Temporally Integrated Surface Reconstruction
Abstract
A solution is presented to the problem of obtaining and improving an estimate of the 3-D structure of a scene from a sequence of images. The algorithm, which combines single-frame reconstruction techniques and multiple-frame Kalman filtering, is tested on a variety of real motion image sequences.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Heel. "Temporally Integrated Surface Reconstruction." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139534Markdown
[Heel. "Temporally Integrated Surface Reconstruction." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/heel1990iccv-temporally/) doi:10.1109/ICCV.1990.139534BibTeX
@inproceedings{heel1990iccv-temporally,
title = {{Temporally Integrated Surface Reconstruction}},
author = {Heel, Joachim},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1990},
pages = {292-295},
doi = {10.1109/ICCV.1990.139534},
url = {https://mlanthology.org/iccv/1990/heel1990iccv-temporally/}
}