G
Gerhard Sagerer
Researcher at Bielefeld University
Publications - 281
Citations - 5817
Gerhard Sagerer is an academic researcher from Bielefeld University. The author has contributed to research in topics: Mobile robot & Social robot. The author has an hindex of 37, co-authored 281 publications receiving 5585 citations. Previous affiliations of Gerhard Sagerer include University of Erlangen-Nuremberg & Daimler AG.
Papers
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Book ChapterDOI
A Structural Framework for Assembly Modeling and Recognition
TL;DR: This paper presents and evaluates a framework for visual assembly recognition that combines different structural techniques and demonstrates that recognizing mechanical assemblies is among these problems.
Journal Article
Semantic Models and Object Recognition in Computer Vision
Selective Visual Perception Driven by Cues from Speech Processing
R. Moratz,Hans-Jürgen Eikmeyer,B. Hildebrandt,Alois Knoll,Franz Kummert,Gert Rickheit,Gerhard Sagerer +6 more
TL;DR: At the University of Bielefeld within the framework of the colloborative research center Situ ated Arti cial Communicators SFB an integrative system of vision and speech under standing is developed.
Selective Visual Perception Driven by Cues from Speech Processing (book version)
R. Moratz,Hans-Jürgen Eikmeyer,Bernd Hildebrandt,Alois Knoll,Franz Kummert,Gert Rickheit,Gerhard Sagerer +6 more
Abstract: At the University of Bielefeld within the framework of the colloborative research center Situ ated Arti cial Communicators SFB an integrative system of vision and speech under standing is developed By the term arti cial communicators we mean formal systems which reconstruct the behaviour of natural communicators in relevant aspects Since most cognitive skills are situation dependent the SFB s research has concentrated on a speci c basis scenario The subject of this scenario is a task orientated discourse about construction acts The cooper ative assembly of a model aeroplane from construction kit parts see Figure is the long term goal
Book ChapterDOI
Integrating Recognition Paradigms in a Multiple-Path Architecture
Gerhard Sagerer,Christian Bauckhage,Elke Braun,Gunther Heidemann,Franz Kummert,Helge Ritter,Daniel Schlüter +6 more
TL;DR: This paper proposes an architecture that combines the advantages of different paradigms in pattern recognition and Voting and Bayesian networks provide a computational framework to integrate approaches to knowledge based and probabilistic reasoning as well as neural computations.