An Improved Real-Time Miniaturized Embedded Stereo Vision System (MESVS-II)

Abstract

In this paper we describe a fully integrated, real-time, miniaturized embedded stereo vision system (MESVS-II), which fits within 5times5cm and consumes very low power. This is a significant improvement over the original MESVS-I system in terms of performance, quality and accuracy of results. MESVS-II running at 600MHz per core, is capable of operating at up to 20 fps, which is twice as fast as MESVS-I, due to the efficient implementation of stereo-vision algorithms, improved memory and data management, in-place processing scheme, code optimization, and the pipelined-programming model that takes advantage of the dual-core architecture of the embedded processor. The firmware incorporates sub-sampling, rectification, pre-processing, matching, LRC (Left/Right Consistency) check and post-processing. As demonstrated by our experimental results, we have also enhanced the robustness of the stereo-matching engine to radiometric variations by choosing census transform over rank transform.

Cite

Text

Khaleghi et al. "An Improved Real-Time Miniaturized Embedded Stereo Vision System (MESVS-II)." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563144

Markdown

[Khaleghi et al. "An Improved Real-Time Miniaturized Embedded Stereo Vision System (MESVS-II)." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/khaleghi2008cvprw-improved/) doi:10.1109/CVPRW.2008.4563144

BibTeX

@inproceedings{khaleghi2008cvprw-improved,
  title     = {{An Improved Real-Time Miniaturized Embedded Stereo Vision System (MESVS-II)}},
  author    = {Khaleghi, Bahador and Ahuja, Siddhant and Wu, Q. M. Jonathan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-8},
  doi       = {10.1109/CVPRW.2008.4563144},
  url       = {https://mlanthology.org/cvprw/2008/khaleghi2008cvprw-improved/}
}