This paper explores a novel endeavor of deploying only four active-tracking cameras and fundamental vision-based technologies for 3D motion capture of a full human body figure, which includes facial expression, motion of fingers of both hands and a whole body. The proposed methods suggest alternatives to extract motion parameters of the mentioned body parts from four single-view image sequences. The proposed ellipsoidal model- and flow-based facial expression motion capture solution tackles both 3D head pose and non-rigid facial motion effectively and we observe that a set of 22 self-defined feature points suffice the expression representation. The body figure and fingers motion capture is solved with a combination of articulated model and flow-based methods.
An Active Multi-camera Motion Capture for Face, Fingers and Whole Body
Asian Conference on Computer Vision ; 2007 ; Tokyo, Japan November 18, 2007 - November 22, 2007
2007-01-01
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Facial Expression , Feature Point , Facial Feature , Motion Capture , World Coordinate System Computer Science , Image Processing and Computer Vision , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Artificial Intelligence , Biometrics , Algorithm Analysis and Problem Complexity
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