Share Email Print

Proceedings Paper

An automatic image mosaic algorithm based on SURF detector
Author(s): Meide Shao; Ping Shi; Xuyuan Gu; Qingqing Liu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, an image mosaic method based on SURF feature matching is proposed, which consists of the following steps: First, detecting SURF feature descriptor and finding matching pairs by mutual matching; Then, modified PROSAC (Progressive Sample Consensus) is proposed to remove the mismatch pairs and estimate homography matrix; Finally, adjusting the image to the same coordinate by transformation matrix and blending image by weight averaged linear blending. The experiment results show that the proposed method can detect descriptor rapidly and blend images accurately.

Paper Details

Date Published: 8 July 2011
PDF: 6 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092R (8 July 2011); doi: 10.1117/12.896741
Show Author Affiliations
Meide Shao, Communication Univ. of China (China)
Ping Shi, Communication Univ. of China (China)
Xuyuan Gu, Communication Univ. of China (China)
Qingqing Liu, Communication Univ. of China (China)

Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?