Infinite divisibility and stochastic models for natural images
David Mumford
The mathematical concept of a probability distribution being infinitely
divisible seems to capture important aspects of the statistics of
natural images. It interacts with the idea of scale-invariance to
produce a very constrained set of possible image models. In this talk,
we will describe some mathematical results in this direction, as well
as the heuristic idea that these two principles explain the concept
of "clutter", which seems to be one of the main reasons vision is
difficult.
Back to the Natural Scenes Meeting Agenda.