On Geometric and Photometric Registration of Images

• Published in: 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 Vol. 1; pp. I-1261 - I-1264
• Main Authors: Gevrekci, M., Gunturk, B. K.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-04-2007
• Subjects: Cameras; Computer vision; Contrast invariant feature extraction; Detection algorithms; Detectors; Dynamic range; Histograms; Layout; Motion estimation; Parameter estimation; photometric registration; Photometry
• ISBN: 9781424407279; 1424407273
• ISSN: 1520-6149; 2379-190X
• DOI: 10.1109/ICASSP.2007.366144

Finding geometric and photometric relation among images is crucial in many computer vision tasks such as panoramic imaging, high dynamic range imaging, stereo imaging, and change detection. Most photometric registration algorithms require accurate geometric registration of images. On the other hand, geometric registration may fail when images are not aligned photometrically. There are two contributions of this paper: (i) A contrast invariant feature detection algorithm is proposed. This would allow geometric registration of images without photometric registration, (ii) A photometric registration algorithm that can handle scene occlusions is presented.