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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; in revised form: 28 July 2011 / Accepted: 23 August 2011 / Published: 16 September 2011
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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Bradley, P.E.; Jutzi, B. Improved Feature Detection in Fused Intensity-Range Images with Complex SIFT (ℂSIFT). Remote Sens. 2011, 3, 2076-2088.
Bradley PE, Jutzi B. Improved Feature Detection in Fused Intensity-Range Images with Complex SIFT (ℂSIFT). Remote Sensing. 2011; 3(9):2076-2088.
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.