Articulated joint estimation from motion using two monocular images
Pattern Recognition Letters
Motion Analysis of Articulated Objects from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
The feature points extraction for the apparel manufacture from 3D human body scan data
CGIM '07 Proceedings of the Ninth IASTED International Conference on Computer Graphics and Imaging
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Recognizing structure of human body is important for modeling human motion. Human body is usually represented as an articulate model, which consists of the rigid parts and the joint points between them. The joint points specify the structure of the human body. In this paper, we propose a novel 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, using more successive data eliminates false joint points. Applying the method to the simulated data, the locations of joint points of the human are correctly estimated.