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  1. 3D motion flow estimation using local all-pass filters | IEEE ...

  2. 3D motion flow estimation using local all-pass filters - Semantic โ€ฆ

  3. 3D Motion Flow Estimation using Local All-Pass Filters

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    Accordingly, our algorithm aims to relate two images, on a local level, using a 3D all-pass filter and then extract the local motion flow from the filter. As this process is based on filtering, it can be efficiently repeated over the whole image volume allowing fast estimation of a dense 3D motion.
    As this process is based on filtering, it can be efficiently repeated over the whole image volume allowing fast estimation of a dense 3D motion. We demonstrate the effectiveness of this algorithm on both synthetic motion flows and in-vivo MRI data involving respiratory motion.
    Abstract: Fast and accurate motion estimation is an important tool in biomedical imaging applications such as motion compensation and image registration. In this paper, we present a novel algorithm to estimate motion in volumetric images based on the recently developed Local All-Pass (LAP) optical flow framework.
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  6. 3D MOTION FLOW ESTIMATION USING LOCAL ALL-PASS FILTERS

  7. Christopher Gilliam | Multi-Dimensional Signal Alignment

    WebResearch. Multi-Dimensional Signal Alignment. Local All-Pass Filter Framework. The estimation of a geometric transformation that aligns two or more signals is a problem that has many applications in signal processing.

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