Beauty with Variational Methods: An Optic Flow Approach to Hairstyle Simulation
- 2.2k Downloads
Although variational models offer many advantages in image analysis, their successful application to real-world problems is documented only for some specific areas such as medical imaging. In this paper we show how well-adapted variational ideas can solve the problem of hairstyle simulation in a fully automatic way: A customer in a hairdresser’s shop selects a new hairstyle from a database, and this hairstyle is automatically registered to a digital image of the customer’s face. Interestingly already a carefully modified optic flow method of Horn and Schunck turns out to be ideal for this application. These modifications include an extension to colour sequences, an incorporation of warping ideas in order to allow large deformation rates, and the inclusion of shape information that is characteristic for human faces. Employing classical numerical ideas such as finite differences and SOR iterations offers sufficient performance for real-life applications. In a number of experiments we demonstrate that our variational approach is capable of solving the hairstyle simulation problem with high quality in a fully practical setting.
KeywordsDeformation Increment Large Linear System Medical Image Registration Previous Scale Reference Face
Unable to display preview. Download preview PDF.
- 3.Bergen, J.R., et al.: Hierarchical model-based motion estimation. In: Sandini, G. (ed.) ECCV 1992. LNCS, vol. 588, pp. 237–252. Springer, Heidelberg (1992)Google Scholar
- 5.Brox, T., et al.: High accuracy optical flow estimation based on a theory for warping. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3024, pp. 25–36. Springer, Heidelberg (2004)Google Scholar
- 8.Cohen, I.: Nonlinear variational method for optical flow computation. In: Proc. Eighth Scandinavian Conference on Image Analysis, vol. 1, Tromsø, Norway, May 1993, pp. 523–530 (1993)Google Scholar
- 12.Mansouri, A.-R., Mitiche, A., Konrad, J.: Selective image diffusion: application to disparity estimation. In: Proc. 1998 IEEE International Conference on Image Processing, vol. 3, Chicago, IL, October 1998, pp. 284–288 (1998)Google Scholar
- 14.Mémin, E., Pérez, P.: A multigrid approach for hierarchical motion estimation. In: Proc. Sixth International Conference on Computer Vision, Bombay, India, January 1998, pp. 933–938. Narosa Publishing House, New Delhi (1998)Google Scholar