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Efficient Point Merging Using Data Parallel Techniques
(The Eurographics Association, 2019)
We study the problem of merging three-dimensional points that are nearby or coincident. We introduce a fast, efficient approach that uses data parallel techniques for execution in various shared-memory environments. Our ...
Statistical Analysis of Parallel Data Uploading using OpenGL
(The Eurographics Association, 2019)
Modern real-time visualizations of large-scale datasets require constant high frame rates while their datasets might exceed the available graphics memory. This requires sophisticated upload strategies from host memory to ...
Adaptive Block Coordinate Descent for Distortion Minimization
(The Eurographics Association, 2019)
We present a new unified algorithm for optimizing geometric energies and computing positively oriented simplicial mappings. Its major improvements over the state-of-the-art are: adaptive partition of vertices into coordinate ...
Generalizing Discrete Convolutions for Unstructured Point Clouds
(The Eurographics Association, 2019)
Point clouds are unstructured and unordered data, as opposed to images. Thus, most of machine learning approaches, developed for images, cannot be directly transferred to point clouds. It usually requires data transformation ...
Experiencing Art by Means of 3D Printed Replicas: Enriching the Interpretation of Pot Oiseau
(The Eurographics Association, 2019)
Digitally fabricated artefacts or 3D replicas have the potential to enrich the interpretation of cultural assets by enhancing visitors' engagement with collections. However, it is still not well understood how replicas ...