DocumentCode
2577361
Title
Polyhedral object recognition using view densities
Author
Malik, Raashid
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Stevens Inst. of Technol., Hoboken, NJ, USA
fYear
1991
fDate
13-16 Oct 1991
Firstpage
111
Abstract
A method of representing the features of a polyhedral object based on probability density functions defined on observed features is presented. The measured lengths of the edges of a polyhedral object depend on the observation angle. The measured lengths of a combination of adjacent edges in an image have characteristic relationships and associated probabilities of observation. These facts are used to develop a decision scheme for identifying polyhedral objects. Results of experiments are also presented
Keywords
decision theory; pattern recognition; probability; decision scheme; pattern recognition; polyhedral object; probability density functions; view densities; Cameras; Communication systems; Data mining; Equations; Length measurement; Noise measurement; Object recognition; Probability density function; Robots; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location
Charlottesville, VA
Print_ISBN
0-7803-0233-8
Type
conf
DOI
10.1109/ICSMC.1991.169670
Filename
169670
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