  We present a flexible approach to colour transfer inspired by techniques
recently proposed for shape registration. Colour distributions of the palette
and target images are modelled with Gaussian Mixture Models (GMMs) that are
robustly registered to infer a non linear parametric transfer function. We show
experimentally that our approach compares well to current techniques both
quantitatively and qualitatively. Moreover, our technique is computationally
the fastest and can take efficient advantage of parallel processing
architectures for recolouring images and videos. Our transfer function is
parametric and hence can be stored in memory for later usage and also combined
with other computed transfer functions to create interesting visual effects.
Overall this paper provides a fast user friendly approach to recolouring of
image and video materials.
