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Evaluation of Features Detectors and Descriptors based on 3D objects

Moreels, Pierre and Perona, Pietro (2005) Evaluation of Features Detectors and Descriptors based on 3D objects. In: Tenth IEEE International Conference on Computer Vision (ICCV'05). Vol.1. IEEE , Piscataway, NJ, pp. 800-807. ISBN 0-7695-2334-X. https://resolver.caltech.edu/CaltechAUTHORS:20180613-155808251

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Abstract

We explore the performance of a number of popular feature detectors and descriptors in matching 3D object features across viewpoints and lighting conditions. To this end we design a method, based on intersecting epipolar constraints, for providing ground truth correspondence automatically. We collect a database of 100 objects viewed from 144 calibrated viewpoints under three different lighting conditions. We find that the combination of Hessian-affine feature finder and SIFT features is most robust to viewpoint change. Harris-affine combined with SIFT and Hessian-affine combined with shape context descriptors were best respectively for lighting changes and scale changes. We also find that no detector-descriptor combination performs well with viewpoint changes of more than 25-30°.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/ICCV.2005.89DOIArticle
http://resolver.caltech.edu/CaltechAUTHORS:20140730-101717121Related ItemJournal Article
ORCID:
AuthorORCID
Perona, Pietro0000-0002-7583-5809
Additional Information:© 2005 IEEE. The authors are grateful to Timor Kadir, Yan Ke, David Lowe, Jiri Matas and Krystian Mikolajczyk for providing part or all of their detectors and descriptors code.
DOI:10.1109/ICCV.2005.89
Record Number:CaltechAUTHORS:20180613-155808251
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180613-155808251
Official Citation:P. Moreels and P. Perona, "Evaluation of features detectors and descriptors based on 3D objects," Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005, pp. 800-807 Vol. 1. doi: 10.1109/ICCV.2005.89
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:87090
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:14 Jun 2018 17:45
Last Modified:15 Nov 2021 20:45

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