一种基于遗传线性搜索算法的关节手模型匹配方法

提出了一种可替代传统搜索算法的改进型模型匹配算法 这种算法将遗传算法 (GeneticAlgorithm ,GA)和经典的线性搜索算法 (LineSearch ingAlgorithm ,LSA)相结合 它能保证匹配解是全局最优的并且运算是近乎实时的

This fitting process can be regarded as a procedure of optimization based on a certain hand alignment measure. In this paper, an improved algorithm for the model fitting process is proposed to substitute conventional searching algorithm. The algorithm is the combination of Genetic Algorithm (GA) and classical Line Searching Algorithm (LSA). The new algorithm guarantees the fitting solution to be the global optimal and the operation near to be real time implementable.

中国科学院沈阳自动化所开放课题基金;;山东省自然科学基金资助 (Y2 0 0 1G0 4 )