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Now showing items 11-17 of 17
A Voxel-based Deep Learning Approach for Point Cloud Semantic Segmentation
(The Eurographics Association, 2019)
Semantic segmentation has been a research topic in computer vision for decades. This task has become a crucial challenge nowadays due to emergence of new technologies such as autonomous driving. Nonetheless, most existing ...
A Virtual Reality Front-end for City Modeling
(The Eurographics Association, 2019)
Current tools for city modeling, including those supporting procedural techniques, have a steep learning curve and require substantial user input and/or skills to create realistic 3D models of cities. In this paper we ...
A Virtual Reality Front-End for Earthquake Simulation
(The Eurographics Association, 2019)
Virtual Reality has traditionally been used in Cultural Heritage for giving to the final user an immersive experience over recreated scenarios, which usually have been designed and focused on static environment recreation. ...
Multispectral Registration, Undistortion and Tree Detection for Precision Agriculture
(The Eurographics Association, 2019)
Multi-lens multispectral cameras allow us to record multispectral information for a whole area of terrain, even though we may only need the vegetation data. Based on the intensity of each multispectral image we can retrieve ...
Structure-preserving Style Transfer
(The Eurographics Association, 2019)
Transferring different artistic styles to images while preserving their content is a difficult image processing task. Since the seminal deep learning approach of Gatys et al. [GEB16], many recent works have proposed different ...
CEIG 2019: Frontmatter
(Eurographics Association, 2019)
View-dependent Hierarchical Rendering of Massive Point Clouds through Textured Splats
(The Eurographics Association, 2019)
Nowadays, there are multiple available range scanning technologies which can capture extremely detailed models of realworld surfaces. The result of such process is usually a set of point clouds which can contain billions ...