@inproceedings{2128,
  abstract     = {{We present the concept of a perceptive motor in terms of a cyber-physical system (CPS). A model application monitoring a knitting process was developed, where the take-off of the produced fabric is controlled by an electric motor. The idea is to equip a synchronous motor with a smart camera and appropriate image processing hard- and software components. Subsequently, the characteristics of knitted fabric are analysed by machine-learning (ML) methods. Our concept includes motor-current analysis and image processing. The aim is to implement an assistance system for the industrial large circular knitting process. An assistance system will help to shorten the retrofitting process. The concept is based on a low cost hardware approach for a smart camera, and stems from the recent development of image processing applications for mobile devices [1–4].}},
  author       = {{Vukovic, Kristijan and Simonis, Kristina and Dörksen, Helene and Lohweg, Volker}},
  booktitle    = {{Conference on Machine Learning for Cyber-Physical Systems (ML4CPS)}},
  keywords     = {{Assistance System, Euler Number, Synchronous Motor, Image Processing System, Image Processing Method}},
  title        = {{{Efficient Image Processing System for an Industrial Machine Learning Task}}},
  doi          = {{10.1007/978-3-662-48838-6_8}},
  year         = {{2015}},
}

@inproceedings{2155,
  abstract     = {{Today, mobile devices (smartphones, tablets, etc.) are widespread and of high importance for their users. Their performance as well as versatility increases over time. This leads to the opportunity to use such devices for more specific tasks like image processing in an industrial context. For the analysis of images requirements like image quality (blur, illumination, etc.) as well as a defined relative position of the object to be inspected are crucial. Since mobile devices are handheld and used in constantly changing environments the challenge is to fulfill these requirements. We present an approach to overcome the obstacles and stabilize the image capturing process such that image analysis becomes significantly improved on mobile devices. Therefore, image processing methods are combined with sensor fusion concepts. The approach consists of three main parts. First, pose estimation methods are used to guide a user moving the device to a defined position. Second, the sensors data and the pose information are combined for relative motion estimation. Finally, the image capturing process is automated. It is triggered depending on the alignment of the device and the object as well as the image quality that can be achieved under consideration of motion and environmental effects.}},
  author       = {{Henning, Kai-Fabian and Fritze, Alexander and Gillich, Eugen and Mönks, Uwe and Lohweg, Volker}},
  booktitle    = {{IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI}},
  keywords     = {{Image processing, Image acquisition, Mobile devices  Sensors, Image fusion, Motion estimation, Cameras}},
  pages        = {{1--12}},
  publisher    = {{SPIE}},
  title        = {{{Stable Image Acquisition for Mobile Image Processing Applications}}},
  doi          = {{10.1117/12.2076146}},
  year         = {{2015}},
}

@misc{1026,
  author       = {{Ruthmann, Daniel}},
  keywords     = {{3D, Architekturvisualisierung, CG}},
  pages        = {{45}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{Archipelago House }}},
  year         = {{2012}},
}

@misc{1037,
  abstract     = {{This master thesis focuses on the problems that can occur at 3D stereoscopic productions with a student budget. It provides the reader with the basic knowledge about the human eye. Further the human perception of 3D stereoscopic content is described. The reader will learn about the basic techniques and the technical appliances used in the production and the presentation of 3D stereoscopic movies. The special focus of this work is the comparison of a low budget student spot that was produced in stereoscopic 3D to other well known blockbuster movies regarding the subjects of ghosting/crosstalk, disparity and asynchronous frames. The reader will know how he or she can prepare a 3D life action shooting with a low budget avoiding these three failure sources.}},
  author       = {{Mompour, Marcel}},
  keywords     = {{3D stereoscopic, ghosting, crosstalk, bad synchronisation, disparity, low budget, Stereoskopischer Film, Synchronisierung}},
  pages        = {{63}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{Comparison of 3D stereoscopic blockbuster movies with a 3D stereoscopic spot realised with a student budget regarding ghosting/crosstalk, bad disparity and asynchronous frames}}},
  year         = {{2012}},
}

@misc{1045,
  abstract     = {{In the context of the increasing use of new portable evices, the potential of binaural recording techniques is being reconsidered. This kind of recording technique simulates human hearing and provides a 3D recording space, bringing in new mixing possibilities. For this paper, a song has been produced using inaural recording techniques and tested on a group of average listeners. The results suggest great potential for this technique for music production due to the 3D space that it brings but also significant limitation for commercial broadcasting.}},
  author       = {{Seserman, Angela-Nicoleta}},
  keywords     = {{binaural recording, 3D sound, music production, Musikproduktion, Sound}},
  pages        = {{46}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{Binaural recording techniques in a popular music production}}},
  year         = {{2012}},
}

@misc{1117,
  abstract     = {{In dem Kurzfilm HAPPYSAD geht es um einen namentlich unbekannten Hauptdarsteller. Optisch ist er im Alter zwischen 50 und 70 einzuordnen, allerdings spielt auch das Alter dabei keine Primäre Rolle. Der Character an sich erhält keine genauere Einführung und verstärkt damit den Eindruck der Austauschbarkeit und damit Anonymität. [...] Erdrückt von der Einsamkeit und der pausenlos verinnenden Zeit, gehen die Blicke immer wieder hektisch zum offen stehenden Fenster. Der Darsteller fasst den Entschluss [...], sich das Leben zu nehmen. Auf dem Fenstrebrett stehend zögert er kurz, springt dann aber in die Tiefe. Sichtlich benommen kommt er in einer für ihn unbekannten Welt wieder zu sich. [...]Doch überraschend schnell wird er wieder in die Realität zurück befördert und stellt fest, dass es sich bei all dem Erlebten (glücklicherweise) nur um einen Traum gehandelt hat.}},
  author       = {{Wiechmann, Jan}},
  keywords     = {{3D-Grafik-Software, Kurzfilm}},
  pages        = {{21}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{Happy Sad : Ein animierter Kurzfilm}}},
  year         = {{2011}},
}

@inproceedings{2058,
  abstract     = {{Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper we present a hardware accelerated image processing and classification scheme for rotation and translation tolerant two-dimensional pattern recognition, which is based on one-dimensional nonlinear discrete circular transforms. However, the scheme is simple; it is stable and therefore well suited for industrial applications. An implementation on one field programmable gate array (FPGA) is proposed.}},
  author       = {{Henke, Tobias and Lohweg, Volker}},
  booktitle    = {{IEEE International Conference On Image Processing (ICIP), Proceedings}},
  isbn         = {{0-7803-9134-9}},
  issn         = {{2381-8549 }},
  keywords     = {{Pattern recognition, Field programmable gate arrays, Neural networks, Image processing, Discrete transforms, Signal processing, Image retrieval, Image recognition, Transient analysis, Fuzzy systems}},
  pages        = {{349 -- 352}},
  publisher    = {{IEEE}},
  title        = {{{A Simplified Scheme For Hardware-Based Pattern Recognition}}},
  doi          = {{ 10.1109/ICIP.2005.1529759}},
  year         = {{2005}},
}

@article{2056,
  abstract     = {{Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper, we will present a hardware-accelerated image processing and classification system which is implemented on one field-programmable gate array (FPGA). Nonlinear discrete circular transforms generate a feature vector. The features are analyzed by a fuzzy classifier. This principle can be used for feature extraction, pattern recognition, and classification tasks. Implementation in radix-2 structures is possible, allowing fast calculations with a computational complexity of up to. Furthermore, the pattern separability properties of these transforms are better than those achieved with the well-known method based on the power spectrum of the Fourier Transform, or on several other transforms. Using different signal flow structures, the transforms can be adapted to different image and signal processing applications.}},
  author       = {{Lohweg, Volker and Diederichs, Carsten and Müller, Dietmar}},
  issn         = {{1110-8657 }},
  journal      = {{EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing }},
  keywords     = {{image processing, nonlinear circular transforms, feature extraction, fuzzy pattern recognition}},
  number       = {{1}},
  pages        = {{1912--1920}},
  publisher    = {{Hindawi Publ.}},
  title        = {{{Algorithms for Hardware-Based Pattern Recognition}}},
  doi          = {{https://doi.org/10.1155/S1110865704404247}},
  volume       = {{12}},
  year         = {{2004}},
}