DocumentCode
1467209
Title
Probability models for clutter in natural images
Author
Grenander, Ulf ; Srivastava, Anuj
Author_Institution
Div. of Appl. Math., Brown Univ., Providence, RI, USA
Volume
23
Issue
4
fYear
2001
fDate
4/1/2001 12:00:00 AM
Firstpage
424
Lastpage
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
Keywords
computer vision; object recognition; probability; 2D projected views; 3D real objects; analytical density; clutter; multidimensional densities; natural images; probability models; Context modeling; Face detection; Image edge detection; Image recognition; Image texture analysis; Object recognition; Performance analysis; Pixel; Probability; Shape;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.917579
Filename
917579
Link To Document