3D pose estimation

Results: 73



#Item
1Face Pose Estimation with Combined 2D and 3D HOG Features Jiaolong Yang, Wei Liang, Yunde Jia Beijing Laboratory of Intelligent Information Technology School of Computer Science, Beijing Institute of Technology, Beijing

Face Pose Estimation with Combined 2D and 3D HOG Features Jiaolong Yang, Wei Liang, Yunde Jia Beijing Laboratory of Intelligent Information Technology School of Computer Science, Beijing Institute of Technology, Beijing

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Source URL: jlyang.org

Language: English - Date: 2018-07-27 04:11:09
    2Symmetry Aware Evaluation of 3D Object Detection and Pose Estimation in Scenes of Many Parts in Bulk Romain Br´egier1,2 , Fr´ed´eric Devernay2 , Laetitia Leyrit1 , James L. Crowley2 1 2

    Symmetry Aware Evaluation of 3D Object Detection and Pose Estimation in Scenes of Many Parts in Bulk Romain Br´egier1,2 , Fr´ed´eric Devernay2 , Laetitia Leyrit1 , James L. Crowley2 1 2

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    Source URL: openaccess.thecvf.com

    Language: English - Date: 2017-10-20 15:48:05
      3Synthesizing Training Images for Boosting Human 3D Pose Estimation-supplementary.pdf

      Synthesizing Training Images for Boosting Human 3D Pose Estimation-supplementary.pdf

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      Source URL: ai.stanford.edu

      - Date: 2016-09-22 20:30:04
        43D Hand Pose Estimation Using Randomized Decision Forest with Segmentation Index Points Peiyi Li 1,2 Haibin Ling 2,∗

        3D Hand Pose Estimation Using Randomized Decision Forest with Segmentation Index Points Peiyi Li 1,2 Haibin Ling 2,∗

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        Source URL: www.cv-foundation.org

        - Date: 2015-10-24 15:07:09
          5Robust 3D Hand Pose Estimation in Single Depth Images: from Single-View CNN to Multi-View CNNs Liuhao Ge, Hui Liang, Junsong Yuan, and Daniel Thalmann Institute for Media Innovation Nanyang Technological University, Sing

          Robust 3D Hand Pose Estimation in Single Depth Images: from Single-View CNN to Multi-View CNNs Liuhao Ge, Hui Liang, Junsong Yuan, and Daniel Thalmann Institute for Media Innovation Nanyang Technological University, Sing

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          Source URL: eeeweba.ntu.edu.sg

          - Date: 2016-03-23 03:53:12
            6MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild Gr´egory Rogez, Cordelia Schmid To cite this version: Gr´egory Rogez, Cordelia Schmid. MoCap-guided Data Augmentation for 3D Pose Estimation

            MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild Gr´egory Rogez, Cordelia Schmid To cite this version: Gr´egory Rogez, Cordelia Schmid. MoCap-guided Data Augmentation for 3D Pose Estimation

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            Source URL: hal.inria.fr

            - Date: 2016-12-20 23:59:48
              7IEEE TRANSACTION ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY  1 Human Pose Estimation with Regression by Fusing Multi-View Visual Information

              IEEE TRANSACTION ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 1 Human Pose Estimation with Regression by Fusing Multi-View Visual Information

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              Source URL: www.ifp.illinois.edu

              Language: English - Date: 2010-07-25 04:16:40
              8D2 CO: Fast and Robust Registration of 3D Textureless Objects using the Directional Chamfer Distance Marco Imperoli and Alberto Pretto Department of Computer, Control, and Management Engineering “Antonio Ruberti“,

              D2 CO: Fast and Robust Registration of 3D Textureless Objects using the Directional Chamfer Distance Marco Imperoli and Alberto Pretto Department of Computer, Control, and Management Engineering “Antonio Ruberti“,

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              Source URL: flourish-project.eu

              Language: English - Date: 2015-07-10 11:26:07
              91  Human Pose Estimation from Video and IMUs Timo von Marcard, Gerard Pons-Moll, and Bodo Rosenhahn Abstract—In this work, we present an approach to fuse video with sparse orientation data obtained from inertial sensor

              1 Human Pose Estimation from Video and IMUs Timo von Marcard, Gerard Pons-Moll, and Bodo Rosenhahn Abstract—In this work, we present an approach to fuse video with sparse orientation data obtained from inertial sensor

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              Source URL: www.tnt.uni-hannover.de

              Language: English - Date: 2016-02-09 10:11:10
              10Geometrically Constrained Level Set Tracking for Automotive Applications Esther Horbert, Dennis Mitzel, Bastian Leibe UMIC Research Centre RWTH Aachen University, Germany  Abstract. We propose a new approach for integrat

              Geometrically Constrained Level Set Tracking for Automotive Applications Esther Horbert, Dennis Mitzel, Bastian Leibe UMIC Research Centre RWTH Aachen University, Germany Abstract. We propose a new approach for integrat

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              Source URL: europa.informatik.uni-freiburg.de

              Language: English - Date: 2010-07-22 03:51:54