Genetic object recognition using combinations of views

  title={Genetic object recognition using combinations of views},
  author={George Bebis and Evangelos A. Yfantis and Sushil J. Louis and Yaakov L. Varol},
  journal={IEEE Trans. Evolutionary Computation},
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that the viewpoint is arbitrary. Our approach is model-based (i.e., we assume a predefined set of models), while our recognition strategy lies on the recently proposed theory of algebraic functions of views. According to this theory, the variety of 2-D views depicting an object can be expressed as a combination of a small… CONTINUE READING
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