English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  What is the goal of early visual processing?

Bethge, M. (2006). What is the goal of early visual processing?. Talk presented at Universität Osnabrück: Institute of Cognitive Science Colloquium. Osnabrück, Germany. 2006-10-25.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Bethge, M1, 2, Author           
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
2Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497795              

Content

show
hide
Free keywords: -
 Abstract: Translating the information carried by the retinal image into a more useful representation is generally thought of as being an important goal of early processing in biological vision. During the last decade many models have been proposed which aim at deriving filters whose shapes resemble prominent properties of receptive fields in the early visual pathways. The filters in these models are determined by optimizing a certain objective function. While the use of optimalityprinciples seems to imply a superior performance of these filters for scene analysis and object recognition, it lacks thorough verification of this supposition. Minimization of the statistical higher-order dependencies between the filter outputs (ICA) has been used to derive localized, oriented, and bandpass filters, resembling the receptive fields of simple cells in V1. A quantitative analysis of the reduction of statistical dependencies achieved with this model, however, reveals only a small improvement in comparison with arbitrary second-order decorrelation filters. In addition, I will present psychophysical results, showing that, perceptually, the independent components of natural images exhibit even more dependencies than the non-localized basis functions of the discrete cosine transform used in image compression. Finally, I will present a slightly different objective which similarly leads to localized, oriented, and bandpass image filters but rather seeks to divide the sensory information into different clusters of similar image content.

Details

show
hide
Language(s):
 Dates: 2006-10
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

Event

show
hide
Title: Universität Osnabrück: Institute of Cognitive Science Colloquium
Place of Event: Osnabrück, Germany
Start-/End Date: 2006-10-25
Invited: Yes

Legal Case

show

Project information

show

Source

show