Shape recognition, with applications to a passive assistant

  • Authors:
  • Antonella Di Lillo;Giovanni Motta;Kevin Thomas;James A. Storer

  • Affiliations:
  • Brandeis University;Hewlett-Packard Co.;Brandeis University;Brandeis University

  • Venue:
  • Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
  • Year:
  • 2010

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Abstract

We address the problem of retrieving an object description, in the form of a silhouette, from a database of shapes, in a way that is robust with respect to translation, rotation, scale change, and distortion. Algorithms to solve this problem can be a key step in passive assistant software that receives information from available sensors and databases, and provides useful information about the local environment to a visually disabled user (where the assistant input may be in the form of audio). Experiments show significant gains in retrieval accuracy over previous work.