Paper
4 March 2015 Speed-up keypoint mapping technique by multi-resolution and global information
Author Affiliations +
Proceedings Volume 9410, Visual Information Processing and Communication VI; 94100O (2015) https://doi.org/10.1117/12.2077046
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
This work deals with the problem of high computation complexity in image registration. A hierarchical multiresolution strategy is utilized to speed up the processing of SIFT by starting on a low resolution octave. The initial affine transformation model will be achieved. In subsequent multiresolution octaves, we apply the transformation affine model getting from upper octave to current octave, then, combined with geometrical distribution of matched keypoints to further remove incorrect mappings and update affine transformation model. The strategy ends with the best affine transformation model on the bottom octave(full-size image). Experimental results show that the proposed method can achieve comparative accuracy with less computational than original SIFT
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Qiao, Yong Li, Hongbin Jin, and Zhigang Wen "Speed-up keypoint mapping technique by multi-resolution and global information", Proc. SPIE 9410, Visual Information Processing and Communication VI, 94100O (4 March 2015); https://doi.org/10.1117/12.2077046
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KEYWORDS
Affine motion model

Image registration

Associative arrays

Image processing

Image resolution

Image analysis

Data modeling

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