English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Learning Eye Movements

Kienzle, W., Wichmann, F., Schölkopf, B., & Franz, M. (2006). Learning Eye Movements. Poster presented at Gordon Research Conference: Sensory Coding & the Natural Environment, Big Sky, MT, USA.

Item is

Files

show Files

Locators

show
hide
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Kienzle, W1, 2, Author           
Wichmann, FA1, 2, Author           
Schölkopf, B1, 2, Author           
Franz, MO1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: The human visual system samples images through saccadic eye movements which rapidly change the point of fixation. Although the selection of eye movement targets depends on numerous top-down mechanisms, a number of recent studies have shown that low-level image features such as local contrast or edges play an important role. These studies typically used predefined image features which were afterwards experimentally verified.
Here, we follow a complementary approach: instead of testing a set of candidate image features, we infer these hypotheses from the data, using methods from statistical learning. To this end, we train a non-linear classifier on fixated vs. randomly selected image patches without making any physiological assumptions. The resulting classifier can be essentially characterized by a nonlinear combination of two center-surround receptive fields. We find that the prediction performance of this simple model on our eye movement data is indistinguishable from the physiologically motivated model of Itti amp; Koch (2000) which is far more complex. In particular, we obtain a comparable performance without using any multi-scale representations, long-range interactions or oriented image features.

Details

show
hide
Language(s):
 Dates: 2006-09
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 4154
 Degree: -

Event

show
hide
Title: Gordon Research Conference: Sensory Coding & the Natural Environment
Place of Event: Big Sky, MT, USA
Start-/End Date: 2006-08-27 - 2006-09-01

Legal Case

show

Project information

show

Source

show