A benchmark for best view selection of 3D objects

  • Authors:

  • Helin Dutagaci;Chun Pan Cheung;Afzal Godil

  • Affiliations:

  • National Institute of Standards and Technology, Gaithersburg, MD, USA;National Institute of Standards and Technology, Gaitersburg, MD, USA;National Institute of Standards and Technology, Gaithersburg, MD, USA

  • Venue:
  • Proceedings of the ACM workshop on 3D object retrieval
  • Year:
  • 2010

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Abstract

The best view selection corresponds to the task of automatically selecting the most representative view of a 3D model. In this paper, we describe a benchmark for evaluation of best view selection algorithms. The benchmark consists of the preferred views of 68 3D models provided by 26 human subjects. The data was collected using a web-based subjective experiment where the users were asked to select the most informative view of a 3D model. We provided a quantitative evaluation measure based on this ground truth data, and compared the performances of seven best view selection algorithms.