Digital face makeup by example

This paper introduces an approach of creating face makeup upon a face image with another image as the style example. Our approach is analogous to physical makeup, as we modify the color and skin detail while preserving the face structure. More precisely, we first decompose the two images into three layers: face structure layer, skin detail layer, and color layer. Thereafter, we transfer information from each layer of one image to corresponding layer of the other image. One major advantage of the proposed method lies in that only one example image is required. This renders face makeup by example very convenient and practical. Equally, this enables some additional interesting applications, such as applying makeup by a portraiture. The experiment results demonstrate the effectiveness of the proposed approach in faithfully transferring makeup.

[1]  Frédo Durand,et al.  Flash photography enhancement via intrinsic relighting , 2004, SIGGRAPH 2004.

[2]  Matthew Brand,et al.  A conditional random field for automatic photo editing , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[3]  Fabien Baron,et al.  Makeup Your Mind , 2001 .

[4]  Norimichi Tsumura,et al.  Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin , 2003, ACM Trans. Graph..

[5]  David Salesin,et al.  Image Analogies , 2001, SIGGRAPH.

[6]  Dani Lischinski,et al.  Data-driven enhancement of facial attractiveness , 2008, SIGGRAPH 2008.

[7]  Zeev Farbman,et al.  Edge-preserving decompositions for multi-scale tone and detail manipulation , 2008, SIGGRAPH 2008.

[8]  Chi-Keung Tang,et al.  Example-Based Cosmetic Transfer , 2007 .

[9]  Fred Nicolls,et al.  Locating Facial Features with an Extended Active Shape Model , 2008, ECCV.

[10]  Roberto Manduchi,et al.  Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[11]  Frédéric Labrosse,et al.  On the Separation of Luminance from Colour in Images , 2005, VVG.

[12]  Bobby Bodenheimer,et al.  Synthesis and evaluation of linear motion transitions , 2008, TOGS.

[13]  Helmut Pottmann.  Geometric Computing in Shape Space , 2007 .

[14]  Fred L. Bookstein,et al.  Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Zicheng Liu,et al.  Image-Based Surface Detail Transfer , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[16]  Patrick Pérez,et al.  Poisson image editing , 2003, ACM Trans. Graph..

[17]  Xiaopeng Zhang,et al.  Enhancing photographs with Near Infra-Red images , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.