不定形状基无差别约束中人体运动图像重构防失控算法  

Human Movement Image Reconstruction in Indefinite Shape Base Indiscriminate Constraint Blowout Out of Control Algorithm

作　　者：何贵阳[1] 

机构地区：[1]重庆城市管理职业学院文化产业管理学院,重庆401331

出　　处：《科技通报》2013年第11期145-148,共4页Bulletin of Science and Technology

基　　金：:重庆市教学改革研究项目--基于真实任务的高职摄影摄像技术专业实践教学研究与实践(编号:1203163)

摘　　要：提出一种不定形状基无差别约束中人体运动图像重构防失控算法,把运动员运动姿态的坐标看作一个随机过程,通过计算运动员的形状基数量,对无约束下的形状基进行分类,针对不同的形状基区域确定运动状态下形状基矩阵,运用分区约束结果指导不同重构矩阵的秩计算,对形状基数量进行可变性的计算,防止大区域下的重构失控。以不同的运动图像为实验对象,结果表明,该方法可以对运动员的三维运动参数重构结果进行优化,降低重构参数失控风险。Put forward a kind of uncertain shape base indiscriminate constraints of human motion image reconstruction blowout out of control algorithm, the coordinates of the athletes of motion can be viewed as a random process, by calculating the shape of the base number of athletes, the shape of the base are classified under the unconstrained, according to different shape of the base area determine the motion state of form base matrix, the use of zoning constraints results to guide different reconstruction matrix rank of calculation, the shape of the base number of the calculation of variability, prevent large area under refactoring is out of control. In different motion image as experiment object, the results show that the method can be 3 d motion parameters of some athletes based on optimized results, reduce the risk of reconstruetion parameters is out of control.

关 键 词：不定形状基 无差别约束 重构失控 分类约束 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]