@inproceedings{95e118975c864e72a60b701247029779,
title = "Where is the hole punch? Object localization capabilities on a specific bureau task",
abstract = "In this paper, knowledge-based recognition of objects in a bureau scene is studied and compared using two different systems on a common dataset: In the first system active scene exploration is based on semantic networks and an A*-control algorithm which uses color cues and 2-d image segmentation into regions. The other system is based on production nets and uses line extraction and views of 3-d polyhedral models. For the latter a new probabilistic foundation is given. In the experiments, wide-angle overviews are used to generate hypotheses. The active component then takes close-up views which are verified exploiting the knowledge bases, i.e. either the semantic network or the production net.",
author = "E. Michaelsen and U. Ahlrichs and U. Stilla and D. Paulus and H. Niemann",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 23rd German Association for Pattern Recognition Symposium, DAGM 2001 ; Conference date: 12-09-2001 Through 14-09-2001",
year = "2001",
doi = "10.1007/3-540-45404-7_45",
language = "English",
isbn = "3540425969",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "337--344",
editor = "Bernd Radig and Stefan Florczyk",
booktitle = "Pattern Recognition - 23rd DAGM Symposium, Proceedings",
}