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

Additional URL

https://doi.org/10.1109/CVPR.2011.5995314

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