Remote Sensing | |
Improved Feature Detection in Fused Intensity-Range Images with Complex SIFT (ℂSIFT) | |
Patrick Erik Bradley1  | |
关键词: image-based registration; SIFT; complex-valued image; mutual information; active sensor; range imaging; laser scanning; structured light projection; | |
DOI : 10.3390/rs3092076 | |
来源: mdpi | |
【 摘 要 】
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).
【 授权许可】
CC BY
© 2011 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190047969ZK.pdf | 1530KB | download |