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10.1109/ICCV.2011.6126544guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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ORB: An efficient alternative to SIFT or SURF

Published: 06 November 2011 Publication History

Abstract

Feature matching is at the base of many computer vision problems, such as object recognition or structure from motion. Current methods rely on costly descriptors for detection and matching. In this paper, we propose a very fast binary descriptor based on BRIEF, called ORB, which is rotation invariant and resistant to noise. We demonstrate through experiments how ORB is at two orders of magnitude faster than SIFT, while performing as well in many situations. The efficiency is tested on several real-world applications, including object detection and patch-tracking on a smart phone.

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cover image Guide Proceedings
ICCV '11: Proceedings of the 2011 International Conference on Computer Vision
November 2011
2669 pages
ISBN:9781457711015

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IEEE Computer Society

United States

Publication History

Published: 06 November 2011

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