Clothed and Naked Human Shapes Estimation from a Single Image

  • Yu Guo
  • Xiaowu Chen
  • Bin Zhou
  • Qinping Zhao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7633)


This paper presents a novel method to simultaneously estimate the clothed and naked 3D shapes of a person. The method needs only a single photograph of a person wearing clothing. Firstly, we learn a deformable model of human clothed body shapes from a database. Then, given an input image, the deformable model is initialized with a few user-specified 2D joints and contours of the person. And the correspondence between 3D shape and 2D contours is established automatically. Finally, we optimize the parameters of the deformable model in an iterative way, and then obtain the clothed and naked 3D shapes of the person simultaneously. The experimental results on real images demonstrate the effectiveness of our method.


human shape deformable model shape-from-contours 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Allen, B., Curless, B., Popović, Z.: The space of human body shapes: reconstruction and parameterization from range scans. In: SIGGRAPH, pp. 587–594 (2003)Google Scholar
  2. 2.
    Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., Davis, J.: Scape: shape completion and animation of people. ACM TOG 24(3), 408–416 (2005)CrossRefGoogle Scholar
  3. 3.
    Balan, A.O., Sigal, L., Black, M.J., Davis, J.E., Haussecker, H.W.: Detailed human shape and pose from images. In: CVPR (2007)Google Scholar
  4. 4.
    Bălan, A.O., Black, M.J.: The Naked Truth: Estimating Body Shape Under Clothing. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 15–29. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  5. 5.
    Chen, Y., Kim, T.-K., Cipolla, R.: Inferring 3D Shapes and Deformations from Single Views. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part III. LNCS, vol. 6313, pp. 300–313. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  6. 6.
    Grochow, K., Martin, S.L., Hertzmann, A., Popović, Z.: Style-based inverse kinematics. In: SIGGRAPH, pp. 522–531 (2004)Google Scholar
  7. 7.
    Guan, P., Weiss, A., Bălan, A.O., Black, M.J.: Estimating human shape and pose from a single image. In: ICCV (2009)Google Scholar
  8. 8.
    Hasler, N., Ackermann, H., Rosenhahn, B., Thormählen, T., Seidel, H.-P.: Multilinear pose and body shape estimation of dressed subjects from image sets. In: CVPR, pp. 1823–1830 (2010)Google Scholar
  9. 9.
    Hasler, N., Stoll, C., Sunkel, M., Rosenhahn, B., Seidel, H.-P.: A statistical model of human pose and body shape. In: CGF (Proc. EG 2008), vol. 2 (March 2009)Google Scholar
  10. 10.
    Kraevoy, V., Sheffer, A., van de Panne, M.: Modeling from contour drawings. In: SBIM, pp. 37–44 (2009)Google Scholar
  11. 11.
    Sigal, L., Balan, A.O., Black, M.J.: Combined discriminative and generative articulated pose and non-rigid shape estimation. In: NIPS (2007)Google Scholar
  12. 12.
    Sumner, R.W., Popović, J.: Deformation transfer for triangle meshes. ACM TOG 23(3), 399–405 (2004)CrossRefGoogle Scholar
  13. 13.
    Wei, X., Chai, J.: Intuitive interactive human-character posing with millions of example poses. IEEE Comput. Graph. Appl. 31(4), 78–88 (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Yu Guo
    • 1
  • Xiaowu Chen
    • 1
  • Bin Zhou
    • 1
  • Qinping Zhao
    • 1
  1. 1.State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and EngineeringBeihang UniversityBeijingP.R. China

Personalised recommendations