Computer graphics, “image synthesis”, is an essential core discipline of “visual computing”. In this field, our researchers are developing procedures and technologies in order to visualize information virtually in the form of images.
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more infoIn order to represent real objects in the virtual world as well, our researchers are analyzing and interpreting real images, converting them into information. This requires special digitalization procedures and augmented-reality technologies which are developed in this research field.
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more infoThe interaction between human and machine is becoming increasingly similar to the natural behavior of man. However, technology is not to replace but support us. Therefore, our researchers are developing technologies for a more effective collaboration between human and machine.
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more infoVirtual worlds offer many opportunities. Physical objects or physical phenomena can be virtually reproduced and visualized quickly and without any risk. Our researchers are developing methods in order to accelerate and directly influence simulation processes.
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more infoModels are an integral part of visual computing. They offer an abstract view of selected aspects of reality. There are different visualization options. Our researchers are therefore developing different model types such as 2D, 3D or higher dimensions for practical applications.
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more infoBy recognizing patterns and regularities, data is intelligently linked and conclusions are drawn. On this basis, we carry out image-based quality controls and set up automated data analyses in production chains. We also use Machine Learning for medical applications such as diagnostic procedures, for counting fish stocks or for VR and AR technologies.
Why Machine Learning & Artificial Intelligence?
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