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Proceedings Paper

Aerial sequence image mosaic using reduced sift descriptors
Author(s): Hongya Tuo; Zhongliang Jing; Tinghou Zhang
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Paper Abstract

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.

Paper Details

Date Published: 15 November 2007
PDF: 9 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862V (15 November 2007); doi: 10.1117/12.751054
Show Author Affiliations
Hongya Tuo, Shanghai Jiao Tong Univ. (China)
Zhongliang Jing, Shanghai Jiao Tong Univ. (China)
Tinghou Zhang, Shanghai Jiao Tong Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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