Dynamic 2D/3D Registration

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dc.contributor.authorBouaziz, Sofienen_US
dc.contributor.authorTagliasacchi, Andreaen_US
dc.contributor.authorPauly, Marken_US
dc.contributor.editorNicolas Holzschuch and Karol Myszkowskien_US
dc.date.accessioned2014-12-16T07:13:52Z
dc.date.available2014-12-16T07:13:52Z
dc.date.issued2014en_US
dc.description.abstractImage and geometry registration algorithms are an essential component of many computer graphics and computer vision systems. With recent technological advances in RGB-D sensors, such as the Microsoft Kinect or Asus Xtion Live, robust algorithms that combine 2D image and 3D geometry registration have become an active area of research. The goal of this course is to introduce the basics of 2D/3D registration algorithms and to provide theoretical explanations and practical tools to design computer vision and computer graphics systems based on RGB-D devices. To illustrate the theory and demonstrate practical relevance, we briefly discuss three applications: rigid scanning, non-rigid modeling, and realtime face tracking. Our course targets researchers and computer graphics practitioners with a background in computer graphics and/or computer vision. An up-to-date version of the course notes as well as slides and source code can be found at http://lgg.epfl.ch/2d3dRegistration.en_US
dc.description.seriesinformationEurographics 2014 - Tutorialsen_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttps://doi.org/10.2312/egt.20141021en_US
dc.publisherThe Eurographics Associationen_US
dc.titleDynamic 2D/3D Registrationen_US
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