Prior Learning and Gibbs Reaction-Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR
IEEE Transactions on Pattern Analysis and Machine Intelligence
Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
Probability models for complex systems
Probability models for complex systems
Asymptotic performance analysis of Bayesian target recognition
IEEE Transactions on Information Theory
Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
On Advances in Statistical Modeling of Natural Images
Journal of Mathematical Imaging and Vision
Universal Analytical Forms for Modeling Image Probabilities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analytical Image Models and Their Applications
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Guest Editorial: Computational Vision at Brown
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
The Nonlinear Statistics of High-Contrast Patches in Natural Images
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Hide and Seek: An Introduction to Steganography
IEEE Security and Privacy
Intrinsic generalization analysis of low dimensional representations
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
Statistical Shape Analysis: Clustering, Learning, and Testing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information-Theoretic Active Polygons for Unsupervised Texture Segmentation
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image-Based Rendering Using Image-Based Priors
International Journal of Computer Vision
Iterative Kernel Principal Component Analysis for Image Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object recognition with uncertain geometry and uncertain part detection
Computer Vision and Image Understanding
Homeostatic image perception: an artificial system
Computer Vision and Image Understanding
Granular computing in computer image perception: basic issues and glass box models
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
On the Spatial Statistics of Optical Flow
International Journal of Computer Vision
Infinitely Divisible Cascades to Model the Statistics of Natural Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface Visibility Probabilities in 3D Cluttered Scenes
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Homeostatic image perception: An artificial system
Computer Vision and Image Understanding
Object recognition with uncertain geometry and uncertain part detection
Computer Vision and Image Understanding
Properties of Brownian image models in scale-space
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Virtual Super Resolution of Scale Invariant Textured Images Using Multifractal Stochastic Processes
Journal of Mathematical Imaging and Vision
On the Bayesian Wavelet Estimator of Fadili and Boubchir
Wireless Personal Communications: An International Journal
Statistical analysis of several reversible data hiding algorithms
Multimedia Tools and Applications
A scale invariant covariance structure on jet space
DSSCV'05 Proceedings of the First international conference on Deep Structure, Singularities, and Computer Vision
The stochastic structure of images
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
On α kernels, Lévy processes, and natural image statistics
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
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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.