Share Email Print

Proceedings Paper

Feature-based image registration and mosaicing
Author(s): Weilin Song; Han Wang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The technique of image mosaicing was analyzed in this paper. The progress of image mosaicing comprises two parts, namely image registration and image blending. The key issue of image mosacing is to calculate the transformations (Homography) from the input image pairs correctly and accurately. Feature based methods are adopted for image registration. Firstly, corners are extracted from the images to be glued together. Matches were found from these features manually. During the process of mosaicing, three different algorithms have been investigated including (1) the four-point algorithm, (2) the least square algorithm and (3) the unbiased least square algorithm which appliced Kanatani's statistical optimization theory. Experimental results show the effectiveness of the unbiased least square algorithm.

Paper Details

Date Published: 23 June 2000
PDF: 9 pages
Proc. SPIE 4023, Enhanced and Synthetic Vision 2000, (23 June 2000); doi: 10.1117/12.389349
Show Author Affiliations
Weilin Song, Nanyang Technological Univ. (Singapore)
Han Wang, Nanyang Technological Univ. (Singapore)

Published in SPIE Proceedings Vol. 4023:
Enhanced and Synthetic Vision 2000
Jacques G. Verly, Editor(s)

© SPIE. Terms of Use
Back to Top