Multispectral Interest Points for RGN-NIR Image Registration

D Firmenich; Matthew Brown; S Susstrunk

Multispectral Interest Points for RGN-NIR Image Registration

D Firmenich, Matthew Brown, S Susstrunk

Department of Computer Science

Research output: Contribution to conference › Paper

Abstract

This paper explores the use of joint colour and near-infrared (NIR) information for feature based matching and image registration. In particular, we investigate multispectral generalisations of two popular interest point detectors (Harris and difference of Gaussians), and show that these give a marked improvement in performance when the extra NIR channel is available. We also look at the problem of multimodal RGB to NIR registration, and propose a variant of the SIFT descriptor that gives improved performance.

Original language	English
Publication status	Published - Sep 2011
Event	ICIP 2011: IEEE International Conference on Image Processing - Brussels Duration: 11 Sep 2011 → 14 Sep 2011

Conference

Conference	ICIP 2011: IEEE International Conference on Image Processing
City	Brussels
Period	11/09/11 → 14/09/11

Access to Document

http://www.icip2011.org/

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Cite this

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title = "Multispectral Interest Points for RGN-NIR Image Registration",

abstract = "This paper explores the use of joint colour and near-infrared (NIR) information for feature based matching and image registration. In particular, we investigate multispectral generalisations of two popular interest point detectors (Harris and difference of Gaussians), and show that these give a marked improvement in performance when the extra NIR channel is available. We also look at the problem of multimodal RGB to NIR registration, and propose a variant of the SIFT descriptor that gives improved performance.",

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AU - Susstrunk, S

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AB - This paper explores the use of joint colour and near-infrared (NIR) information for feature based matching and image registration. In particular, we investigate multispectral generalisations of two popular interest point detectors (Harris and difference of Gaussians), and show that these give a marked improvement in performance when the extra NIR channel is available. We also look at the problem of multimodal RGB to NIR registration, and propose a variant of the SIFT descriptor that gives improved performance.

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Y2 - 11 September 2011 through 14 September 2011

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