Virtual View Synthesis of People from Multiple View Video
Starck, J and Hilton, A (2005) Virtual View Synthesis of People from Multiple View Video Graphical Models, 67 (6). 600 - 620. ISSN 1524-0703
Available under License : See the attached licence file.
Official URL: http://dx.doi.org/10.1016/j.gmod.2005.01.008
This paper addresses the synthesis of virtual views of people from multiple view image sequences. We consider the target area of the multiple camera “3D Virtual Studio” with the ultimate goal of capturing video-realistic dynamic human appearance. A mesh based reconstruction framework is introduced to initialise and optimise the shape of a dynamic scene for view-dependent rendering, making use of silhouette and stereo data as complementary shape cues. The technique addresses two key problems: (1) robust shape reconstruction; and (2) accurate image correspondence for view dependent rendering in the presence of camera calibration error. We present results against ground truth data in synthetic test cases and for captured sequences of people in a studio. The framework demonstrates a higher resolution in rendering compared to shape from silhouette and multiple view stereo.
|Additional Information:||NOTICE: this is the author’s version of a work that was accepted for publication in Graphical Models. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Graphical Models, 67(6), May 2005, DOI 10.1016/j.gmod.2005.01.008.|
|Divisions:||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing|
|Deposited By:||Symplectic Elements|
|Deposited On:||03 Feb 2012 11:39|
|Last Modified:||13 Jun 2013 14:47|
Repository Staff Only: item control page