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    • 2. 发明授权
    • Face recognition using evolutionary algorithms
    • 使用进化算法进行人脸识别
    • US07139738B2
    • 2006-11-21
    • US10183691
    • 2002-06-27
    • Vasanth PhilominSrinivas GuttaMiroslav Trajkovic
    • Vasanth PhilominSrinivas GuttaMiroslav Trajkovic
    • G06F151/18
    • G06K9/00288
    • A system and method wherein the parameters used for face recognition are determined via an evolutionary algorithm, such as a genetic algorithm. Candidate sets of parameters are evaluated for face recognition performance in a given environment. The most effective sets of parameters are used to generate offspring sets of parameters, and these offspring sets are subsequently evaluated for face recognition performance. This process is repeated, with each generation of offspring sets inheriting attributes of the most successful sets, until the system converges on a set of parameters that exhibits superior performance for the given environment. In like manner, other sets of parameters are determined for other environments. When the face recognition system is deployed, the appropriate set of parameters is used, dependent upon the environment in which the target images originate. In this manner, the system exhibits superior performance in each of the environments in which it is deployed.
    • 一种系统和方法,其中用于面部识别的参数通过诸如遗传算法的进化算法来确定。 在给定的环境中评估候选参数集的面部识别性能。 最有效的参数集用于生成参数的后代集合,随后对这些后代集进行面部识别性能的评估。 这个过程被重复,每一代后代集继承了最成功的集合的属性,直到系统收敛于对给定环境表现出优异性能的一组参数。 以类似的方式,为其他环境确定其他参数集。 当部署脸部识别系统时,根据目标图像产生的环境,使用适当的参数集合。 以这种方式,该系统在其部署的每个环境中表现出优异的性能。