Estimation of the location of joint points of human body from successive volume data

Recognizing structure of the human body is important for modeling human motion. The human body is usually represented as an articulate model, which consists of the rigid parts and the joint points between them. The structure of the human body is specified by the joint points. We propose a method for...

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Bibliographic Details
Main Authors: Iiyama, M., Kameda, Y., Minoh, M.
Format: Conference Proceeding
Language:eng ; jpn
Subjects:
Analytical models
Biological system modeling
Data mining
Data visualization
Foot
Humans
Joints
Medical simulation
Motion estimation
Shape
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Description
Summary:Recognizing structure of the human body is important for modeling human motion. The human body is usually represented as an articulate model, which consists of the rigid parts and the joint points between them. The structure of the human body is specified by the joint points. We propose a method for estimating the location of joint points from successive volume data. Our joint point estimation method consists of three steps. In the first step, rigid parts are extracted from two successive volume data under the constraint of the rigid transformation. In the second step, the joint points are estimated based on the rigid parts. As the last step, false joint points are eliminated by using more successive data. Applying the method to the simulated data, the locations of joint points of the human are correctly estimated.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2000.903640