• 3D printers are inherently limited in their ability to flawlessly reproduce the physical and visual material properties of a template. If the reproduction of the template is adjusted in such a way that physical flaws are minimized, this usually results in substantial perceptual errors due to the partly non-monotonous processing of complex physical signals by the human visual system.

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    Medical imaging is established in clinical routine. However, the volume and variety of imaging data often makes that data difficult to use. We are developing state-of-the-art methods for automatically processing, analyzing and integrating numerous different types of medical imaging data. This will make it possible to extract a multitude of vital, clinically relevant information and to make the best possible use of the imaging data long the entire treatment chain.

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    Comprehending and interpreting camera images (“Computer Vision”) is a core technology for virtual technologies because high-quality cameras are integrated in current computer and smart phone platforms and because the increasingly high performance facilitates elaborate image processing methods in real time.

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  • As a matter of principle, visualization technologies serve the calculation of static and dynamic images (e.g. films and animations) to communicate diverse facts. Such visualizations are often used in interactive applications and thus pose special requirements for the real-time capability of the procedures.

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  • In the domains of Smart Home and Smart Living, a multitude of sensors is used that, however, use similar technologies from decades past. Our goal is to create a new generation of sensors that are unobtrusive, energy conserving, yet powerful. We combine these technologies with new methods of machine learning and digital signal processing, to get the most information out of the sensor data. In addition we use methods to fuse data from heterogeneous sensor networks and use pattern recognition, as an important area to improve existing systems.

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    Our increasingly intelligent environments – or Smart Living – uses a multitude of technologies and methods, to create an environment that supports its inhabitants in successfully performing their daily task. Wishes and needs are recognised dynamically, in order to allow an appropriate system response. One example are sensors in the floor that register potential falls of an elderly person and can call for help immediately. Common standards, guidelines and open platforms support this idea of an active and independent life in older age.

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    Geodata contribute to the decision-making process in many areas of business, administration, and politics. Fraunhofer IGD develops adaptive modules for visualizing, processing, and managing such geoinformation.

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    Underwater cameras play a key role in the inspection of submarine structures (offshore foundation structures, pipelines, etc.), in the detection of seabed munitions, or in marine research. Carried by divers or mounted on submarine vehicles, these cameras deliver key information for controlling missions or documentation purposes. Due to the special optical properties of water, the quality of underwater images is usually rather bad, which affects the evaluation by man or even by the automated algorithms of machine vision.

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  • Technologies from the field of “Virtual und Augmented Reality” (VR/AR) have become successfully established in numerous industrial application fields and found in various application areas. This development is mainly driven through current developments by smartphone and tablet systems, but also through modern head-mounted displays, facilitating complex 3D applications in mobile application scenarios.

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    Current analytics solutions are often limited when it comes to making complex data easily accessible to users. The increasing variety of data types presents users with great challenges. Visual analytics combines automated data processing and user-centered visualizations, enabling users to make well-founded decisions.

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