Hand PointNet : 3D hand pose estimation using point sets

• المؤلفون الرئيسيون: Ge, Liuhao, Cai, Yujun, Weng, Junwu, Yuan, Junsong
• مؤلفون آخرون: Interdisciplinary Graduate School (IGS)
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2018
• الموضوعات: 3D Hand Pose; Pose Regression
• الوصول للمادة أونلاين: 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
• المؤسسة: Nanyang Technological University

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...