image segmentation and surface parameter extraction for 3-D object recognition of industrial parts.Proc. IEEE Int. Conf. on Robotics and Automation 1: 380–386
Lin X, Wee W G 1985 Shape detection using range data.IEEE Int. Conf. on Robotics and Automation pp. 34–39
Muller Y, Mohr R 1984 Planes and quadrics detection using Hough transform.7th Int. Conf. on Pattern Recognition pp 1101–1103
Shanti Narayan 1985Analytical solid geometry (New Delhi: S Chand)
Taylor R W, Savini M, Reeves A P 1989 Fast segmentation of range imagery into planar regions.Comput. Vision Graph. Image Process. 45: 42–60
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Jagdish, S., Kumar Biswas, P., Mukherjee, J. et al. Surface characterization and parameter estimation for industrial vision system. Sadhana 20, 759–780 (1995). https://doi.org/10.1007/BF02744409
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DOI: https://doi.org/10.1007/BF02744409