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

Remote Sensing

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.