Algorithm Evolution for Face Recognition: What Makes a Picture Difficult

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Astro Teller and Manuela Veloso",
  title =        "Algorithm Evolution for Face Recognition: What Makes a
                 Picture Difficult",
  booktitle =    "International Conference on Evolutionary Computation",
  year =         "1995",
  pages =        "608--613",
  address =      "Perth, Australia",
  publisher_address = "Piscataway, NJ, USA",
  month =        "1--3 " # dec,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, memory,
                 computer vision",
  URL =          "",
  URL =          "",
  size =         "6 pages",
  abstract =     "One of the classic problems in computer vision is the
                 face recognition problem. In general this problem can
                 take on a wide variety of forms, but the most common
                 face recognition problem is ``Who is this a picture
                 of?'' Evolution computation has, in the past, been
                 applied indirectly to this problem through techniques
                 like learning Neural Networks. This paper introduces a
                 Genetic Programming style approach to learning
                 algorithms that directly investigate face images and
                 are coordinated into a face recognition system. Through
                 a series of experiments, we will show that evolved
                 algorithms can accomplish the face recognition task. We
                 will also highlight several pitfalls and misconceptions
                 surrounding face recognition as a learning problem.",
  notes =        "ICEC-95 PADO

                 conference details at


Genetic Programming entries for Astro Teller Manuela Veloso