.png){kind=icon}
返回
3D posture estimation using geodesic distance maps
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-007-0191-y.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents a novel technique for three-dimensional (3D) human motion capture using a set of two non-calibrated cameras. The user's five extremities (head, hands and feet) are extracted, labeled and tracked after silhouette segmentation. As they are the minimal number of points that can be used in order to enable whole body gestural interaction, we will henceforth refer to these features as crucial points. Features are subsequently labelled using 3D triangulation and inter-image tracking. The crucial point candidates are defined as the local maxima of the geodesic distance with respect to the center of gravity of the actor region that lie on the silhouette boundary. Due to its low computational complexity, the system can run at real-time paces on standard personal computers, with an average error rate range between 4% and 9% in realistic situations, depending on the context and segmentation quality.
Keyword:
motion capture
silhouette analysis
gestural interfaces
geodesic distance
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
机构
引用论文
Virtually there - Three-dimensional tele-immersion may eventually bring the world to your desk.png)
SCIENTIFIC AMERICAN
SCIENTIFIC AMERICANIF3.1
PREAI
分享收藏
分享收藏分享收藏Hydrothermal preparation and low temperature magnetic properties of TbOOH, DyOOH, HoOOH, ErOOH, and YbOOHTbOOH，DyOOH，HoOOH，ErOOH和YbOOH的水热制备和低温磁性
PREAI
分享收藏分享收藏
查看更多内容