Abstract
This work presents a new approach to the problem of calibrating a zooming camera using staged global optimization. The input is a sequence of images of a known calibration target obtained at different mechanical zoom settings. We avoid heavy dependence on individual, strongly localized features. Feature localization is obtained iteratively, formulated as part of the error criterion used in various passes of the optimization process. The staged optimization process considers all images simultaneously, representing the parameters of the final calibrated camera as a function of zoom. Our experiments on synthetic images and real stereo image sequences (from a zooming stereo rig) achieve epipolar correspondences at all zoom settings to an accuracy of 1 pixel.
| Original language | English |
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| Title of host publication | Computer Analysis of Images and Patterns - 6th International Conference, CAIP 1995, Proceedings |
| Editors | Vaclav Hlavac, Radim Sara |
| Pages | 723-728 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 1995 |
| Event | 6th International Conference on Computer Analysis of Images and Patterns, CAIP 1995 - Prague, Czech Republic Duration: Sep 6 1995 → Sep 8 1995 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 970 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 6th International Conference on Computer Analysis of Images and Patterns, CAIP 1995 |
|---|---|
| Country/Territory | Czech Republic |
| City | Prague |
| Period | 9/6/95 → 9/8/95 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 1995.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science