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Visualisation Techniques for Using Spatial Augmented Reality in the Design Process of a Car
Authors:Christoffer Menk  Eduard Jundt  Reinhard Koch
Affiliation:1. Volkswagen Group Research, Wolfsburg, Germany {christoffer.menk@volkswagen.de, eduard.jundt@volkswagen.de};2. Institute of Computer Science, Christian‐Albrechts‐University of Kiel, Germany rk@mip.informatik.uni‐kiel.de
Abstract:If spatial augmented reality is used in the design process of a car, then one of the most important issues is that the virtual content is projected with a very high visual quality onto the real object, because based on this projection design decisions are made. Especially, the visualised colours on the real object should not be distinguishable from corresponding real reference colours. In this paper, we introduce a new approach for the augmentation of real objects which is able to match the requirements of a design process. We present a new rendering method with ray tracing which increases the visual quality of the projection images in comparison to existing methods. The desired values of these images have further to be adjusted according to the material, the ambient light and the local orientation of the projector. For this purpose, we develop a physically based computation which exactly determines the corresponding projection intensities for these values by using three‐dimensional lookup tables at every projector pixel. Since not all of the desired values can be represented with an intensity of the projector, an adjustment has to be computed for these values. Therefore, we conduct a user study with design experts who work in the automotive industry and use the results to propose a new adjustment method for such values. Finally, we compare our methods to existing procedures and conclude which ones are suitable for the design process of a car.
Keywords:virtual and augmented reality  ray tracing  radiometric compensation  projector‐camera‐systems  I.3.3 [Computer Graphics]: Picture/Image Generation—  I.4.8 [Image Processing and Computer Vision]: Scene Analysis—  I.4.9 [Image Processing and Computer Vision]: Applications
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