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Remote Sens. 2011, 3(9), 2076-2088; doi:10.3390/rs3092076

Improved Feature Detection in Fused Intensity-Range Images with Complex SIFT (ℂSIFT)

Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Kaiserstr. 12, D-76128 Karlsruhe, Germany
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Received: 1 July 2011 / Revised: 28 July 2011 / Accepted: 23 August 2011 / Published: 16 September 2011
(This article belongs to the Special Issue Terrestrial Laser Scanning)
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Abstract

The real and imaginary parts are proposed as an alternative to the usual Polar representation of complex-valued images. It is proven that the transformation from Polar to Cartesian representation contributes to decreased mutual information, and hence to greater distinctiveness. The Complex Scale-Invariant Feature Transform (ℂSIFT) detects distinctive features in complex-valued images. An evaluation method for estimating the uniformity of feature distributions in complex-valued images derived from intensity-range images is proposed. In order to experimentally evaluate the proposed methodology on intensity-range images, three different kinds of active sensing systems were used: Range Imaging, Laser Scanning, and Structured Light Projection devices (PMD CamCube 2.0, Z+F IMAGER 5003, Microsoft Kinect).
Keywords: image-based registration; SIFT; complex-valued image; mutual information; active sensor; range imaging; laser scanning; structured light projection image-based registration; SIFT; complex-valued image; mutual information; active sensor; range imaging; laser scanning; structured light projection
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Bradley, P.E.; Jutzi, B. Improved Feature Detection in Fused Intensity-Range Images with Complex SIFT (ℂSIFT). Remote Sens. 2011, 3, 2076-2088.

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