Abstract
Parametric 3D human body models are valuable tools for ergonomic product design and statistical shape modelling (SSM) is a powerful technique to build realistic body models from a database of 3D scans. Like the underlying 3D scans, body models built from SSMs are typically represented with triangle meshes. Unfortunately, triangle meshes are not well supported by CAD software where spline geometry dominates. Therefore, we propose a methodology to convert databases of pre-corresponded triangle meshes into multi-patch B-spline SSMs. An evaluation on four 3D scan databases shows that our method is able to generate accurate and water-tight models while preserving inter-subject correspondences by construction. In addition, we demonstrate that such SSMs can be used to generate design manikins which can be readily used in SolidWorks for designing well conforming product parts.
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References
Pheasant, S., Haslegrave, C.M.: Bodyspace: Anthropometry, Ergonomics and the Design of Work. CRC Press, Boca Raton (2016)
Motti, V.G., Caine, K.: Human factors considerations in the design of wearable devices. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 58, no. 1, pp. 1820ā1824. SAGE Publications, Thousand Oaks (2014)
Baek, S.Y., Lee, K.: Parametric human body shape modeling framework for human-centered product design. Comput.-Aided Des. 44(1), 56ā67 (2012)
Heimann, T., Meinzer, H.P.: Statistical shape models for 3D medical image segmentation: a review. Med. Image Anal. 13(4), 543ā563 (2009)
Davies, R.H., Twining, C.J., Cootes, T.F., Taylor, C.J.: Building 3-D statistical shape models by direct optimization. IEEE Trans. Med. Imaging 29(4), 961ā981 (2010)
Huysmans, T., Sijbers, J., Verdonk, B.: Automatic construction of correspondences for tubular surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 32(4), 636ā651 (2010)
Allen, B., Curless, B., PopoviÄ, Z.: The space of human body shapes: reconstruction and parameterization from range scans. ACM Trans. Graph. 22(3), 587ā594 (2003)
Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., Davis, J.: SCAPE: shape completion and animation of people. ACM Trans. Graph. 24(3), 408ā416 (2005)
Hasler, N., Stoll, C., Sunkel, M., Rosenhahn, B., Seidel, H.P.: A statistical model of human pose and body shape. Comput. Graph. Forum 28(2), 337ā346 (2009)
Chen, Y., Liu, Z., Zhang, Z.: Tensor-based human body modeling. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 105ā112. IEEE (2013)
Park, B.K., Reed, M.P.: Parametric body shape model of standing children aged 3ā11 years. Ergonomics 58(10), 1714ā1725 (2015)
Pishchulin, L., Wuhrer, S., Helten, T., Theobalt, C., Schiele, B.: Building statistical shape spaces for 3D human modeling. Pattern Recogn. 67, 276ā286 (2017)
Quan, W., Matuszewski, B., Shark, L., Ait-Boudaoud, D.: 3-D facial expression representation using B-spline statistical shape model. In: British Machine Vision Conference, Vision, Video and Graphics Workshop, 10ā13 September 2007, Warwick (2007)
Hu, N., CerviƱo, L., Segars, P., Lewis, J., Shan, J., Jiang, S., Wang, G.: A method for generating large datasets of organ geometries for radiotherapy treatment planning studies. Radiol. Oncol. 48(4), 408ā415 (2014)
Peng, W., Feng, Z., Xu, C., Su, Y.: Parametric T-spline face morphable model for detailed fitting in shape subspace. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6139ā6147 (2017)
Campen, M.: Partitioning surfaces into quadrilateral patches: a survey. Comput. Graph. Forum 36(8), 567ā588 (2017)
Bommes, D., Zimmer, H., Kobbelt, L.: Mixed-integer quadrangulation. ACM Trans. Graph. 28(3), 77:1ā77:10 (2009)
Kimmel, R., Sethian, J.A.: Computing geodesic paths on manifolds. Proc. Natl. Acad. Sci. 95(15), 8431ā8435 (1998)
Floater, M.S.: Parametrization and smooth approximation of surface triangulations. Comput. Aided Geom. Des. 14(3), 231ā250 (1997)
Floater, M.S.: Mean value coordinates. Comput. Aided Geom. Des. 20(1), 19ā27 (2003)
Bartels, R.H., Beatty, J.C., Barsky, B.A.: An Introduction to Splines for Use in Computer Graphics and Geometric Modeling. Morgan Kaufmann, Burlington (1987)
Li, X.S.: An overview of SuperLU: algorithms, implementation, and user interface. ACM Trans. Math. Softw. 31(3), 302ā325 (2005)
Capetillo-Cunliffe, L.: Loni: Laboratory of Neuro Imaging (2007)
Robinette, K.M., Daanen, H., Paquet, E.: The CAESAR project: a 3-D surface anthropometry survey. In: Second IEEE International Conference on 3-D Digital Imaging and Modeling, pp. 380ā386 (1999)
Danckaers, F., Huysmans, T., Lacko, D., Ledda, A., Verwulgen, S., Van Dongen, S., Sijbers, J.: Correspondence preserving elastic surface registration with shape model prior. In: 22nd International Conference on Pattern Recognition (ICPR), pp. 2143ā2148. IEEE (2014)
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This work was financially supported by VLAIO grants TETRA-130771 and SB-141520.
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Huysmans, T. et al. (2019). Multi-patch B-Spline Statistical Shape Models for CAD-Compatible Digital Human Modeling. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2018. Advances in Intelligent Systems and Computing, vol 780. Springer, Cham. https://doi.org/10.1007/978-3-319-94223-0_17
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DOI: https://doi.org/10.1007/978-3-319-94223-0_17
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