摘要
虚拟体育运动是一种逼真自然的人机交互系统。传统散斑相关算法的搜索速度较慢,不能满足虚拟体育运动对实时性的要求。通过对数字散斑相关测量方法的研究,提出一种有效的基于邻域相关信息的快速搜索方法,极大地降低了对应点匹配的计算复杂度,进而提高了深度测量的速度。根据测量结果的误差特征,提出了距离加权邻域平均插值算法,可以显著提高深度测量的精度。实测实验证明了该方法的有效性。
Virtual sports is a vivid human-computer interaction system.Search speed of the traditional speckle correlation algorithm is a little lower and it cannot meet the actual requirement of virtual sports.By studying the methods of digital speckle correlation measurement,a kind of an effective fast search method based on the relevant information of the neighborhood is proposed which can greatly reduce the computational complexity of the corresponding point matching and increase the speed of depth measurement.According to the error characteristics,a new interpolation method based on distance weighting is presented,which can greatly improve the accuracy of depth measurement.Experiments are demonstrated to support the effectiveness of this method.
出处
《激光与光电子学进展》
CSCD
北大核心
2012年第7期87-93,共7页
Laser & Optoelectronics Progress
基金
国家自然科学基金(60806050)
广东省自然科学基金重点项目(10251064101000008)
深圳市科技研发资金基础研究计划(JC201005270364A)资助课题
关键词
测量
虚拟体育运动
数字散斑
时间序列相关
单峰性
measurement
dirtual sports
vigital speckle
temporal-sequence correlation
single-peaked property
