摘要
针对粒子测速系统中空间点立体匹配难、空间信息难以表示的问题,构建了基于双目视觉的三维粒子测速一般模型。模型中提出并采用了分层提取的逐层相关法:即先对三维空间进行二维切分,然后结合粒子图像测速(particle image velocimetry,PIV)技术与粒子追踪测速(particle tracking velocimetry,PTV)技术对不同帧的二维粒子层面进行相关处理并求出粒子运动矢量。最后平面校正实验、空间切片重构实验以及人工合成粒子图的测速试验均证明了该方法的可靠性,使用该方法可以较精确的得到可测范围内空间任意点的矢量场。
A new three-dimensional （3-D） measurement method based on binocular vision is proposed. Using the proposed method, problems on spatial stereo matching and information representation can be solved. A 3-D space is first segmented and aligned to many 2-D planes. And then the 2-D particle image velocimetry （PIV） and particle tracking velocimetry （PTV） technologies are applied to different image frames which include the information of vision disparity. Finally, plane emendation, slice reconstruction and synthetic images are tested. The experimental results show that the proposed method is suitable for various 3-D particle images, and the vector fields of arbitrary points, which are in the fathomable bound, are obtained with high precision.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2007年第11期1994-1998,共5页
Systems Engineering and Electronics
基金
国家自然科学基金资助课题(50379002)
关键词
双目视觉
三维粒子图像测速
相关
立体匹配
binocular vision
3-D particle image velocimetry
correlation
stereo matching
作者简介
杜海（1980-），男，博士研究生，主要研究方向为智能化视觉测量。E-mail：albertddd@hotmail．com
