Name
Abstract | ||
|---|---|---|
The perception of an image by a human observer is usually modeled as a parallel process in which all parts of the image are treated more or less equivalently, but in reality the analysis of scenes is a highly selective procedure, in which only a small subset of image locations is processed by the precise and efficient neural machinery of foveal vision. To understand the principles behind this selection of the "informative" regions of images, we have developed a hybrid system that consists of a combination of a knowledge-based reasoning system with a low-level preprocessing by linear and nonlinear neural operators. This hybrid system is intended as a first step towards a complete model of the sensorimotor system of saccadic scene analysis. In the analysis of a scene, the system calculates in each step which eye movement has to be made to reach a maximum of information about the scene. The possible information gain is calculated by means of a parallel strategy which is suitable for adaptive reasoning. The output of the system is a fixation sequence, and finally, a hypothesis about the scene. (C) 2001 SPIE and IS&T. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1117/1.1329627 | JOURNAL OF ELECTRONIC IMAGING |
Keywords | Field | DocType |
top down,hybrid system,parallel processing,knowledge base,information gain,modeling,eye movement,bottom up | Computer vision,Saccadic suppression of image displacement,Pattern recognition,Computer science,Adaptive reasoning,Scene statistics,Eye movement,Foveal,Artificial intelligence,Saccadic masking,Reasoning system,Hybrid system | Journal |
Volume | Issue | ISSN |
10 | 1 | 1017-9909 |
Citations | PageRank | References |
36 | 3.16 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kerstin Schill | 1 | 183 | 25.15 |
| Elisabeth Umkehrer | 2 | 77 | 9.69 |
| Stephan Beinlich | 3 | 37 | 3.52 |
| Gerhard Krieger | 4 | 925 | 128.25 |
| C. Zetzsche | 5 | 181 | 26.79 |