To this end we have had many ingenious inventions such as the random-dot stereogram, intricate plaid patterns ,and colourful Mondrians. However, the simplifications afforded by such thinking are often offset by the difficulties they introduce. Second, isolation of visual information almost inevitably leads to ambiguity in the reconstruction of the real world. Using statistical methods such the Bayesian framework allows for the maximisation of the information derived from various sources. But, it seems still not to be enough.
Vision starts when a particular task has to be performed.
The role of vision is not one of reconstruction of the real world in the brain but one of serving the needs of a mobile active being that functions in the real world. The talks presented in this session perhaps give a flavour of how it has been in Vision and also perhaps a flavour of how it will be in the future.