C. I. Barbosa-b, . A. Del, . Bazzani-l, and . Murino-v, Re-identification with RGB-D Sensors, First International Workshop on Re-Identification, 2012.
DOI : 10.1007/978-3-642-33863-2_43

M. F. Bmr-*-99-]-bernardini, R. H. , and S. C. Taubin-g, The ball-pivoting algorithm for surface reconstruction . Visualization and Computer Graphics, IEEE Transactions on, vol.5, issue.4 2, pp.349-359, 1999.

B. M. and R. S. Misra-s, Ideas and methods for modeling 3d human figures: the principal algorithms used by makehuman and their implementation in a new approach to parametric modeling, Proceedings of the 1st Bangalore Annual Compute Conference, pp.10-14, 2008.

C. P. , C. M. , C. M. Dellepiane-m, and R. G. Ganovelli-f, Meshlab: an open-source mesh processing tool, Eurographics Italian Chapter Conference, pp.129-136, 2008.

I. A. Tombari-f, Semantic parametric body shape estimation from noisy depth sequences, Robot. Auton. Syst. PB, vol.75, pp.539-549, 2016.

. [. Bronstein-a and C. U. Bronstein-m, Supervised learning of bag-of-features shape descriptors using sparse coding, In Computer Graphics Forum, vol.33, pp.127-136, 2014.

F. M. Munaro, . Basso-a, . Menegatti-e, and . Van-gool-l, One-shot person re-identification with a consumer depth camera. In Person Re-Identification, pp.161-181, 2014.

S. D. Pickup, R. P. , M. R. Et, and A. , Shrec'14 track: Shape retrieval of non-rigid 3d human models, Proc. 3DOR, pp.101-110, 2014.

P. F. Szeliski-r and . H. Salesin-d, Resynthesizing facial animation through 3d model-based tracking, Computer Vision The Proceedings of the Seventh IEEE International Conference on, pp.143-150, 1999.

M. [. Kazhdan-m, The princeton shape benchmark, Shape modeling applications, pp.167-178, 2004.

W. J. , M. K. Kumar-singh-v, . Huang-t, and . Chen-t, Bodyprint: Pose invariant 3d shape matching of human bodies, Proceedings of the IEEE International Conference on Computer Vision, pp.1591-1599, 2015.