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An evaluation of 3-D scene exploration using a multiperspective image framework

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Abstract

Multiperspective images (MPIs) show more than what is visible from a single viewpoint and are a promising approach for alleviating the problem of occlusions. We present a comprehensive user study that investigates the effectiveness of MPIs for 3-D scene exploration. A total of 47 subjects performed searching, counting, and spatial orientation tasks using both conventional and multiperspective images. We use a flexible MPI framework that allows trading off disocclusion power for image simplicity. The framework also allows rendering MPI images at interactive rates, which enables investigating interactive navigation and dynamic 3-D scenes. The results of our experiments show that MPIs can greatly outperform conventional images. For searching, subjects performed on average 28% faster using an MPI. For counting, accuracy was on average 91% using MPIs as compared to 42% for conventional images.

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Authors and Affiliations

  1. Scientific Computing and Imaging Institute, University of Utah, 72 S Central Campus Drive, Room 3750, Salt Lake City, UT, 84112, USA

    Paul Rosen

  2. Computer Science Department, Purdue University, 305 N. University Street, West Lafayette, IN, 47907, USA

    Voicu Popescu

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  1. Paul Rosen
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  2. Voicu Popescu
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Correspondence to Paul Rosen.

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Rosen, P., Popescu, V. An evaluation of 3-D scene exploration using a multiperspective image framework. Vis Comput 27, 623–632 (2011). https://doi.org/10.1007/s00371-011-0599-2

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