Automatic Model Construction, Pose Estimation, and Object Recognition from Photographs Using Triangular Splines
Abstract
This paper proposes a method for automatically constructing triangular G/sup 1/ spline models of complex three-dimensional objects from a few registered photographs. These models are used for pose estimation from monocular silhouette data and they form the basis for a simple recognition strategy. The proposed approach is demonstrated by several experiments.
Cite
Text
Sullivan and Ponce. "Automatic Model Construction, Pose Estimation, and Object Recognition from Photographs Using Triangular Splines." IEEE/CVF International Conference on Computer Vision, 1998. doi:10.1109/ICCV.1998.710765Markdown
[Sullivan and Ponce. "Automatic Model Construction, Pose Estimation, and Object Recognition from Photographs Using Triangular Splines." IEEE/CVF International Conference on Computer Vision, 1998.](https://mlanthology.org/iccv/1998/sullivan1998iccv-automatic/) doi:10.1109/ICCV.1998.710765BibTeX
@inproceedings{sullivan1998iccv-automatic,
title = {{Automatic Model Construction, Pose Estimation, and Object Recognition from Photographs Using Triangular Splines}},
author = {Sullivan, Steve and Ponce, Jean},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1998},
pages = {510-516},
doi = {10.1109/ICCV.1998.710765},
url = {https://mlanthology.org/iccv/1998/sullivan1998iccv-automatic/}
}