Real-time cartoon-like stylization of AR video streams on the GPU

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Dokumentart: Report
Date: 2005
Source: WSI ; 2005 ; 18
Language: English
Faculty: 7 Mathematisch-Naturwissenschaftliche Fakultät
Department: Sonstige - Informations- und Kognitionswissenschaften
DDC Classifikation: 004 - Data processing and computer science
Keywords: Erweiterte Realität <Informatik> , Computergraphik , Rendering
Other Keywords: Nicht-photorealistisches Rendering
Non-Photorealistic Rendering , Cartoon-like stylization
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The ultimate goal of many applications of augmented reality is to immerse the user into the augmented scene, which is enriched with virtual models. In order to achieve this immersion, it is necessary to create the visual impression that the graphical objects are a natural part of the user’s environment. Producing this effect with conventional computer graphics algorithms is a complex task. Various rendering artifacts in the three-dimensional graphics create a noticeable visual discrepancy between the real background image and virtual objects. We have recently proposed a novel approach to generating an augmented video stream. With this new method, the output images are a non-photorealistic reproduction of the augmented environment. Special stylization methods are applied to both the background camera image and the virtual objects. This way the visual realism of both the graphical foreground and the real background image is reduced, so that they are less distinguishable from each other. Here, we present a new method for the cartoon-like stylization of augmented reality images, which uses a novel post-processing filter for cartoon-like color segmentation and high-contrast silhouettes. In order to make a fast postprocessing of rendered images possible, the programmability of modern graphics hardware is exploited. We describe an implementation of the algorithm using the OpenGL Shading Language. The system is capable of generating a stylized augmented video stream of high visual quality at real-time frame rates. As an example application, we demonstrate the visualization of dinosaur bone datasets in stylized augmented reality.

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