DocumentCode :
1048532
Title :
Recovery of parametric models from range images: the case for superquadrics with global deformations
Author :
Solina, Franc ; Bajcsy, Ruzena
Author_Institution :
Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA
Volume :
12
Issue :
2
fYear :
1990
fDate :
2/1/1990 12:00:00 AM
Firstpage :
131
Lastpage :
147
Abstract :
A method for recovery of compact volumetric models for shape representation of single-part objects in computer vision is introduced. The models are superquadrics with parametric deformations (bending, tapering, and cavity deformation). The input for the model recovery is three-dimensional range points. Model recovery is formulated as a least-squares minimization of a cost function for all range points belonging to a single part. During an iterative gradient descent minimization process, all model parameters are adjusted simultaneously, recovery position, orientation, size, and shape of the model, such that most of the given range points lie close to the model´s surface. A specific solution among several acceptable solutions, where are all minima in the parameter space, can be reached by constraining the search to a part of the parameter space. The many shallow local minima in the parameter space are avoided as a solution by using a stochastic technique during minimization. Results using real range data show that the recovered models are stable and that the recovery procedure is fast
Keywords :
computer vision; iterative methods; minimisation; picture processing; computer vision; global deformations; least-squares minimization; parameter space; parametric deformations; parametric models recovery; picture processing; range images; shape representation; superquadrics; Computer aided software engineering; Computer vision; Cost function; Deformable models; Humans; Military computing; Parametric statistics; Rough surfaces; Shape; Surface roughness;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.44401
Filename :
44401
Link To Document :
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