Content-based retrieval of 3d head models using a single face view query

  • Authors:

  • Pui Fong Yeung;Hau San Wong;Horace H. -S. Ip

  • Affiliations:

  • Image Computing Group, Department of Computer Science, City University of Hong Kong, Hong Kong;Image Computing Group, Department of Computer Science, City University of Hong Kong, Hong Kong;Image Computing Group, Department of Computer Science, City University of Hong Kong, Hong Kong

  • Venue:
  • PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
  • Year:
  • 2004

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Abstract

In this paper, we propose a new approach for 3D human head model retrieval using a single 2D face view only. In this way, the query can be conveniently specified in the form of a single portrait which is in most cases readily available, instead of a 3D model query which is difficult to construct, or text-based query which in general cannot describe the models adequately. To realize this approach, a mapping between the 2D face views and the 3D models needs to be established. In our case, 3D models are represented with a set of adaptive basis functions, while their corresponding 2D face views are characterized with a set of eigenface basis functions. In this way, a particular model and its associated face view can be identified by two separate set of expansion coefficients. To associate the two, we propose to exploit neural network techniques to identify a mapping. With this 2D-3D mapping, we can thus estimate a set of associated 3D expansion coefficients for the input query to retrieve the relevant models in the database.