Analytical Methods for Uncalibrated Stereo and Motion Reconstruction
Abstract
We present a new approach to relative stereo and motion reconstruction from a discrete set of point correspondences in completely uncalibrated pairs of images. This approach also yields new projective invariants, and we present some applications to object recognition. Finally, we introduce a new approach to camera self-calibration from two images which allows full metric reconstruction up to some unknown scale factor. We have implemented the proposed methods and present examples using real images.
Cite
Text
Ponce et al. "Analytical Methods for Uncalibrated Stereo and Motion Reconstruction." European Conference on Computer Vision, 1994. doi:10.1007/3-540-57956-7_51Markdown
[Ponce et al. "Analytical Methods for Uncalibrated Stereo and Motion Reconstruction." European Conference on Computer Vision, 1994.](https://mlanthology.org/eccv/1994/ponce1994eccv-analytical/) doi:10.1007/3-540-57956-7_51BibTeX
@inproceedings{ponce1994eccv-analytical,
title = {{Analytical Methods for Uncalibrated Stereo and Motion Reconstruction}},
author = {Ponce, Jean and Marimont, David H. and Cass, Todd A.},
booktitle = {European Conference on Computer Vision},
year = {1994},
pages = {463-470},
doi = {10.1007/3-540-57956-7_51},
url = {https://mlanthology.org/eccv/1994/ponce1994eccv-analytical/}
}