• 3D printing is an increasingly important manufacturing procedure for the production of prototypes, products, and replicas. The growing function scope of 3D printers, which includes a wider range of suitable print material, is accompanied by growing requirements for the control software used. Due to the immense amount of data, among other reasons, the accurate positioning of the material in order to reflect both geometrical and visual properties correctly represents a challenge.

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    A 3D rendering can serve many purposes, and the more realistic it appears to our eyes, the more multifaceted its potential applications. Whatever that purpose may be – archiving cultural artifacts in digital formats, showcasing products on the Internet, or designing applications in any industry – attention to detail is crucial. A 3D digital replica has to reproduce the geometry and optical material characteristics to convey a realistic impression of the object. Our scanning technology, adapted to the given scenario, does that.

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    Massive amounts of data are a challenge for virtually all industries and public authorities. While the options to collect data have become more and more efficient, the evaluation of data is greatly complicated by high data volumes and great dynamics with heterogeneous data formats.

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    Biometrics enables the recognition of humans by machines. We use distinct characteristics that are unique for a person to perform identification. Some of the more common biometric methods include fingerprint, iris and facial recognition that are increasingly used in our everyday devices. The methods used can be easily transferred to the identification of objects in images, based on distinct characteristics. Multi-biometric methods recognize and combine multiple physiological traits. The combination of e.g.

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  • In the coming years, the growing need for storage and processing capacity will propel the demand for cloud-capable solutions. In this area, Fraunhofer IGD fills a gap and sets new standards for the high-performance storage of objects with semantics and spatial reference in a cloud-based data repository. The costs incurred by the customer are reduced by using the cloud instead of on-site hardware and reducing maintenance overhead. Other benefits of this intelligent solution include a significant performance boost and enhanced user experience.

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  • Digital assistance aims at supporting the human being in all possible situations of everyday life via intelligent and adaptive technologies. Tasks in the professional as well as the private field can thus be fulfilled more easily and purposefully. Fraunhofer IGD applies technologies of visual information assistance in networked and mobile applications. Within this framework research activities focus on assistance in the field of production as well as the health sector in order to increase the ability to make reliable decisions during work processes.

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  • Advanced Driver Assistance Systems (ADAS), with such uses as detecting pedestrians or visualizing the safe distance to the vehicle in front, are developed and researched in the automotive industry. Here, different sensors (GPS, ADAS camera, gyro, CAN data, etc.) are merged and evaluated.

    In this context, Fraunhofer IGD develops algorithms based on computer vision and machine learning by means of which it is possible to capture the vehicle’s environment in order to detect cyclists or other traffic obstructions.

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    The geometry processing pipeline covers applications from modeling3D digital objects, also aided by sketch-based techniques, to meshing 3D digital objects for simulations, where research is increasingly enhancing the 3D models with semantics.

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    Information visualization designates the ideal representation of data and information with the goal of assisting a human user in his tasks. With the expertise and active research of Fraunhofer IGD in the field of information visualization, novel solutions can be tailored directly to the data and tasks of our customers.

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    Numerical simulation is an integral part in the product development cycle. Stability analysis is conducted by computing the stress distribution with specified load cases. In case of critical stress peaks, the geometry must be changed locally. This iterative process of geometric design, simulation and analysis is usually carried out with a number of different CAx tools. This process is time intensive as there are not only long execution times for the simulation, but also a need for manually converting data between the tools. Efficiently optimizing different shapes and testing them w.r.t. stability is therefore difficult to accomplish.

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  • 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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