  Human intelligence seems so mysterious that we have not successfully
understood its foundation until now. Here, I want to present a basic cognitive
process, motion mapping cognition (MMC), which should be a nondecomposable
primary function in human vision. Wherein, I point out that, MMC process can be
used to explain most of human visual functions in fundamental, but can not be
effectively modelled by traditional visual processing ways including image
segmentation, object recognition, object tracking etc. Furthermore, I state
that MMC may be looked as an extension of Chen's theory of topological
perception on human vision, and seems to be unsolvable using existing
intelligent algorithm skills. Finally, along with the requirements of MMC
problem, an interesting computational model, quantized topological matching
principle can be derived by developing the idea of optimal transport theory.
Above results may give us huge inspiration to develop more robust and
interpretable machine vision models.
