Abstract
We consider the problem of computing accurate point-to-point correspondences among a set of human bodies in varying postures using a landmark-free approach. The approach learns the locations of the anthropometric landmarks present in a database of human models in strongly varying postures and uses this knowledge to automatically predict the locations of these anthropometric landmarks on a newly available scan. The predicted landmarks are then used to compute point-to-point correspondences between a rigged template model and the newly available scan.
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Aiger, D., Mitra, N., Cohen-Or, D.: 4-points congruent sets for robust surface registration. ACM Trans. Graph. 27(3), 1–10 (2008). Proceedings of SIGGRAPH
Allen, B., Curless, B., Popović, Z.: The space of human body shapes: reconstruction and parameterization from range scans. ACM Trans. Graph. 22(3), 587–594 (2003). Proceedings of SIGGRAPH
Allen, B., Curless, B., Popović, Z., Hertzmann, A.: Learning a correlated model of identity and pose-dependent body shape variation for real-time synthesis. In: Proceedings of the 2006 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 147–156 (2006)
Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., Davis, J.: Scape: shape completion and animation of people. ACM Trans. Graph. 24(3), 408–416 (2005). Proceedings of SIGGRAPH
Arya, S., Mount, D.M.: Approximate nearest neighbor queries in fixed dimensions. In: Symposium on Discrete Algorithms, pp. 271–280 (1993)
Azouz, Z.B., Shu, C., Mantel, A.: Automatic locating of anthropometric landmarks on 3D human models. In: 3D Data Processing, Visualization and Transmission (2006)
Baran, I., Popović, J.: Automatic rigging and animation of 3D characters. ACM Trans. Graph. 26(3) (2007). Proceedings of SIGGRAPH
Besl, P., McKay, N.: A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239–256 (1992)
Blanz, V., Vetter, T.: A morphable model for the synthesis of 3D faces. In: Proceedings of SIGGRAPH, pp. 187–194 (1999)
Bronstein, A.M., Bronstein, M.M., Kimmel, R.: Generalized multidimensional scaling: a framework for isometry-invariant partial surface matching. PNAS 103(5), 1168–1172 (2006)
Chang, W., Zwicker, M.: Automatic registration for articulated shapes. Comput. Graph. Forum (Special Issue of SGP 2008) 27(5), 1459–1468 (2008)
Chang, W., Zwicker, M.: Range scan registration using reduced deformable models. Comput. Graph. Forum (Special Issue of Eurographics 2009) 28(2) (2009)
Dryden, I., Mardia, K.: Statistical Shape Analysis. Wiley, New York (2002)
Elad, A., Kimmel, R.: On bending invariant signatures for surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 25(10), 1285–1295 (2003)
Gall, J., Stoll, C., de Aguiar, E., Theobalt, C., Rosenhahn, B., Seidel, H.-P.: Motion capture using joint skeleton tracking and surface estimation. In: IEEE Conference on Computer Vision and Pattern Recognition (2009)
Gelfand, N., Mitra, N.J., Guibas, L.J., Pottmann, H.: Robust global registration. In: Symposium on Geometry Processing, p. 197 (2005)
Hasler, N., Stoll, C., Sunkel, M., Rosenhahn, B., Seidel, H.-P.: A statistical model of human pose and body shape. Comput. Graph. Forum (Special Issue of Eurographics 2008) 2(28) (2009)
Huang, Q., Adams, B., Wicke, M., Guibas, L.J.: Non-rigid registration under isometric deformations. Comput. Graph. Forum (Special Issue of SGP 2008) 27(5) (2008)
Jain, V., Zhang, H., van Kaick, O.: Non-rigid spectral correspondence of triangle meshes. IJSM 13(1), 101–124 (2007)
Li, H., Sumner, R.W., Pauly, M.: Global correspondence optimization for non-rigid registration of depth scans. Comput. Graph. Forum 27(5) (2008)
Liu, D.C., Nocedal, J.: On the limited memory method for large scale optimization. Math. Program. B 45, 503–528 (1989)
Pauly, M., Mitra, N., Giesen, J., Gross, M., Guibas, L.: Example-based 3d scan completion. In: Symposium on Geometry Processing, p. 23 (2005)
Robinette, K., Daanen, H., Paquet, E.: The CAESAR project: A 3-D surface anthropometry survey. In: 3-D Digital Imaging and Modeling, pp. 180–186 (1999)
Rusinkiewicz, S., Levoy, M.: Efficient variants of the ICP algorithm. In: Conference on 3D Digital Imaging and Modeling, June 2001
van Kaick, O., Zhang, H., Hamarneh, G., Cohen-Or, D.: A survey on shape correspondence. In: Eurographics State-of-the-Art Report (2010)
Wuhrer, S., Azouz, Z.B., Shu, C.: Semi-automatic prediction of landmarks on human models in varying poses. In: Canadian Conference on Computer and Robot Vision (2010)
Zhang, H., Sheffer, A., Cohen-Or, D., Zhou, Q., van Kaick, O., Tagliasacchi, A.: Deformation-driven shape correspondence. Comput. Graph. Forum (Special Issue of SGP 2008) 27(5) (2008)
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Wuhrer, S., Shu, C. & Xi, P. Landmark-free posture invariant human shape correspondence. Vis Comput 27, 843–852 (2011). https://doi.org/10.1007/s00371-011-0557-z
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DOI: https://doi.org/10.1007/s00371-011-0557-z