A Locally Adaptive Window for Signal Matching
Abstract
The authors presents a signal matching algorithm that can select an appropriate window size adaptively so as to obtain both precise and stable estimation of correspondences. A statistical model is presented for disparity variation within a window, and it is used to establish a link between the window size and the uncertainty of the computed disparity. This makes it possible to choose the window size that minimizes uncertainty in the disparity computed at each point. A theory is presented for the model and the resultant algorithm, together with analytical and experimental results that demonstrate their effectiveness.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Okutomi and Kanade. "A Locally Adaptive Window for Signal Matching." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139519Markdown
[Okutomi and Kanade. "A Locally Adaptive Window for Signal Matching." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/okutomi1990iccv-locally/) doi:10.1109/ICCV.1990.139519BibTeX
@inproceedings{okutomi1990iccv-locally,
title = {{A Locally Adaptive Window for Signal Matching}},
author = {Okutomi, Masatoshi and Kanade, Takeo},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1990},
pages = {190-199},
doi = {10.1109/ICCV.1990.139519},
url = {https://mlanthology.org/iccv/1990/okutomi1990iccv-locally/}
}