Showing 1 - 20 results of 24 for search '(( less based pose estimation algorithm ) OR ( binary based solid optimization algorithm ))', query time: 0.69s Refine Results
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    Video1_A novel encoding element for robust pose estimation using planar fiducials.MP4 by David D. W. Rijlaarsdam (13302015)

    Published 2022
    “…<p>Pose estimation in robotics is often achieved using images from known and purposefully applied markers or fiducials taken by a monocular camera. …”
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    Image1_Dynamic stability during level walking and obstacle crossing in children aged 2–5 years estimated by marker-less motion capture.jpeg by Kohei Yoshimoto (4776570)

    Published 2023
    “…Gait motion was captured by three RGB cameras. 2D body landmarks were estimated using OpenPose, a marker-less motion capture algorithm, and converted to 3D using direct linear transformation (DLT). …”
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    Cosolvent-Based Protein Pharmacophore for Ligand Enrichment in Virtual Screening by Juan Pablo Arcon (3896794)

    Published 2019
    “…However, the improvement in pose prediction of actives was less profound. The presented application makes use of the AutoDock Bias method and is the only cosolvent-derived pharmacophore technique that employs its knowledge both in the ligand conformational search algorithm and the final affinity scoring for virtual screening purposes.…”
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    Cosolvent-Based Protein Pharmacophore for Ligand Enrichment in Virtual Screening by Juan Pablo Arcon (3896794)

    Published 2019
    “…However, the improvement in pose prediction of actives was less profound. The presented application makes use of the AutoDock Bias method and is the only cosolvent-derived pharmacophore technique that employs its knowledge both in the ligand conformational search algorithm and the final affinity scoring for virtual screening purposes.…”
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    Video_3_Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras.avi by Nobuyasu Nakano (8895227)

    Published 2020
    “…In conclusion, this study demonstrates that, if an algorithm that corrects all apparently wrong tracking can be incorporated into the system, OpenPose-based markerless motion capture can be used for human movement science with an accuracy of 30 mm or less.…”
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    Video_1_Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras.avi by Nobuyasu Nakano (8895227)

    Published 2020
    “…In conclusion, this study demonstrates that, if an algorithm that corrects all apparently wrong tracking can be incorporated into the system, OpenPose-based markerless motion capture can be used for human movement science with an accuracy of 30 mm or less.…”
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    Video_2_Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras.avi by Nobuyasu Nakano (8895227)

    Published 2020
    “…In conclusion, this study demonstrates that, if an algorithm that corrects all apparently wrong tracking can be incorporated into the system, OpenPose-based markerless motion capture can be used for human movement science with an accuracy of 30 mm or less.…”
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    DataSheet_1_Deep-learning models for image-based gynecological cancer diagnosis: a systematic review and meta- analysis.zip by Asefa Adimasu Taddese (8602431)

    Published 2024
    “…The most popular models were ResNet, VGGNet, and UNet. DL algorithms showed more sensitivity but less specificity compared to machine learning (ML) methods. …”
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    Active Learning Accelerated Discovery of Stable Iridium Oxide Polymorphs for the Oxygen Evolution Reaction by Raul A. Flores (2910539)

    Published 2020
    “…We emphasize that the proposed AL algorithm can be easily generalized to search for any binary metal oxide structure with a defined stoichiometry.…”