Hand PointNet : 3D hand pose estimation using point sets
Convolutional Neural Network (CNN) has shown promising results for 3D hand pose estimation in depth images. Different from existing CNN-based hand pose estimation methods that take either 2D images or 3D volumes as the input, our proposed Hand PointNet directly processes the 3D point cloud that mode...
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Main Authors: | Ge, Liuhao, Cai, Yujun, Weng, Junwu, Yuan, Junsong |
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Other Authors: | Interdisciplinary Graduate School (IGS) |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/88581 http://hdl.handle.net/10220/45084 http://openaccess.thecvf.com/content_cvpr_2018/html/Ge_Hand_PointNet_3D_CVPR_2018_paper.html |
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Institution: | Nanyang Technological University |
Language: | English |
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