Automatic Multiperspective Images

Román, Augusto; Lensch, Hendrik P. A.

Automatic Multiperspective Images

Files

083-092.pdf (710.51 KB)

Date

2006

Authors

Román, Augusto
Lensch, Hendrik P. A.

Publisher

The Eurographics Association

Abstract

Multiperspective images generated from a collection of photographs or a videostream can be used to effectively summarize long, roughly planar scenes such as city streets. The final image will span a larger field of view than any single input image. However, common projections used to make these images, including cross-slits and pushbroom projections, may suffer from depth-related distortions in non-planar scenes. In this paper, we use an aspect-ratio distortion metric to compare these images to standard perspective projections. By minimizing this error metric we can automatically define the picture surface and viewpoints of a multiperspective image that reduces distortion artifacts. This optimization requires only a coarse estimate of scene geometry which can be provided as a depth map or a 2D spatial importance map defining interesting parts of the scene. These maps can be automatically constructed in most cases, allowing rapid generation of images of very long scenes.

        @inproceedings{:10.2312/EGWR/EGSR06/083-092
,
booktitle = {Symposium on Rendering
},
editor = {Tomas Akenine-Moeller and Wolfgang Heidrich
},
title = {{Automatic Multiperspective Images
}},
author = {Román, Augusto and 
Lensch, Hendrik P. A.
},
year = {2006
},
publisher = {The Eurographics Association
},
ISSN = {1727-3463
},
ISBN = {3-905673-35-5
},
DOI = {/10.2312/EGWR/EGSR06/083-092
}
}