Multiobjective design of operators that detect points of interest in images

@inproceedings{Trujillo2008MultiobjectiveDO,
  title={Multiobjective design of operators that detect points of interest in images},
  author={Leonardo Trujillo and Gustavo Olague and Evelyne Lutton and Francisco Fern{\'a}ndez de Vega},
  booktitle={GECCO},
  year={2008}
}
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic programming (GP). IPs are image pixels that are unique, robust to changes during image acquisition, and convey highly descriptive information. Detecting such features is ubiquitous… CONTINUE READING