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Image interpolation for virtual sports scenarios

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Abstract

View interpolation has been explored in the scientific community as a means to avoid the complexity of full 3D in the construction of photo-realistic interactive scenarios. EVENTS project attempts to apply state of the art view interpolation to the field of professional sports. The aim is to populate a wide scenario such as a stadium with a number of cameras and, via computer vision, to produce photo-realistic moving or static images from virtual viewpoints, i.e where there is no physical camera.

EVENTS proposes an innovative view interpolation scheme based on the Joint View Triangulation algorithm developed by the project participants. Joint View Triangulation is combined within the EVENTS framework with new initiatives in the field of multiple view layered representation, automatic seed matching, image-based rendering, tracking occluding layers and constrained scene analysis. The computer vision software has been implemented on top of a novel high performance computing platform with the aim to achieve real-time interpolation.

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Authors and Affiliations

  1. R&D Department, Eptron SA., Madrid, Spain

    Tomás Rodríguez

  2. Department of Engineering Science, Oxford University, UK

    Ian Reid

  3. INRIA Rhône-Alpes, Montbonnot, France

    Radu Horaud & Navneet Dalal

  4. C-Lab, Paderborn, Germany

    Marcelo Goetz

Authors
  1. Tomás Rodríguez
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  2. Ian Reid
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  3. Radu Horaud
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  4. Navneet Dalal
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  5. Marcelo Goetz
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Corresponding author

Correspondence to Tomás Rodríguez.

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Rodríguez, T., Reid, I., Horaud, R. et al. Image interpolation for virtual sports scenarios. Machine Vision and Applications 16, 236–245 (2005). https://doi.org/10.1007/s00138-005-0177-6

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  • DOI: https://doi.org/10.1007/s00138-005-0177-6

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