Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
6-2011
Abstract
Traditional image stitching using parametric transforms such as homography, only produces perceptually correct composites for planar scenes or parallax free camera motion between source frames. This limits mosaicing to source images taken from the same physical location. In this paper, we introduce a smoothly varying affine stitching field which is flexible enough to handle parallax while retaining the good extrapolation and occlusion handling properties of parametric transforms. Our algorithm which jointly estimates both the stitching field and correspondence, permits the stitching of general motion source images, provided the scenes do not contain abrupt protrusions.
Discipline
Theory and Algorithms
Research Areas
Data Science and Engineering
Publication
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011, Colorado Springs, United States, June 20-25
First Page
345
Last Page
352
ISBN
9781457703942
Identifier
10.1109/CVPR.2011.5995314
Publisher
IEEE Computer Society
City or Country
Colorado Springs, United States
Citation
LIN, Wen-yan; LIU, Siying; MATSUHITA, Yasuyuki; NG, Tian-Tsong; and CHEONG, Loong-Fah.
Smoothly varying affine stitching. (2011). Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011, Colorado Springs, United States, June 20-25. 345-352.
Available at: https://ink.library.smu.edu.sg/sis_research/4801
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/CVPR.2011.5995314