Color learning

Abstract

A computing device, programmed to acquire a color image and transform the color image into a color-component map. The computer can be further programmed to process the color-component map to detect a traffic sign by determining spatial coincidence and determining temporal consistency between the color-component map and the traffic sign.

Type
Publication
US Patent 10552692

Citation

Ghassan AlRegib, Min-Hung Chen, David McCreadie, and Daniel Lewis Boston, “Color learning”, US Patent 10552692, 2020.

BibTex

@misc{alregib2020color,
  title={Color learning},
  author={AlRegib, Ghassan and Chen, Min-Hung and McCreadie, David and },
  year={2020},
  month=February,
  publisher={Google Patents},
  note={US Patent 10552692}
}

Members

1Georgia Institute of Technology   2Ford Motor Company

Ghassan AlRegib1
Min-Hung Chen1
David McCreadie2
Daniel Boston2
Min-Hung Chen
Min-Hung Chen
Senior Research Scientist

My research interest is Learning without Fully Supervision.