Implementation of Auto-Rectification and Depth Estimation of Stereo Video in a Real-Time Smart Camera System
Abstract
In this paper, we present a real-time, low power, and wireless embedded stereo vision system. The system consists of WiCa board (Wireless Camera board) and the methods developed using a smart camera processor, IC3D. IC3D is an SIMD video-analysis processor that has 320 processor elements. The proposed auto-rectification method is suitable for a parallel stereo system like WiCa. It is based on the matching of a planar background. After rectification, the two images of the background are coincident with each other, i.e., both the vertical and horizontal disparity of the background plane is removed. Then a dense matching method is implemented to achieve the depth map of the foreground object. Left-to-right checking and reliability checking is applied to reduce the error of the estimated depth. The system runs at 30fps and handles disparity up to 37 pixels in CIF (320×240 pixels) mode.
Cite
Text
Gao et al. "Implementation of Auto-Rectification and Depth Estimation of Stereo Video in a Real-Time Smart Camera System." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563145Markdown
[Gao et al. "Implementation of Auto-Rectification and Depth Estimation of Stereo Video in a Real-Time Smart Camera System." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/gao2008cvprw-implementation/) doi:10.1109/CVPRW.2008.4563145BibTeX
@inproceedings{gao2008cvprw-implementation,
title = {{Implementation of Auto-Rectification and Depth Estimation of Stereo Video in a Real-Time Smart Camera System}},
author = {Gao, Xinting and Kleihorst, Richard P. and Schueler, Ben},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2008},
pages = {1-7},
doi = {10.1109/CVPRW.2008.4563145},
url = {https://mlanthology.org/cvprw/2008/gao2008cvprw-implementation/}
}