EG 2021 - Tutorials
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Tutorials
Inverse Computational Spectral Geometry
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Emanuele Rodolà, Simone Melzi, Luca Cosmo, Michael Bronstein, and Maks Ovsjanikov
Volumetric Video - Acquisition, Compression, Interaction and Perception
Eduard Zell, Fabien Castan, Simone Gasparini, Anna Hilsmann, Misha Kazhdan, Andrea
Tagliasacchi, Dimitris Zarpalas, and Nick Zioulis
Visualization and Graphics in Mixed Reality
Denis Kalkofen, Shohei Mori, and Markus Tatzgern
CUDA and Applications to Task-based Programming
Michael Kenzel, Bernhard Kerbl, Martin Winter, and Markus Steinberger
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Item Inverse Computational Spectral Geometry(The Eurographics Association, 2021) Rodolà, Emanuele; Melzi, Simone; Cosmo, Luca; Bronstein, Michael; Ovsjanikov, Maks; O'Sullivan, Carol and Schmalstieg, DieterIn the last decades, geometry processing has attracted a growing interest thanks to the wide availability of new devices and software that make 3D digital data available and manipulable to everyone. Typical issues that are faced by geometry processing algorithms include the variety of discrete representations for 3D data (point clouds, polygonal or tet-meshes and voxels), or the type of deformation this data may undergo. Powerful approaches to address these issues come from looking at the spectral decomposition of canonical differential operators, such as the Laplacian, which provides a rich, informative, robust, and invariant representation of the 3D objects. Reasoning about spectral quantities is at the core of spectral geometry, which has enabled unprecedented performance in many tasks of computer graphics (e.g., shape matching with functional maps, shape retrieval, compression, and texture transfer), as well as contributing in opening new directions of research. The focus of this tutorial is on inverse computational spectral geometry. We will offer a different perspective on spectral geometric techniques, supported by recent successful methods in the graphics and 3D vision communities, as well as older, but notoriously overlooked results. Here, the interest shifts from studying the “forward” path typical of spectral geometry pipelines (e.g., computing Laplacian eigenvalues and eigenvectors of a given shape) to studying the inverse path (e.g., recovering a shape from given Laplacian eigenvalues, like in the classical “hearing the shape of the drum” problem). As is emblematic of inverse problems, the ill-posed nature of the reverse direction requires additional effort, but the benefits can be quite considerable as showcased on several challenging tasks in graphics and geometry processing. The purpose of the tutorial is to overview the foundations and the current state of the art on inverse computational spectral geometry, to highlight the main benefits of inverse spectral pipelines, as well as their current limitations and future developments in the context of computer graphics. The tutorial is aimed at a wide audience with a basic understanding of geometry processing, and will be accessible and interesting to students, researchers and practitioners from both the academia and the industry.Item Volumetric Video - Acquisition, Compression, Interaction and Perception(The Eurographics Association, 2021) Zell, Eduard; Castan, Fabien; Gasparini, Simone; Hilsmann, Anna; Kazhdan, Misha; Tagliasacchi, Andrea; Zarpalas, Dimitris; Zioulis, Nick; O'Sullivan, Carol and Schmalstieg, DieterVolumetric video, free-viewpoint video or 4D reconstruction refer to the process of reconstructing 3D content over time using a multi-view setup. This method is constantly gaining popularity both in research and industry. In fact, volumetric video is more and more considered to acquire dynamic photorealistic content instead of relying on traditional 3D content creation pipelines. The aim of the tutorial is to provide an overview of the entire volumetric video pipeline. Furthermore, it presents existing projects that may serve as a starting point to this topic at the intersection of computer vision and graphics. The first part of the tutorial will focus on the process of computing 3D models from captured videos. Topics will include content acquisition with affordable hardware, photogrammetry, and surface reconstruction from point clouds. A remarkable contribution of the presenters to the graphics community is that they will not only provide an overview of their topic but have in addition open sourced their implementations. Topics of the second part will focus on usage and distribution of volumetric video, including data compression, streaming or post-processing like pose-modification or seamless blending. The tutorial will conclude with an overview of perceptual studies focusing on quality assessment of 3D and 4D content.Item Visualization and Graphics in Mixed Reality(The Eurographics Association, 2021) Kalkofen, Denis; Mori, Shohei; Tatzgern, Markus; O'Sullivan, Carol and Schmalstieg, DieterThis tutorial will present the challenges and unique aspects of mixed reality visualization applications such as organization of data for visualization, real-world data sources for visualization, real time photo-realistic rendering techniques, diminished reality rendering techniques and cognitive and perceptual issues. We are also interested in ways that the existing body of research in the graphics and visualization community can be applied in this research area. We expect the tutorial to be a working event with both presentation of state-of- the-art followed by lively discussion about the key issues and challenges in this research area. Our tutorial is open both for academia and industry, and expected to be a community hub for both areas that are interested in an introduction to the unique challenges of mixed reality visualization. We welcome a diverse audience consisting of students, researchers and developers that have a basic understanding of computer graphics and computer vision.Item CUDA and Applications to Task-based Programming(The Eurographics Association, 2021) Kenzel, Michael; Kerbl, Bernhard; Winter, Martin; Steinberger, Markus; O'Sullivan, Carol and Schmalstieg, DieterSince its inception, the CUDA programming model has been continuously evolving. Because the CUDA toolkit aims to consistently expose cutting-edge capabilities for general-purpose compute jobs to its users, the added features in each new version reflect the rapid changes that we observe in GPU architectures. Over the years, the changes in hardware, growing scope of built-in functions and libraries, as well as an advancing C++ standard compliance have expanded the design choices when coding for CUDA, and significantly altered the directives to achieve peak performance. In this tutorial, we give a thorough introduction to the CUDA toolkit, demonstrate how a contemporary application can benefit from recently introduced features and how they can be applied to task-based GPU scheduling in particular. For instance, we will provide detailed examples of use cases for independent thread scheduling, cooperative groups, and the CUDA standard library, libcu++, which are certain to become an integral part of clean coding for CUDA in the near future. https://cuda-tutorial.github.io/Item EUROGRAPHICS 2021: Tutorials Frontmatter(Eurographics Association, 2021) O'Sullivan, Carol; Schmalstieg, Dieter; O'Sullivan, Carol and Schmalstieg, Dieter