计算机应用研究2018，Vol.35Issue(1)：313-316,4.DOI:10.3969/j.issn.1001-3695.2018.01.067
基于遗传优化的自适应凸松弛人体姿势估计
Human pose estimation:adaptive convex relaxation approach based on genetic optimization
摘要
Abstract
In order to overcome the drawbacks of large number of iterations and low accuracy of convex relaxation approach during solving 3D human pose estimation,this paper proposed an adaptive convex relaxation approach based on genetic optimization.Firstly,it adaptively updated the key parameter.Then it used the genetic algorithm to optimize initial value of the key parameter.Finally it improved the expression of closed-form solution in the convex relaxation approach by using the result of optimization.The experimental results show that the improved algorithm has less iterative numbers but higher accuracy,which can be much helpful to practical applications.关键词
姿势估计/凸松弛/自适应/遗传优化Key words
human pose estimation/convex relaxation/adaptive/genetic optimization分类
信息技术与安全科学引用本文复制引用
刘万军,王伟,付兴武,曲海成..基于遗传优化的自适应凸松弛人体姿势估计[J].计算机应用研究,2018,35(1):313-316,4.基金项目
辽宁省教育厅科学技术研究一般项目(L2015216) （L2015216）
