We present in this paper a novel collaborative schemededicated to the measurement of velocity in fluid experimentalflows through image sequences. The proposed techniquecombine the robustness of correlation techniques withthe high density of global variational methods. It can be consideredeither as a reenforcement of fluid dedicated opticalflowmethods towards robustness, or as an enhancement ofcorrelation approachs towards dense information. This resultsin a technique that is robust under noise and outliers,while providing a dense motion field. The method was appliedon synthetic images and on real experiments in turbulentflows carried out to allow a thorough comparison with astate of the art optical-flow and PIV methods.