15 November 2007 Aerial sequence image mosaic using reduced sift descriptors
Author Affiliations +
Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67862V (2007); doi: 10.1117/12.751054
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Sequence image mosaic is an important and effective method to build a large "panoramic" scene which includes two main steps: image registration and intensity blending. In this paper, SIFT feature points are used to match images. SIFT are invariant to rotation, translation and scale changes, but the significant drawback is the high dimensional feature descriptor which lead to the expensive computation. So reduced SIFT descriptors are proposed to increase the speed of image registration. Linear combination methods of the matching points' gray-values are used for intensity blending. The experiments show that our method is useful and has high registration accuracy.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongya Tuo, Zhongliang Jing, Tinghou Zhang, "Aerial sequence image mosaic using reduced sift descriptors", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862V (15 November 2007); doi: 10.1117/12.751054; https://doi.org/10.1117/12.751054

Image registration

Transform theory

Image processing

Panoramic photography

Aerospace engineering

Computer graphics

Feature extraction


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