双目视觉在粒子图像测量中的研究

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。

Study of particle image velocimetry systems based on binocular vision

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.