Abstract
This paper presents an automatic method to extract joints accurately from scanned human body shape. Firstly, model is divided into slices by a group of horizontal parallel planes and primary landmarks are determinated according to the slices. Additionally, we propose a model intersection method based on direction of limbs. Model is separated into five segments including torso and four limbs and approximate direction of each segment can be calculated according to the primary landmarks. Five groups of parallel planes perpendicular to corresponding segments are employed to divide each segment into slices, and contours are calculated by intersection detection between planes and triangles. Finally, we propose a circularity function differentiation technique to extract key contours at joints from segments and the joints can be calculated according to centroids of the key contours. The experimental results demonstrate that the method has more advantages than the conventional ones, especially in algorithm’s accuracy and robustness.
Chapter PDF
Similar content being viewed by others
References
Yijun Xiao, W.N., Siebert, J.P.: A functional-based segmentation of human body scans in arbitrary postures. IEEE Transactions on Systems, Man, and Cybernetics, Part. B: Cybernetics 36(1), 153–165 (2006)
Nurre, J.: Locating Landmarks on Human Body Scan Data. In: Proceedings of the International Conference on Recent. In: Advances in 3-D Digital Imaging and Modeling (3DIM 1997), Ottawa, Canada, pp. 289–295 (May 1997)
Yang, J.X., Naoufel, W., Paul, S.J.: Automatic segmentation of 3D human body scans. In: Proceeding of International Conference on Computer Graphics and Imaging 2000, Las Vegas, pp. 1–6 (2000)
Dekker, L., Douros, I., Buxton, B., Treleaven, P.: Building symbolic information for 3D human body modeling from range data. In: Proc. the Second International Conference on 3D Digital Imaging and Modeling, pp. 388–397. IEEE Computer Society Press, Los Alamitos (1999)
Buxton, B., Dekker, L., Douros, I., Vassilev, T.: Reconstruction and Interpretation of 3D Whole Body Surface Images. In: Numerisation 3D Scanning 2000 Conference Proceedings (April 2000)
Ma, Y.-Y., Zhang, H., Jiang, S.-W.: Realistic Modeling and Animation of Human Body Based on Scanned Data. Journal of Computer Science and Technology 19(4), 529–537 (2004)
Oliveira, J.F., Zhang, D., Spanlang, B., Buxton, B.F.: Animating Scanned Human Models. WSCG 2003 (2003)
Zhong, Y., Xu, B.: Automatic segmenting and measurement on scanned human body. International Journal of Clothing Science and Technology 18, 19–30 (2006)
Xiao, Y., Siebert, P., Werghi, N.: A Discrete Reeb Graph Approach for the Segmentation of Human Body Scans. 3-D Digital Imaging and Modeling, pp. 378–385 (2003)
Wang Charlie, C.L., Chang Terry, K.K., Yuan Matthew, M.F.: From laser-scanned data to feature human model: A system based on fuzzy logical concept. Computer-Aided Design 35(3), 241–253 (2003)
Wade, L., Parent, R.E.: Automated generation of control skeletons for use in animation. The Visual Computer 18(2), 97–110 (2002)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yu, Y., Wang, Z., Xia, S., Mao, T. (2007). Automatic Joints Extraction of Scanned Human Body. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2007. Lecture Notes in Computer Science, vol 4561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73321-8_34
Download citation
DOI: https://doi.org/10.1007/978-3-540-73321-8_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73318-8
Online ISBN: 978-3-540-73321-8
eBook Packages: Computer ScienceComputer Science (R0)