An optimized cross-correlation based Imaging Velocimetry system is des
cribed and its performance is evaluated in numerical and physical expe
riments. Given a discrete image array pair, the flow seeding and image
processing parameters are optimized to maximize displacement accuracy
, regardless of the computational cost; collectively these techniques
are known as Correlation Imaging Velocimetry (CIV). Order of magnitude
improvements over standard DPIV methods can readily be obtained, allo
wing high resolution measurements to be made with low cost standard re
solution cameras. Fundamental limits on the measurable range of length
, velocity and vorticity scales are identified, and related to those e
ncountered in homogeneous, 3D turbulence. The current restrictions app
ly to all imaging velocimetry measurements; some paths for future rese
arch that are likely to be profitable are identified, together with so
me that are not. Extensive use of CIV in this and other laboratories h
as allowed direct verification of these optimization principals.