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Recognition of a solid shape from its single perspective image obtained by a calibrated camera

✍ Scribed by Zygmunt Pizlo; Kirk Loubier


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
164 KB
Volume
33
Category
Article
ISSN
0031-3203

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✦ Synopsis


A new model-based method for object shape recognition is presented. This method consists in solving a set of linear equations and thus is computationally simple. We show how it leads to a hierarchy of geometrical representations of an object, involving similarity, a$ne and projective properties. Results of our tests with synthetic images illustrate that this method works reliably in the presence of large amount of image noise. Finally, we show that the method allows for speeding up the memory search for the correct model, which makes it more e$cient as compared to conventional model-based methods.