ML Anthology

Intel's Computer Vision Library: Applications in Calibration, Stereo, Segmentation, Tracking, Gesture, Face and Object Recognition

Gary R. Bradski, Vadim Pisarevsky
CVPR 2000 pp. 2796-
doi:10.1109/CVPR.2000.854964 /cvpr/2000/bradski2000cvpr-intel/

Abstract

Intel's Microcomputer Research Lab has been developing a highly optimized Computer Vision Library (CVLib) that automatically detects processor type and loads the appropriate MMX/sup TM/ technology assembly tuned module for that processor. MMX optimized functions are from 2 to 8 times faster than optimized C functions. We will be demonstrating various algorithms supported by CVLib and handing out CDs containing the library.

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Cite

Text

Bradski and Pisarevsky. "Intel's Computer Vision Library: Applications in Calibration, Stereo, Segmentation, Tracking, Gesture, Face and Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.854964

Markdown

[Bradski and Pisarevsky. "Intel's Computer Vision Library: Applications in Calibration, Stereo, Segmentation, Tracking, Gesture, Face and Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/bradski2000cvpr-intel/) doi:10.1109/CVPR.2000.854964

BibTeX

@inproceedings{bradski2000cvpr-intel,
  title     = {{Intel's Computer Vision Library: Applications in Calibration, Stereo, Segmentation, Tracking, Gesture, Face and Object Recognition}},
  author    = {Bradski, Gary R. and Pisarevsky, Vadim},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2000},
  pages     = {2796-},
  doi       = {10.1109/CVPR.2000.854964},
  url       = {https://mlanthology.org/cvpr/2000/bradski2000cvpr-intel/}
}