High Marker Density Motion Capture by Retroreflective Mesh Suit

This paper presents a method for capturing detailed human motion by using a suit covered with retroreflective mesh. We can attach huge number of markers on the subject without replacing the hardware of current passive optical motion capture systems. Compared to normal motion capture using spherical markers, the connectivity information of the mesh can be used to improve the efficiency and accuracy of the reconstruction process. As a result, the system can achieve faster and more precise measurement of hundreds of markers on the subject than other approaches such as using natural image or 3D scanning. The total computation time required to reconstruct the 3D mesh information including 408 markers (intersections) is 65.5 ms, allowing realtime motion capture at 15 fps.

[1]  Katsushi Ikeuchi,et al.  Object shape and reflectance modeling from observation , 1997, SIGGRAPH.

[2]  Takeo Kanade,et al.  Appearance-based virtual view generation of temporally-varying events from multi-camera images in the 3D room , 1999, Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062).

[3]  Igor Guskov,et al.  Efficient tracking of regular patterns on non-rigid geometry , 2002, Object recognition supported by user interaction for service robots.

[4]  Y. Nakamura,et al.  Somatosensory computation for man-machine interface from motion-capture data and musculoskeletal human model , 2005, IEEE Transactions on Robotics.

[5]  Takeo Kanade,et al.  Shape-from-silhouette of articulated objects and its use for human body kinematics estimation and motion capture , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[6]  Marc Levoy,et al.  The digital Michelangelo project: 3D scanning of large statues , 2000, SIGGRAPH.