Bibliography | Matheis, Michael: Evaluation of depth-camera-systems for usage in semi-controlled assembly environments. University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Diploma Thesis (2016). 69 pages, english.
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CR-Schema | I.4.1 (Digitization and Image Capture) I.2.10 (Vision and Scene Understanding) H.5.m (Information Interfaces and Presentation Miscellaneous)
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Abstract | With the availability of affordable depth-camera-systems like the Microsoft Kinect, Depth Imaging has seen a fast-growing number of applications in many different fields over the last years. Such systems can however be based on different measurement principles with widely differing parameters and hence are difficult to evaluate against a single benchmark. While accuracy and precision of depth-camera-systems inherently vary significantly with measuring distance and changing environments, and therefore impose heavy constraints on real world applications, they even allow for automated quality assurance in controlled environments. Context aware assistive systems in manual assembly environments push these boundaries by employing quality assurance in more open environments, where distracting influences by the worker or the work-space environment cannot be ruled out. The thesis concerns itself with the exploration and evaluation of different depth measuring approaches (e.g. Time of Flight, Structured Light, Stereo Vision) for usage in semi-controlled assembly environments. The still underexplored effects of material properties on measurements are experimentally evaluated and the resulting limitations of each approach for usage in assembly environments are discussed.
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Full text and other links | PDF (7563373 Bytes)
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Department(s) | University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
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Superviser(s) | Schmidt, Prof. Albrecht; Abdelrahman, Yomna |
Entry date | July 30, 2018 |
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