dc.contributor.author	Chang, Will	en_US
dc.contributor.author	Li, Hao	en_US
dc.contributor.author	Mitra, Niloy	en_US
dc.contributor.author	Pauly, Mark	en_US
dc.contributor.author	Wand, Michael	en_US
dc.contributor.editor	Renato Pajarola and Michela Spagnuolo	en_US
dc.date.accessioned	2013-11-08T10:30:24Z
dc.date.available	2013-11-08T10:30:24Z
dc.date.issued	2012	en_US
dc.description.abstract	Throughout the last few years, acquisition and processing of dynamic geometry has already received quite an amount of attention in the computer vision and graphics research community. Recently, the topic has gained a significant boost due to the availability of commodity devices for dynamic geometry acquisition: The introduction of the Microsoft ''Kinect'' device made this kind of technology broadly available, being very well received by both researchers and end-users, and even more development in this direction can probably be expected for the near future. The tutorial on ''Dynamic Geometry Processing'' considers the problem of processing such dynamic range data effectively and efficiently. The tutorial introduces basic processing techniques for analyzing and matching range data. It introduces models for correspondence estimation and presents the according basic algorithmic building blocks. Furthermore, it discusses the current state-of-the-art by looking at example approaches for processing and real-time tracking of dynamic data. In addition, the tutorial will also identify and discuss future challenges in the field, aiming at inspiring future work in this exciting area of research.	en_US
dc.description.seriesinformation	Eurographics 2012 - Tutorials	en_US
dc.identifier.issn	1017-4656	en_US
dc.identifier.uri	https://doi.org/10.2312/conf/EG2012/tutorials/t3	en_US
dc.publisher	The Eurographics Association	en_US
dc.title	Dynamic Geometry Processing	en_US

Dynamic Geometry Processing

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