소형 유전자 알고리즘을 이용한 새로운 스테레오 정합

A New Stereo Matching Using Compact Genetic Algorithm

  • 한규필 (경북대학교 전자전기공학부) ;
  • 배태면 (경북대학교 전자전기공학부) ;
  • 권순규 (경북대학교 전자전기공학부) ;
  • 하영호 (경북대학교 전자전기공학부)
  • 발행 : 1999.06.01

초록

Genetic algorithm is an efficient search method using principles of natural selection and population genetics. In conventional genetic algorithms, however, the size of gene pool should be increased to insure a convergency. Therefore, many memory spaces and much computation time were needed. Also, since child chromosomes were generated by chromosome crossover and gene mutation, the algorithms have a complex structure. Thus, in this paper, a compact stereo matching algorithm using a population-based incremental teaming based on probability vector is proposed to reduce these problems. The PBIL method is modified for matching environment. Since the Proposed algorithm uses a probability vector and eliminates gene pool, chromosome crossover, and gene mutation, the matching algorithm is simple and the computation load is considerably reduced. Even if the characteristics of images are changed, stable outputs are obtained without the modification of the matching algorithm.

키워드