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Islam, Abm Tariqul
Rostock : Universität , 2019
https://doi.org/10.18453/rosdok_id00002542
http://purl.uni-rostock.de/rosdok/id00002542
The depth images from consumer depth cameras (e.g., structured-light/ToF devices) exhibit a substantial amount of artifacts (e.g., holes, flickering, ghosting) that needs to be removed for real-world applications. Existing methods cannot entirely remove them and perform slow. This thesis proposes a new real-time spatio-temporal depth image enhancement filter that completely removes flickering and ghosting, and significantly reduces holes. This thesis also presents a novel depth-data capture setup and two data reduction methods to optimize the performance of the proposed enhancement method.
Dissertation
Open Access
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