Object Modelling And Redundancy Reduction: Algorithmic Information Theory Revisited

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Abstract
Human subjects easily perceive and extensively use shape regularities such as symmetry or periodicity when they are confronted with the task of object description and recognition. A computer vision algorithm is presented which emulates such behaviour in that it similarly makes use of shape redundancies for the concise description and meaningful segmentation of object contours. A shape complexity measure is proposed, based on making such structure explicit, and therefore akin to algorithmic information theory.

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