Evolving Visual Features and Detectors

نویسندگان

  • ALVARO GUARDA
  • CHRISTOPHE LE GAL
  • AUGUSTIN LUX
چکیده

This paper addresses the problem of automatic synthesis of visual detectors. We present a method using genetic techniques to learn visual features and a program which combines and integrates the features in non-linear ways. The method is integrated in a face tracking system to generate a variety of new visual perceptual processes.

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تاریخ انتشار 1998