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In this note, we propose a general definition of shape which is both compatible with the one proposed in phenomenology (gestaltism) and with a computer vision implementation. We reverse the usual order in Computer Vision. We do not define “shape recognition” as a task which requires a “model” pattern which is searched in all images of a certain kind. We give instead a “blind” definition of shapes relying only on invariance and repetition arguments. Given a set of images , we call shape of this...
We give a formalization of the ?knowledge games? which allows to study their decidability and convergence as a problem of mathematics. Our approach is based on a metalemma analogous to those of Von Neumann and Morgenstern at the beginning of Game Theory. We are led to definitions which characterize the knowledge games as objects is standard set theory. We then study rigorously the most classical knowledge games and, although we also prove that the ?common knowledge? in these games may be incomputable,...
In this note, we propose a general definition of shape which is
both compatible with the one proposed in phenomenology
(gestaltism) and with a computer vision implementation. We reverse
the usual order in Computer Vision. We do not define “shape
recognition" as a task which requires a “model" pattern which is
searched in all images of a certain kind. We give instead a
“blind" definition of shapes relying
only on invariance and repetition arguments.
Given a set of images , we call shape of this...
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