Sensors 2012, 12(9), 12661-12672; doi:10.3390/s120912661
Article

Multispectral Image Feature Points

1 Department of Electrical and Electronics Engineering, Collao 1202, University of Bío-Bío, 4051381 Concepción, Chile 2 Computer Vision Center, Edifici O, Campus UAB, 08193 Bellaterra, Barcelona, Spain 3 Computer Science Department, Edifici O, Campus UAB, 08193 Bellaterra, Barcelona, Spain
* Author to whom correspondence should be addressed.
Received: 6 July 2012; in revised form: 24 August 2012 / Accepted: 30 August 2012 / Published: 17 September 2012
(This article belongs to the Section Physical Sensors)
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Abstract: This paper presents a novel feature point descriptor for the multispectral image case: Far-Infrared and Visible Spectrum images. It allows matching interest points on images of the same scene but acquired in different spectral bands. Initially, points of interest are detected on both images through a SIFT-like based scale space representation. Then, these points are characterized using an Edge Oriented Histogram (EOH) descriptor. Finally, points of interest from multispectral images are matched by finding nearest couples using the information from the descriptor. The provided experimental results and comparisons with similar methods show both the validity of the proposed approach as well as the improvements it offers with respect to the current state-of-the-art.
Keywords: multispectral image descriptor; color and infrared images; feature point descriptor

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MDPI and ACS Style

Aguilera, C.; Barrera, F.; Lumbreras, F.; Sappa, A.D.; Toledo, R. Multispectral Image Feature Points. Sensors 2012, 12, 12661-12672.

AMA Style

Aguilera C, Barrera F, Lumbreras F, Sappa AD, Toledo R. Multispectral Image Feature Points. Sensors. 2012; 12(9):12661-12672.

Chicago/Turabian Style

Aguilera, Cristhian; Barrera, Fernando; Lumbreras, Felipe; Sappa, Angel D.; Toledo, Ricardo. 2012. "Multispectral Image Feature Points." Sensors 12, no. 9: 12661-12672.

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