1998
DOI: 10.1007/3-540-49384-0_3
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Local and Global Skeleton Fitting Techniques for Optical Motion Capture

Abstract: Identifying a precise anatomic skeleton is important in order to ensure high quality motion capture. In this paper we discuss two skeleton fitting techniques based on 3D optical marker data. First a local technique is proposed based on relative marker trajectories. Then it is compared to a global optimization of a skeleton model. Various proposals are made to handle the skin deformation problem. Index Terms-skeleton fitting, motion capture, optical markers

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Cited by 99 publications
(56 citation statements)
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“…For extracting skeletal animations only, the locations of the pivotal joints of the major bone structures are required. To overcome the deformations due to muscle expansion and contraction during movement, estimating the pivot points from surface data (see Silaghi et al, 1998) or applying an explicit offset for location marker data can be used (see Molet et al, 1996). However, these systems rely on either estimation or a known value of the distance a pivot joint is from the surface of the body, which differs for each actor ( Figure 2).…”
Section: Vicon and Human Motion Capturementioning
confidence: 99%
“…For extracting skeletal animations only, the locations of the pivotal joints of the major bone structures are required. To overcome the deformations due to muscle expansion and contraction during movement, estimating the pivot points from surface data (see Silaghi et al, 1998) or applying an explicit offset for location marker data can be used (see Molet et al, 1996). However, these systems rely on either estimation or a known value of the distance a pivot joint is from the surface of the body, which differs for each actor ( Figure 2).…”
Section: Vicon and Human Motion Capturementioning
confidence: 99%
“…The point representation is sufficient in systems using passive or active markers. The active markers yield a high contrast in the images and provide a robust representation [131]. If more than one camera is used in a marker-based system a 3D representation may be obtained [103].…”
Section: Object-based Representationmentioning
confidence: 99%
“…Silaghi and colleagues [12] describe a partially automatic method for inferring skeletons from motion. They solve for joint positions by finding the center of rotation in the inboard frame for markers on the outboard segment of each joint.…”
Section: Previous Workmentioning
confidence: 99%