Integrating multiple depth sensors into the virtual video camera Kai Ruhl, Kai Berger, Christian Lipski, Felix Klose, Yannic Schröder, Alexander Scholz, Marcus Magnor

Kai Ruhl, Kai Berger, Christian Lipski, Felix Klose, Yannic Schröder, Alexander Scholz, and Marcus Magnor: "Integrating multiple depth sensors into the virtual video camera", Poster at Siggraph, August 2011. SIGGRAPH '11: ACM SIGGRAPH 2011 Posters Part of projects "Multiple Kinect Studies", "Virtual Video Camera", and "Who Cares?". [pdf] [bib]

Abstract

In this ongoing work, we present our efforts to incorporate Microsoft Kinect depth sensors into a multi camera system for free view-point video. Both the video cameras and the depth sensors are consumer grade. Our free-viewpoint system, the Virtual Video Camera, uses image-based rendering to create novel views between widely spaced (up to 15 degrees) cameras, using dense image correspondences. The introduction of multiple depth sensors into the system allows us to obtain approximate depth information for many pixels, thereby providing a valuable hint for estimating pixel correspondences between cameras.

TU Braunschweig - Fakultät für Mathematik und Informatik - Computer Graphics - Publications - Integrating multiple depth sensors into the virtual video camera