Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Master Thesis: Human Shape Adaptation with Skeletons and Pressure Measurement

Student: -
Advisor: Prof. Dr. Nassir Navab
Supervised by: Chun-Hao Paul Huang, Dr. Stefanie Demirci, Dr. Diana Mateus


Human shape recovery can in general be categorized in two classes: top-down vs. bottom-up. The former estimates poses by deforming a pre-defined 3D humanoid template non-rigidly frame by frame and avoids unreasonable poses by enforcing constraints on surface deformations. The latter starts with the detected 2D body parts or skeletons, then back-projects the points into 3D space either via depth data or triangulating multiple views. While the top-down scenario has been widely covered and applied in multiple view studios, e.g., Kinovis, the bottom-up approach is less studied and discussed.

In this project, we aim at advancing the bottom-up approach. Specifically, one first recovers rough 3D skeletal poses with state-of-the-art bottom-up approach as initialization, and deform pre-defined human surfaces to fit to those poses. The generic human surface has to be adapted according to the size/scale of the skeleton, so as to yield correct anthropometric measurements (height, length of arms and circumference of waists, etc), as depeicted in the left figure. Skeleton-based animation such as linear-blend skinning, dual-quaternion-blend skinning is also worthwhile a look.

Furthermore, besides relying on skeletal poses, we would also like to investigate the possibility of adjusting/refining human shapes according to the pressure measurements, as shown in the right figure.

considering neighbors when drawing predictions considering neighbors when drawing predictions


  • The student should have experience in C++ and/or Matlab.
  • Knowledge in optimization and mesh processing is also helpful.

Literature & Resource

MPI Perceiving Systems:
  • SCAPE: Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., & Davis, J., SCAPE: shape completion and animation of people. In ACM Transactions on Graphics (TOG) 2005 (Vol. 24, No. 3, pp. 408-416).
  • MoSh?: Loper, M., Mahmood, N., & Black, M. J., MoSh?: Motion and shape capture from sparse markers. ACM Transactions on Graphics (TOG), 33(6), 220. 2014.
  • SMPL: Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., & Black, M. J., SMPL: a skinned multi-person linear model. ACM Transactions on Graphics (TOG) 2015, 34(6), 248.
  • Dyna: Pons-Moll, G., Romero, J., Mahmood, N., & Black, M. J., Dyna: A model of dynamic human shape in motion. ACM Transactions on Graphics (TOG) 2015, 34(4), 120.
  • Rupprecht, C., Pauly, O., Theobalt, C., & Ilic, S., 3d semantic parameterization for human shape modeling: Application to 3d animation. In 3DV 2013.
Skinning method:
  • Kavan, L., Collins, S., ˇįra, J., & O'Sullivan, C., Geometric skinning with approximate dual quaternion blending. ACM Transactions on Graphics (TOG) 2008, 27(4), 105.
  • Ye, M., & Yang, R., Real-time simultaneous pose and shape estimation for articulated objects using a single depth camera. In CVPR 2014 (pp. 2345-2352).


Title: Human Shape Adaptation with with skeletons and pressure measurement
Director: Prof. Nassir Navab
Supervisor: Chun-Hao Paul Huang, Dr. Stefanie Demirci, Dr. Diana Mateus
Type: DA/MA/BA
Status: open
Thesis (optional):  

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