J
Jürgen Döllner
Researcher at Hasso Plattner Institute
Publications - 290
Citations - 4433
Jürgen Döllner is an academic researcher from Hasso Plattner Institute. The author has contributed to research in topics: Visualization & Rendering (computer graphics). The author has an hindex of 31, co-authored 253 publications receiving 3802 citations. Previous affiliations of Jürgen Döllner include University of Potsdam.
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Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet
Jorge Posada,Carlos Toro,Iñigo Barandiaran,David Oyarzun,Didier Stricker,Raffaele De Amicis,Eduardo B. Pinto,Peter Eisert,Jürgen Döllner,Ivan Vallarino +9 more
TL;DR: This article positions visual computing in its intrinsic crucial role for Industrie 4.0 and provides a general, broad overview and points out specific directions and scenarios for future research.
Journal ArticleDOI
Image and Video Abstraction by Anisotropic Kuwahara Filtering
TL;DR: A non‐photorealistic rendering technique to transform color images and videos into painterly abstractions based on a generalization of the Kuwahara filter that is adapted to the local shape of features, derived from the smoothed structure tensor.
Image Abstraction by Structure Adaptive Filtering
TL;DR: This method extends the approach of [Winnemöller et al. 2006] to use iterated bilateral filtering for abstraction and difference-of-Gaussians (DoG) for edge extraction by adapting it to the local orientation of the input.
Journal ArticleDOI
Abstract representations for interactive visualization of virtual 3D city models
Tassilo Glander,Jürgen Döllner +1 more
TL;DR: This work presents a technique to automatically generalize a given virtual 3D city model consisting of building models, an infrastructure network and optional land coverage data, and creates several representations of increasing levels of abstraction.
Proceedings ArticleDOI
Interactive 3D visualization of vector data in GIS
Oliver Kersting,Jürgen Döllner +1 more
TL;DR: A new technique for vector-data display is presented that is able to precisely and efficiently map vector data on 3D objects such as digital terrain models.