DocumentCode :
2603665
Title :
Closed-form solutions for physically-based shape modeling and recognition
Author :
Sclaroff, Stan ; Pentland, Alex
Author_Institution :
Media Lab., MIT, Cambridge, MA, USA
fYear :
1991
fDate :
3-6 Jun 1991
Firstpage :
238
Lastpage :
243
Abstract :
An efficient, physically based solution for recovering a 3-D solid model from collections of 3-D surface measurements is presented. Given a sufficient number of independent measurements, the solution is overconstrained and unique except for rotational symmetries. A physically based object recognition method that allows simple, closed-form comparisons of recovered 3-D solid models is given. The performance of these methods is evaluated using both synthetic and real laser rangefinder data
Keywords :
computerised pattern recognition; solid modelling; 3-D solid model; 3-D surface measurements; closed-form comparisons; closed-form solutions; physically based object recognition; physically-based shape modeling; real laser rangefinder data; rotational symmetries; shape recognition; synthetic range finder data; Databases; Deformable models; Equations; Face recognition; Finite element methods; Object recognition; Predictive models; Shape; Solid modeling; Surface fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
ISSN :
1063-6919
Print_ISBN :
0-8186-2148-6
Type :
conf
DOI :
10.1109/CVPR.1991.139695
Filename :
139695
Link To Document :
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