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Authors: João Paulo Lima 1 ; Francisco Simões 1 ; Hideaki Uchiyama 2 ; Veronica Teichrieb 1 and Eric Marchand 2

Affiliations: 1 Voxar Labs, Informatics Center and Federal University of Pernambuco, Brazil ; 2 INRIA Rennes Bretagne-Atlantique, France

Keyword(s): Keypoint Matching, Pose Estimation, Computer Vision, RGB-D.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: This paper presents a method named Depth-Assisted Rectification of Patches (DARP), which exploits depth information available in RGB-D consumer devices to improve keypoint matching of perspectively distorted images. This is achieved by generating a projective rectification of a patch around the keypoint, which is normalized with respect to perspective distortions and scale. The DARP method runs in real-time and can be used with any local feature detector and descriptor. Evaluations with planar and non-planar scenes show that DARP can obtain better results than existing keypoint matching approaches in oblique poses.

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Paper citation in several formats:
Lima, J.; Simões, F.; Uchiyama, H.; Teichrieb, V. and Marchand, E. (2013). Depth-Assisted Rectification of Patches - Using RGB-D Consumer Devices to Improve Real-time Keypoint Matching. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 651-656. DOI: 10.5220/0004284406510656

@conference{visapp13,
author={João Paulo Lima. and Francisco Simões. and Hideaki Uchiyama. and Veronica Teichrieb. and Eric Marchand.},
title={Depth-Assisted Rectification of Patches - Using RGB-D Consumer Devices to Improve Real-time Keypoint Matching},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={651-656},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004284406510656},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Depth-Assisted Rectification of Patches - Using RGB-D Consumer Devices to Improve Real-time Keypoint Matching
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Lima, J.
AU - Simões, F.
AU - Uchiyama, H.
AU - Teichrieb, V.
AU - Marchand, E.
PY - 2013
SP - 651
EP - 656
DO - 10.5220/0004284406510656
PB - SciTePress

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