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Probability Models for Clutter in Natural Images
April 2001 (vol. 23 no. 4)
pp. 424-429

Abstract—We propose a framework for modeling clutter in natural images. Assuming that: 1) images are made up of 2D (projected) views of 3D (real) objects and 2) certain simplifying conditions hold, we derive an analytical density for natural images. This expression is shown to match well with the observed densities (histograms). In addition to deriving multidimensional densities, several extensions are also proposed.

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Index Terms:
Image models, object recognition, clutter, transported model.
Citation:
Ulf Grenander, Anuj Srivastava, "Probability Models for Clutter in Natural Images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 4, pp. 424-429, April 2001, doi:10.1109/34.917579
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