Biologically inspired framework for spatial and spectral velocity estimations

摘要

The multichannel gradient model (McGM) is an established, biologically plausible framework for the robust extraction of image velocity. Here we describe the McGM extension into color space and report the resulting performance improvement. Our new model, in contrast to existing approaches that process color channels separately, incorporates spectral energy measures to form a local description of the stimulus chromatic spatio-temporal structure from which we can recover both spatial and spectral velocities. We present a range of comparative experiments on synthetic and natural test data that demonstrate that our new method reduces errors and is more robust over a range of viewing environments.