基于网格的自适应弹性图人脸匹配方法  

Adaptive Elastic Graph Face Matching Method in Grid

作　　者：张海旸[1] 马华东[1] 

机构地区：[1]北京邮电大学智能通信软件与多媒体北京市重点实验室,北京100876

出　　处：《计算机辅助设计与图形学学报》2008年第2期253-258,共6页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(90612013);国家"八六三"高技术研究发展计划(2006AA01Z304);北京市教委共建项目(SYS100130422);教育部新世纪人才支持计划

摘　　要：采用基于脸部结构的区域分割方法将人脸分成多个子区域;用不同密集度的弹性图划分和不同的变形粒度实现弹性变形,采用确定性退火算法找到弹性变形的最佳匹配;在网格平台上通过基于时间约束的最小花费调度策略并行实现文中方法.在较大的人脸库规模和非约束环境下,该方法在识别速度和识别率上有所提高.The whole face matching method includes three steps. First, a face is divided into several regions by using face structure-based region partitioning method; then the face matching process is performed in these regions by using elastic graph with different density and deforming scale, and the optimal matching is found by deterministic annealing algorithm in every region; moreover, the execution of recognition tasks are distributed in grid nodes by using time-constrained minimal cost scheduling algorithm. The experimental results show that our method has higher recognition accuracy and less time than that of other face recognition systems under the large face database and unrestricted conditions.

关 键 词：网格 人脸识别 弹性图匹配 分布式计算 确定性退火 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]