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2016 | OriginalPaper | Buchkapitel

View-Based 3D Objects Recognition with Expectation Propagation Learning

verfasst von : Adrien Bertrand, Faisal R. Al-Osaimi, Nizar Bouguila

Erschienen in: Advances in Visual Computing

Verlag: Springer International Publishing

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Abstract

In this paper, we develop an expectation propagation learning framework for the inverted Dirichlet (ID) and Dirichlet mixture models. The main goal is to implement an algorithm to recognize 3D objects. Those objects are in our case from a view-based 3D models database that we have assembled. Following specific rules determined by analyzing the results of our tests, we have been able to get promising recognition rates. Experimental results are presented with different object classes by comparing recognition rates and confidence levels according to different tuning parameters.

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Metadaten
Titel
View-Based 3D Objects Recognition with Expectation Propagation Learning
verfasst von
Adrien Bertrand
Faisal R. Al-Osaimi
Nizar Bouguila
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-50832-0_35