An illustration of eigenspace decomposition for illumination invariant pose estimation

  • Authors:
  • Randy C. Hoover;Anthony A. Maciejewski;Rodney G. Roberts;Ryan P. Hoppal

  • Affiliations:
  • Dept. of Electrical and Computer Eng., Colorado State University, Fort Collins, CO;Dept. of Electrical and Computer Eng., Colorado State University, Fort Collins, CO;Dept. of Electrical and Computer Eng., Florida A & M - Florida State University, Tallahassee, FL;Dept. of Electrical and Computer Eng., Colorado State University, Fort Collins, CO

  • Venue:
  • SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
  • Year:
  • 2009

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Abstract

Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...