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  Functional Object Class Detection Based on Learned Affordance Cues

Stark, M., Lies, P., Zillich, M., Wyatt, J., & Schiele, B. (2008). Functional Object Class Detection Based on Learned Affordance Cues. In A. Gasteratos, M. Vincze, & J. K. Tsotsos (Eds.), Computer Vision Systems (pp. 435-444). Berlin: Springer. doi:10.1007/978-3-540-79547-6_42.

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 Creators:
Stark, Michael1, Author           
Lies, Philipp1, Author
Zillich, Michael1, Author
Wyatt, Jeremy1, Author
Schiele, Bernt1, Author                 
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1External Organizations, ou_persistent22              

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 Abstract: Current approaches to visual object class detection mainly focus on the recognition of abstract object categories, such as cars, motorbikes, mugs and bottles. Although these approaches have demonstrated impressive performance in terms of recognition, their restriction to abstract categories seems artificial and inadequate in the context of embodied, cognitive agents. Here, distinguishing objects according to functional aspects based on object affordances is vital for a meaningful human-machine interaction. In this paper, we propose a complete system for the detection of functional object classes, based on a representation of visually distinct hints on object affordances (affordance cues). It spans the complete cycle from tutor-driven acquisition of affordance cues, one-shot learning of corresponding object models, and detecting novel instances of functional object classes in real images.</p>

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Language(s): eng - English
 Dates: 20082008-05
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: stark08icvs
DOI: 10.1007/978-3-540-79547-6_42
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Title: 6th International Conference on Computer Vision Systems
Place of Event: Fira, Santorini, Greece
Start-/End Date: 2008-05-12 - 2008-05-15

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Title: Computer Vision Systems
  Subtitle : 6th International Conference, ICVS 2008 ; Santorini, Greece, May 12-15, 2008 ; Proceedings
  Subtitle : ICVS 2008
Source Genre: Proceedings
 Creator(s):
Gasteratos, Antonios1, Editor
Vincze, Markus1, Editor
Tsotsos, John K.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 435 - 444 Identifier: ISBN: 3-540-79546-4

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
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Pages: - Volume / Issue: 5008 Sequence Number: - Start / End Page: - Identifier: -