Efficient Search And Verification for Function Based Classification From Real Range Images
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Efficient Search and Verification for Function Based Classification from Real Range Images.
In ICPR, 2006
Online Version
A pdf version is available for download.
Abstract
In this work we propose a probabilistic model for generic object classification from raw range images. Our approach supports a validation process in which classes are verified using a functional class graph in which functional parts and their realization hypotheses are explored. The validation tree is efficiently searched. Some functional requirements are validated in a final procedure for more efficient separation of objects from non-objects. The search employs a knowledge repository mechanism that monotonically adds knowledge during the search and speeds up the classification process. Finally, we describe our implementation and present results of experiments on a database that comprises about one-hundred-and-fifty real raw range images of object instances from ten classes.
Co-authors
Bibtex Entry
@inproceedings{ShimshoniRS06i,
title = {Efficient Search and Verification for Function Based Classification from Real Range Images},
author = {Ilan Shimshoni and Ehud Rivlin and Octavian Soldea},
year = {2006},
booktitle = {ICPR},
abstract = {In this work we propose a probabilistic model for generic object classification from raw range images. Our approach supports a validation process in which classes are verified using a functional class graph in which functional parts and their realization hypotheses are explored. The validation tree is efficiently searched. Some functional requirements are validated in a final procedure for more efficient separation of objects from non-objects. The search employs a knowledge repository mechanism that monotonically adds knowledge during the search and speeds up the classification process. Finally, we describe our implementation and present results of experiments on a database that comprises about one-hundred-and-fifty real raw range images of object instances from ten classes.}
}