Interpreting structures in man-made scenes: Combining low-level and high-level structure sources

Kasim Terzić*, Lothar Hotz, Jan Šochman

*Corresponding author for this work

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

8 Citations (Scopus)

Abstract

Recognizing structure is an important aspect of interpreting many computer vision domains. Structure can manifest itself both visually, in terms of repeated low-level phenomena, and conceptually, in terms of a high-level compositional hierarchy. In this paper, we demonstrate an approach for combining a low-level repetitive structure detector with a logical high-level interpretation system. We evaluate the performance on a set of images from the building facade domain.

Original languageEnglish
Title of host publicationICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings
Pages357-364
Number of pages8
Volume1
Publication statusPublished - 9 Sept 2010
Event2nd International Conference on Agents and Artificial Intelligence, ICAART 2010 - Valencia, Spain
Duration: 22 Jan 201024 Jan 2010

Conference

Conference2nd International Conference on Agents and Artificial Intelligence, ICAART 2010
Country/TerritorySpain
CityValencia
Period22/01/1024/01/10

Keywords

  • Computer vision
  • High-level vision
  • Image processing
  • Scene interpretation

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