NDLI: Modern techniques and applications for real-time non-rigid registration

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Modern techniques and applications for real-time non-rigid registration

Content Provider	ACM Digital Library
Author	Li, Hao Bouaziz, Sofien Tagliasacchi, Andrea Pauly, Mark
Abstract	Registration algorithms are an essential component of many computer graphics and computer vision systems. With recent technological advances in RGBD sensors (color plus depth), an active area of research is in techniques combining color, geometry, and learnt priors for robust real-time registration. The goal of this course is to introduce the mathematical foundations and theoretical explanation of registration algorithms, in addition to the practical tools to design systems that leverage information from RGBD devices. We present traditional methods for correspondence computation derived from geometric first principles, along with modern techniques leveraging pre-processing of annotated datasets (e.g. deep neural networks). To illustrate the practical relevance of the theoretical content, we discuss applications including static and dynamic scanning/reconstruction as well as real-time tracking of hands and faces. An up-to-date version of the course notes, as well as slides and source code can be found at http://gfx.uvic.ca/teaching/registration.
Starting Page	1
Ending Page	25
Page Count	25
File Format	PDF
ISBN	9781450345385
DOI	10.1145/2988458.2988490
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-11-28
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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