Abstract
Time-of-Flight (ToF) cameras gained a lot of scientific attention and became a vivid field of research in the last years. A still remaining problem of ToF cameras are motion artifacts in dynamic scenes. This paper presents a new preprocessing method for a fast motion artifact compensation. We introduce a flow like algorithm that supports motion estimation, search field reduction and motion field optimization. The main focus lies on real-time processing capabilities. The approach is extensively tested and compared against other motion compensation techniques. For the evaluation, we use quantitative (ground-truth data, statistic error comparison) and qualitative (real environments, visual comparison) test methods. We show, that our proposed algorithm runs in real-time within a GPU based processing hardware (using NVIDIA Cuda) and corrects motion artifacts in a reliable way.
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Hoegg, T., Lefloch, D., Kolb, A. (2013). Real-Time Motion Artifact Compensation for PMD-ToF Images. In: Grzegorzek, M., Theobalt, C., Koch, R., Kolb, A. (eds) Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications. Lecture Notes in Computer Science, vol 8200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-44964-2_13
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DOI: https://doi.org/10.1007/978-3-642-44964-2_13
Publisher Name: Springer, Berlin, Heidelberg
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