An automatic image mosaic algorithm based on SURF detector

Meide Shao; Ping Shi; Xuyuan Gu; Qingqing Liu

doi:10.1117/12.896741

8 July 2011 An automatic image mosaic algorithm based on SURF detector

Meide Shao, Ping Shi, Xuyuan Gu, Qingqing Liu

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80092R (2011) https://doi.org/10.1117/12.896741
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

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.

Citation Download Citation

Meide Shao, Ping Shi, Xuyuan Gu, and Qingqing Liu "An automatic image mosaic algorithm based on SURF detector", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092R (8 July 2011); https://doi.org/10.1117/12.896741

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available