Car Make and Model Recognition Using 3D Curve Alignment
Abstract
We present a new approach for recognizing the make and model of a car from a single image. While most previous methods are restricted to fixed or limited viewpoints, our system is able to verify a car's make and model from an arbitrary view. Our model consists of 3D space curves obtained by backprojecting image curves onto silhouette-based visual hulls and then refining them using three-view curve matching. These 3D curves are then matched to 2D image curves using a 3D view-based alignment technique. We present two different methods for estimating the pose of a car, which we then use to initialize the 3D curve matching. Our approach is able to verify the exact make and model of a car over a wide range of viewpoints in cluttered scenes.
Cite
Text
Ramnath et al. "Car Make and Model Recognition Using 3D Curve Alignment." IEEE/CVF Winter Conference on Applications of Computer Vision, 2014. doi:10.1109/WACV.2014.6836087Markdown
[Ramnath et al. "Car Make and Model Recognition Using 3D Curve Alignment." IEEE/CVF Winter Conference on Applications of Computer Vision, 2014.](https://mlanthology.org/wacv/2014/ramnath2014wacv-car/) doi:10.1109/WACV.2014.6836087BibTeX
@inproceedings{ramnath2014wacv-car,
title = {{Car Make and Model Recognition Using 3D Curve Alignment}},
author = {Ramnath, Krishnan and Sinha, Sudipta N. and Szeliski, Richard and Hsiao, Edward},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2014},
pages = {285-292},
doi = {10.1109/WACV.2014.6836087},
url = {https://mlanthology.org/wacv/2014/ramnath2014wacv-car/}
}