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Improved feature detection in fused intensity-range images with Complex SIFT (C SIFT)

Bradley, P. E.; Jutzi, B.

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).

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Verlagsausgabe §
DOI: 10.5445/IR/1000032459
Veröffentlicht am 16.04.2018
DOI: 10.3390/rs3092076
Zitationen: 5
Web of Science
Zitationen: 6
Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Zeitschriftenaufsatz
Jahr 2011
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000032459
Erschienen in Remote sensing
Band 3
Heft 9
Seiten 2076-2088
Schlagworte image-based registration, SIFT, complex-valued image, mutual information, active sensor, range imaging, laser scanning, structured light projection
Nachgewiesen in Web of Science
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