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» Capturing Natural Hand Articulation
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WACV
2005
IEEE
13 years 10 months ago
Handsignals Recognition From Video Using 3D Motion Capture Data
Hand signals are commonly used in applications such as giving instructions to a pilot for airplane takeoff or direction of a crane operator by a foreman on the ground. A new algor...
Tai-Peng Tian, Stan Sclaroff
PRESENCE
2006
197views more  PRESENCE 2006»
13 years 4 months ago
A Spring Model for Whole-Hand Virtual Grasping
We present a physically-based approach to grasping and manipulation of virtual objects that produces visually realistic results, addresses the problem of visual interpenetration o...
Christoph W. Borst, Arun P. Indugula
HUMO
2000
Springer
13 years 8 months ago
Modeling the Constraints of Human Hand Motion
Hand motion capturing is one of the most important parts of gesture interfaces. Many current approaches to this task generally involve a formidable nonlinear optimization problem ...
John Y. Lin, Ying Wu, Thomas S. Huang
WSCG
2003
153views more  WSCG 2003»
13 years 6 months ago
Combined Partial Motion Clips
We present a motion editing method for articulated figures using Combined Partial Motion Clips (CPMCs). CPMCs contain detailed motion information for some parts of the articulated...
N. Al-Ghreimil, James K. Hahn
DAGM
2006
Springer
13 years 8 months ago
Cross-Articulation Learning for Robust Detection of Pedestrians
Recognizing categories of articulated objects in real-world scenarios is a challenging problem for today's vision algorithms. Due to the large appearance changes and intra-cla...
Edgar Seemann, Bernt Schiele