3D hand pose retrieval from a single 2D image

被引：0

作者：

Guan, HY ^{[1
]}

Chua, CS ^{[1
]}

Ho, YK ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS | 2001年

关键词：

3D hand posture estimation; model-based approach; gesture recognition;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Current research efforts about passive sensing of 3D human hand pose have been hampered by the computational complexity caused by inverse kinematics and 3D reconstruction. In this paper we focuses on 3D hand posture estimation based on a single 2D image. We analyze some of its constraints to reduce the 2 7 DOFs to 12 DOFs without any significant degradation of performance. A novel algorithm to estimate the 3D hand posture from eight 2D projected feature points is proposed Experimental results confirm that our algorithm gives good estimates of the 3D hand pose.

引用

页码：157 / 160

页数：4

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