Automatic Seamless Image Mosaic Method Based on SIFT Features

被引：0
|
作者：
Liu, Meiying [1 ,2 ]
Wen, Desheng [1 ]
机构：
[1] Chinese Acad Sci, Xian Inst Opt & Precis Mech, 17 Xinxi Rd, Xian 710119, Peoples R China
[2] Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China
来源：
SECOND INTERNATIONAL CONFERENCE ON PHOTONICS AND OPTICAL ENGINEERING | 2017年 / 10256卷
基金：
中国国家自然科学基金;
关键词：
image mosaic; SIFT features; PROSAC algorithm; transforming matrix;
D O I：
10.1117/12.2257792
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
An automatic seamless image mosaic method based on SIFT features is proposed. First a scale-invariant feature extracting algorithm SIFT is used for feature extraction and matching, which gains sub-pixel precision for features extraction. Then, the transforming matrix H is computed with improved PROSAC algorithm, compared with RANSAC algorithm, the calculate efficiency is advanced, and the number of the inliers are more. Then the transforming matrix H is purify with LM algorithm. And finally image mosaic is completed with smoothing algorithm. The method implements automatically and avoids the disadvantages of traditional image mosaic method under different scale and illumination conditions. Experimental results show the image mosaic effect is wonderful and the algorithm is stable very much. It is high valuable in practice.
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页数：7
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