Probability models for clutter in natural images

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 de...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2001-04, Vol.23 (4), p.424-429
Hauptverfasser:	Grenander, U., Srivastava, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Clutter Context modeling Density Face detection Image edge detection Image recognition Image texture analysis Intelligence Mathematical analysis Object recognition Pattern analysis Performance analysis Pixel Probability Shape Three dimensional Two dimensional
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