ML Anthology

An Optimized Silicon Retina Stereo Matching Algorithm Using Time-Space Correlation

Christoph Sulzbachner, C. Zinner, Jürgen Kogler
CVPRW 2011 pp. 1-7
doi:10.1109/CVPRW.2011.5981722 /cvprw/2011/sulzbachner2011cvprw-optimized/

Abstract

This paper presents an optimized implementation of a Silicon Retina based stereo matching algorithm using time-space correlation. The algorithm combines an event-based time correlation approach with a census transform based matching method on grayscale images that are generated from the sensor output. The data processing part of the system is optimized for an Intel i7 mobile architecture and a C64x+ multi-core digital signal processor (DSP). Both platforms use an additional C64x+ single-core DSP system for acquisition and pre-processing of sensor data. We focus on the performance optimization techniques that had a major impact on the run-time performance of both processor architectures used.

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Cite

Text

Sulzbachner et al. "An Optimized Silicon Retina Stereo Matching Algorithm Using Time-Space Correlation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011. doi:10.1109/CVPRW.2011.5981722

Markdown

[Sulzbachner et al. "An Optimized Silicon Retina Stereo Matching Algorithm Using Time-Space Correlation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011.](https://mlanthology.org/cvprw/2011/sulzbachner2011cvprw-optimized/) doi:10.1109/CVPRW.2011.5981722

BibTeX

@inproceedings{sulzbachner2011cvprw-optimized,
  title     = {{An Optimized Silicon Retina Stereo Matching Algorithm Using Time-Space Correlation}},
  author    = {Sulzbachner, Christoph and Zinner, C. and Kogler, Jürgen},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2011},
  pages     = {1-7},
  doi       = {10.1109/CVPRW.2011.5981722},
  url       = {https://mlanthology.org/cvprw/2011/sulzbachner2011cvprw-optimized/}
}