High-level expectations for low-level image processing

Lothar Hotz*, Bernd Neumann, Kasim Terzic

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Scene interpretation systems are often conceived as extensions of low-level image analysis with bottom-up processing for high-level interpretations. In this contribution we show how a generic high-level interpretation system can generate hypotheses and initiate feedback in terms of top-down controlled low-level image analysis. Experimental results are reported about the recognition of structures in building facades.

Original languageEnglish
Title of host publicationKI 2008
Subtitle of host publicationAdvances in Artificial Intelligence - 31st Annual German Conference on AI, KI 2008, Proceedings
Pages87-94
Number of pages8
DOIs
Publication statusPublished - 27 Nov 2008
Event31st Annual German Conference on Artificial Intelligence, KI 2008 - Kaiserslautern, Germany
Duration: 23 Sept 200826 Sept 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5243 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference31st Annual German Conference on Artificial Intelligence, KI 2008
Country/TerritoryGermany
CityKaiserslautern
Period23/09/0826/09/08

Fingerprint

Dive into the research topics of 'High-level expectations for low-level image processing'. Together they form a unique fingerprint.

Cite this