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

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

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Received: 1 July 2011; in revised form: 28 July 2011 / Accepted: 23 August 2011 / Published: 16 September 2011
(This article belongs to the Special Issue Terrestrial Laser Scanning)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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
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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.

AMA Style

Bradley PE, Jutzi B. Improved Feature Detection in Fused Intensity-Range Images with Complex SIFT (ℂSIFT). Remote Sensing. 2011; 3(9):2076-2088.

Chicago/Turabian Style

Bradley, Patrick Erik; Jutzi, Boris. 2011. "Improved Feature Detection in Fused Intensity-Range Images with Complex SIFT (ℂSIFT)." Remote Sens. 3, no. 9: 2076-2088.

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