We present in this paper a novel approach dedicated
to the measurement of velocity in fluid experimental
flows through image sequences. Unlike most of the
methods based on particle image velocimetry (PIV) approaches
used in that context, the proposed technique is an
extension of optical-flow schemes used in the computer
vision community, which includes a specific enhancement
for fluid mechanics applications. The method we propose
enables to provide accurate densemotion fields. It includes
an image based integrated version of the continuity
equation. This model is associated to a regularization
functional, which preserve divergence and vorticity blobs
of the motion field. The method was applied on synthetic
images and on real experiments carried out to allow a
thorough comparison with a state-of-the-art PIV method
in conditions of strong local free shear. 德国LaVision PIV/PLIF粒子成像测速场仪 Imager sCMOS PIV相机 PLIF平面激光诱导荧光火焰燃烧检测系统
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