Laplacian-Gaussian Sub-Correlation Analysis for the Extraction of Maneuvering Affordance in Random Image Fields
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چکیده
Abstract: Scale shift of random texture due to perspective projection is available as the cue to estimate the expansion of almost horizontal space. To detect the image of possible routes as a version of maneuvering affordance, in this paper, two universal imaging rules, perspective projection and self-similarity, are combined. By identifying scale feature to invariant measure associated with a fractal attractor, the expansion of maneuvering area is estimated. The detection scheme was verified through experimental studies.
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تاریخ انتشار 2015