English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  A computational recognition system grounded in perceptual research

Wallraven, C. (2007). A computational recognition system grounded in perceptual research. Berlin, Germany: Logos Verlag.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-CC31-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-F3E9-5
Genre: Book

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Wallraven, C1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: In this thesis a computational framework for visual object recognition is developed, which is based on results from perceptual research. The motivation for this approach is given by the fact that despite several decades of research in the field of computer vision, there still exists no recognition system which is able to match the visual performance of humans (or other primates). The apparent ease with which visual tasks such as recognition and categorization are solved by humans is testimony of a highly optimized visual system which not only exhibits excellent robustness and generalization capabilities but is in addition highly flexible in learning and organizing new data. In developing the framework, the underlying philosophy was to model object recognition on an abstract cognitive level rather than supplying a complete neurophysiologically plausible implementation. The proposed framework is able to model results from psychophysics and, in addition, delivers excellent recognition performance in computational recognition experiments. Furthermore, the framework also interfaces well with advanced classification schemes from machine learning thus further broadening the scope of application.

Details

show
hide
Language(s):
 Dates: 2007
 Publication Status: Published in print
 Pages: 190
 Publishing info: Berlin, Germany : Logos Verlag
 Table of Contents: -
 Rev. Method: -
 Identifiers: ISBN: 978-3-8325-1662-8
BibTex Citekey: 5605
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: MPI Series in Biological Cybernetics
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 19 Sequence Number: - Start / End Page: - Identifier: -