@techreport{FoecklerZeidlerBimber2005,
  author    = {F{\"o}ckler, Paul and Zeidler, Thomas and Bimber, Oliver},
  title     = {PhoneGuide: Museum Guidance Supported by On-Device Object Recognition on Mobile Phones},
  doi       = {10.25643/bauhaus-universitaet.650},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-6500},
  year      = {2005},
  abstract  = {We present PhoneGuide - an enhanced museum guidance approach that uses camera-equipped mobile phones and on-device object recognition. Our main technical achievement is a simple and light-weight object recognition approach that is realized with single-layer perceptron neuronal networks. In contrast to related systems which perform computational intensive image processing tasks on remote servers, our intention is to carry out all computations directly on the phone. This ensures little or even no network traffic and consequently decreases cost for online times. Our laboratory experiments and field surveys have shown that photographed museum exhibits can be recognized with a probability of over 90\%. We have evaluated different feature sets to optimize the recognition rate and performance. Our experiments revealed that normalized color features are most effective for our method. Choosing such a feature set allows recognizing an object below one second on up-to-date phones. The amount of data that is required for differentiating 50 objects from multiple perspectives is less than 6KBytes.},
  subject      = {Neuronales Netz},
  language  = {en}
}
@inproceedings{SchirmerKleinerOsburg,
  author    = {Schirmer, Ulrike and Kleiner, Florian and Osburg, Andrea},
  title     = {Objektive Oberfl{\"a}chenbewertung von (P)SCC-Sichtbeton mittels automatisierter Analyse von Bilddaten},
  series = {Tagung Bauchemie der GDCH-Fachgruppe Bauchemie, 30. September - 2. Oktober 2019 in Aachen},
  booktitle = {Tagung Bauchemie der GDCH-Fachgruppe Bauchemie, 30. September - 2. Oktober 2019 in Aachen},
  publisher = {Gesellschaft Deutscher Chemiker},
  isbn      = {978-3-947197-13-2},
  doi       = {10.25643/bauhaus-universitaet.4510},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20211004-45104},
  pages     = {8},
  abstract  = {Sichtbeton ist aufgrund seiner Vielf{\"a}ltigkeit in der Formgebung eines der am meisten verbreiteten Gestaltungsmittel der modernen Architektur und optimal f{\"u}r neue Bauweisen sowie steigende Anforderungen an das Erscheinungsbild {\"o}ffentlicher Bauwerke geeignet. Die Herstellung qualitativ hochwertiger Sichtbetonoberfl{\"a}chen h{\"a}ngt im hohen Maße von den Wechselwirkungen zwischen Beton und Trennmittel, zwischen Trennmittel und Schalmaterial, sowie von der Applikationsart und -menge des Trennmittels ab. In Laborversuchen wurden diese Einfl{\"u}sse auf die Sichtbetonoberfl{\"a}chen eines polymermodifizierten selbstverdichtenden Betons (PSCC) im Vergleich zu einem herk{\"o}mmlichen selbstverdichtenden Beton (SCC) untersucht. Im Rahmen dieser Arbeiten wurde eine Methode zur Beurteilung der Sichtbetonqualit{\"a}t entwickelt, mit welcher Ausschlusskriterien, wie maximale Porosit{\"a}t und Gleichm{\"a}ßigkeit, objektiv und automatisiert bestimmt werden k{\"o}nnen. Ver{\"a}nderungen dieser Werte durch Witterungseinfl{\"u}sse ließen zudem erste R{\"u}ckschl{\"u}sse auf die Dauerhaftigkeit der Sichtbetonoberfl{\"a}chen zu.},
  subject      = {Sichtbeton},
  language  = {de}
}
@article{JiangRoesslerWellmannetal.,
  author    = {Jiang, Mingze and R{\"o}ßler, Christiane and Wellmann, Eva and Klaver, Jop and Kleiner, Florian and Schmatz, Joyce},
  title     = {Workflow for high-resolution phase segmentation of cement clinker fromcombined BSE image and EDX spectral data},
  series = {Journal of Microscopy},
  volume    = {2021},
  journal   = {Journal of Microscopy},
  publisher = {Wiley-Blackwell},
  address   = {Oxford},
  doi       = {10.1111/jmi.13072},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20211215-45449},
  pages     = {1 -- 7},
  abstract  = {Burning of clinker is the most influencing step of cement quality during the production process. Appropriate characterisation for quality control and decision-making is therefore the critical point to maintain a stable production but also for the development of alternative cements. Scanning electron microscopy (SEM) in combination with energy dispersive X-ray spectroscopy (EDX) delivers spatially resolved phase and chemical information for cement clinker. This data can be used to quantify phase fractions and chemical composition of identified phases. The contribution aims to provide an overview of phase fraction quantification by semi-automatic phase segmentation using high-resolution backscattered electron (BSE) images and lower-resolved EDX element maps. Therefore, a tool for image analysis was developed that uses state-of-the-art algorithms for pixel-wise image segmentation and labelling in combination with a decision tree that allows searching for specific clinker phases. Results show that this tool can be applied to segment sub-micron scale clinker phases and to get a quantification of all phase fractions. In addition, statistical evaluation of the data is implemented within the tool to reveal whether the imaged area is representative for all clinker phases.},
  subject      = {Zementklinker},
  language  = {en}
}
@inproceedings{PaulRodehorst,
  author    = {Paul, Debus and Rodehorst, Volker},
  title     = {Multi-Scale Flight Path Planning for UAS Building Inspection},
  series = {Proceedings of the 18th International Conference on Computing in Civil and Building Engineering},
  volume    = {2020},
  booktitle = {Proceedings of the 18th International Conference on Computing in Civil and Building Engineering},
  editor    = {Santos, Toledo},
  publisher = {Springer},
  doi       = {10.25643/bauhaus-universitaet.4205},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20201009-42053},
  pages     = {19},
  abstract  = {Unmanned aircraft systems (UAS) show large potential for the construction industry. Their use in condition assessment has increased significantly, due to technological and computational progress. UAS play a crucial role in developing a digital maintenance strategy for infrastructure, saving cost and effort, while increasing safety and reliability. Part of that strategy are automated visual UAS inspections of the building's condition. The resulting images can automatically be analyzed to identify and localize damages to the structure that have to be monitored. Further interest in parts of a structure can arise from events like accidents or collisions. Areas of low interest exist, where low resolution monitoring is sufficient. From different requirements for resolution, different levels of detail can be derived. They require special image acquisition parameters that differ mainly in the distance between camera and structure. Areas with a higher level of detail require a smaller distance to the object, producing more images. This work proposes a multi-scale flight path planning procedure, enabling higher resolution requirements for areas of special interest, while reducing the number of required images to a minimum. Careful selection of the camera positions maintains the complete coverage of the structure, while achieving the required resolution in all areas. The result is an efficient UAS inspection, reducing effort for the maintenance of infrastructure.},
  subject      = {Drohne},
  language  = {en}
}