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Detecting Fine-Grained Affordances with an Anthropomorphic Agent Model

  • Viktor SeibEmail author
  • Nicolai Wojke
  • Malte Knauf
  • Dietrich Paulus
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8926)

Abstract

In this paper we propose an approach to distinguish affordances on a fine-grained scale. We define an anthropomorphic agent model and parameterized affordance models. The agent model is transformed according to affordance parameters to detect affordances in the input data. We present first results on distinguishing two closely related affordances derived from sitting. The promising results support our concept of fine-grained affordance detection.

Keywords

Affordances Fine-grained affordances Visual affordance detection Object classification 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Viktor Seib
    • 1
    Email author
  • Nicolai Wojke
    • 1
  • Malte Knauf
    • 1
  • Dietrich Paulus
    • 1
  1. 1.Active Vision Group (AGAS)University of Koblenz-LandauKoblenzGermany

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