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Visual Feature Detection using Genetic Programming

Andrew J. Marek, William D. Smart, and Martin C. Martin.
In "Proceedings of the Computer Vision and Pattern Recognition (CVPR 2003) Workshop on Learning in Computer Vision and Pattern Recognition", Madison, WI, June 2003.

In this paper, we describe the use of Genetic Programming (GP) techniques to learn a visual feature detection for a mobile robot navigation task. We provide experimental results across a number of different environments, each with different characteristics, and draw conclusions about the performance of the learned feature detector. We also explore the utility of seeding the initial population with a previously evolved individual, and discuss the performance of the resulting individuals.

Paper: [PDF]

@inproceedings{cvpr-ws03,
  author = {Marek, Andrew J. and Smart, William D. and Martin, Martin C.},
  title = {Visual Feature Detection using Genetic Programming},
  booktitle = {Proceedings of the Computer Vision and Pattern Recognition (CVPR 2003) Workshop on Learning in Computer Vision and Pattern Recognition},
  address = {Madison, WI},
  month = {June},
  year = {2003}
}