Name
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. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/34.917579 | IEEE Trans. Pattern Anal. Mach. Intell. |
Keywords | Field | DocType |
probability models,natural images,analytical density,observed density,multidimensional density,natural image,pixel,object recognition,probability,clutter,face detection,context modeling,image recognition,shape,computer vision,physical model | Computer vision,Histogram,Pattern recognition,Clutter,Computer science,Artificial intelligence,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
23 | 4 | 0162-8828 |
Citations | PageRank | References |
66 | 7.03 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ulf Grenander | 1 | 308 | 80.59 |
| Anuj Srivastava | 2 | 2853 | 199.47 |