Occlusion models for natural images: A statistical study of a scale-invariant dead leaves model
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Publication:1859566
DOI10.1023/A:1011109015675zbMath1012.68715MaRDI QIDQ1859566
Publication date: 19 February 2003
Published in: International Journal of Computer Vision (Search for Journal in Brave)
dead leaves modelscalingnon-Gaussian statisticsclutternatural imagesocclusionsstochastic image model
Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)
Related Items (8)
Beamlets are densely embedded in \(H^{-1}\) ⋮ Random sequential covering ⋮ From information scaling of natural images to regimes of statistical models ⋮ A comparison of random field models beyond bivariate distributions ⋮ On the foundations of vision modeling. III: Noncommutative monoids of occlusive preimages ⋮ Learning a Generative Model of Images by Factoring Appearance and Shape ⋮ The dead leaves model: a general tessellation modeling occlusion ⋮ Conservative Scale Recomposition for Multiscale Denoising (The Devil is in the High Frequency Detail)
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