Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPR.2011.5995314
Title: Smoothly varying affine stitching
Authors: Lin, W.-Y.
Liu, S.
Matsushita, Y.
Ng, T.-T.
Cheong, L.-F. 
Issue Date: 2011
Source: Lin, W.-Y.,Liu, S.,Matsushita, Y.,Ng, T.-T.,Cheong, L.-F. (2011). Smoothly varying affine stitching. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 345-352. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2011.5995314
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. © 2011 IEEE.
Source Title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/71805
ISBN: 9781457703942
ISSN: 10636919
DOI: 10.1109/CVPR.2011.5995314
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

72
checked on Feb 20, 2018

Page view(s)

23
checked on Feb 23, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.