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dc.contributor.author	Lamboray, Edouard
dc.contributor.author	Würmlin, Stephan
dc.contributor.author	Waschbüsch, Michael
dc.contributor.author	Gross, Markus
dc.contributor.author	Pfister, Hanspeter
dc.date.accessioned	2011-02-15T20:48:03Z
dc.date.issued	2004
dc.identifier.citation	Lamboray, Edouard, Stephan Würmlin, Michael Waschbüsch, Markus Gross, and Hanspeter Pfister. 2004. Unconstrained free-viewpoint video coding. Proceedings: International Conference on Image Processing 5: 3261-3264.	en_US
dc.identifier.issn	1522-4880	en_US
dc.identifier.uri	http://nrs.harvard.edu/urn-3:HUL.InstRepos:4726194
dc.description.abstract	In this paper, we present a coding framework addressing image-space compression for free-viewpoint video. Our framework is based on time-varying 3D point samples which represent real-world objects. The 3D point samples are obtained after a geometrical reconstruction from multiple pre-recorded video sequences and thus allow for arbitrary viewpoints during playback. The encoding of the data is performed as an off-line process and is not time-critical. The decoding however, must support for real-time rendering of the dynamic 3D data. We introduce a compression framework which encodes multiple point attributes like depth and color into progressive streams. The reference data structure is aligned on the original camera input images and thus enables for easy view-dependent decoding. A novel differential coding approach permits random access in constant time throughout the entire data set and thus enables arbitrary viewpoint trajectories in both time and space.	en_US
dc.description.sponsorship	Engineering and Applied Sciences	en_US
dc.language.iso	en_US	en_US
dc.publisher	Institute of Electrical and Electronics Engineers	en_US
dc.relation.isversionof	doi:10.1109/ICIP.2004.1421809	en_US
dc.relation.hasversion	http://gvi.seas.harvard.edu/sites/all/files/icip04.pdf	en_US
dash.license	LAA
dc.title	Unconstrained Free-Viewpoint Video Coding	en_US
dc.type	Journal Article	en_US
dc.description.version	Accepted Manuscript	en_US
dc.relation.journal	Proceedings: International Conference on Image Processing	en_US
dash.depositing.author	Pfister, Hanspeter
dc.date.available	2011-02-15T20:48:03Z

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  Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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