Image Interpolation for Virtual Sports Scenarios

Tomas Rodriguez 1 Ian Reid 2 Radu Horaud 3 Navneet Dalal Marcelo Goetz 4
3 PERCEPTION - Interpretation and Modelling of Images and Videos
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
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 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.
Type de document :
Article dans une revue
Machine Vision and Applications, Springer Verlag, 2005, 16 (4), pp.236--245. 〈10.1007/s00138-005-0177-6〉
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https://hal.inria.fr/inria-00590186
Contributeur : Team Perception <>
Soumis le : mardi 3 mai 2011 - 09:29:58
Dernière modification le : jeudi 26 juillet 2018 - 15:20:10

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Tomas Rodriguez, Ian Reid, Radu Horaud, Navneet Dalal, Marcelo Goetz. Image Interpolation for Virtual Sports Scenarios. Machine Vision and Applications, Springer Verlag, 2005, 16 (4), pp.236--245. 〈10.1007/s00138-005-0177-6〉. 〈inria-00590186〉

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