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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Bibliographic Details
Main Authors: Ge, Liuhao, Cai, Yujun, Weng, Junwu, Yuan, Junsong
Other Authors: Interdisciplinary Graduate School (IGS)
Format: Conference or Workshop Item
Language:English
Published: 2018
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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