Probability models for clutter in natural images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 23, Issue 4, 2001, Pages 424-429

  Grenander, Ulf ^b   Srivastava, Anuj ^a,c  

^a IEEE   (United States)

^b BROWN UNIVERSITY   (United States)

^c FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Clutter; Image models; Object recognition; Transported model

Indexed keywords

CLUTTER; NATURAL IMAGES; PROBABILITY MODELS;

AUTOMATIC TARGET RECOGNITION; IMAGE ANALYSIS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; POISSON EQUATION; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES;

OBJECT RECOGNITION;

EID: 0035304478     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.917579     Document Type: Article

References (12)

1. Probability models for complex systems
2. Relations between the statistics of natural images and the response properties of cortical cells
3. Hilbert-Schmidt lower bounds for estimators on matrix lie groups for ATR
4. Transported generator clutter models
5. Asymptotic performance analysis of bayesian object recognition
6. Statistics of natural images and models
7. Occlusion models for natural images: A statistical study of scale-invariant dead leaves model
8. Empirical investigations into the statistics of clutter and the mathematical models it leads to
9. Higher-order statistical models for visual images
10. Bayesian automated target recognition
11. Prior learning and Gibbs reaction-diffusion