A Space-Sweep Approach to True Multi-Image Matching
Abstract
The problem of determining feature correspondences across multiple views is considered. The term "true multi-image" matching is introduced to describe techniques that make full and efficient use of the geometric relationships between multiple images and the scene. A true multi-image technique must generalize to any number of images, be of linear algorithmic complexity in the number of images, and use all the images in an equal manner. A new space-sweep approach to true multi-image matching is presented that simultaneously determines 2D feature correspondences and the 3D positions of feature points in the scene. The method is illustrated on a seven-image matching example from the aerial image domain.
Cite
Text
Collins. "A Space-Sweep Approach to True Multi-Image Matching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996. doi:10.1109/CVPR.1996.517097Markdown
[Collins. "A Space-Sweep Approach to True Multi-Image Matching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996.](https://mlanthology.org/cvpr/1996/collins1996cvpr-space/) doi:10.1109/CVPR.1996.517097BibTeX
@inproceedings{collins1996cvpr-space,
title = {{A Space-Sweep Approach to True Multi-Image Matching}},
author = {Collins, Robert T.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1996},
pages = {358-363},
doi = {10.1109/CVPR.1996.517097},
url = {https://mlanthology.org/cvpr/1996/collins1996cvpr-space/}
}