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Dr. Chen Sagiv | SceneNet using the power of crowd sourcing for 3D Reconstruction of videos

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Published on Jun 11, 2014

SceneNet using the power of crowd sourcing for 3D Reconstruction of videos
Dr. Chen Sagiv, SagivTech and SceneNet coordinator
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The aim of SceneNet is to use the power of crowd sourcing, in the form of multiple mobile phone users, to create a higher quality 3D video scene experience that can be shared via social networks. A typical SceneNet scenario can be a rock concert, a sports event, a private or a public ceremony, breaking news events and any other multiple mobile users' crowded event.

The SceneNet pipeline starts at the mobile device where the video streams are acquired, pre-processed and transmitted along with a tagging identity to the server. At the server, the various video streams are registered and synchronized and then submitted to 3D reconstruction to generate a multi-view video scene that can be edited and shared by the users.

In this talk we will give an overview of the SceneNet project and the technologies we develop in order to facilitate it, from mobile computing to 3D reconstruction and GPU computing.

This project is done in collaboration between SagivTech, Ecole Polytechnique de Lausanne (EPFL) and the University of Bremen.
This project is funded by the European Union under the 7th Research Framework, programme FET-Open SME, Grant agreement no. 309169.
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