“Modeling Vellus Facial Hair from Asperity Scaering Silhouees”
Conference:
Type(s):
Entry Number: 27
Title:
- Modeling Vellus Facial Hair from Asperity Scaering Silhouees
Presenter(s)/Author(s):
Abstract:
We present a technique for modeling the vellus hair over the face based on observations of asperity scattering along a subject’s silhouette. We photograph the backlit subject in profile and three-quarters views with a high-resolution DSLR camera to observe the vellus hair on the side and front of the face and separately acquire a 3D scan of the face geometry and texture. We render a library of backlit vellus hair patch samples with different geometric parameters such as density, orientation, and curvature, and we compute image statistics for each set of parameters. We trace the silhouette contour in each face image and straighten the backlit hair silhouettes using image resampling. We compute image statistics for each section of the facial silhouette and determine which set of hair modeling parameters best matches the statistics. We then generate a complete set of vellus hairs for the face by interpolating and extrapolating the matched parameters over the skin. We add the modeled vellus hairs to the 3D facial scan and generate renderings under novel lighting conditions, generally matching the appearance of real photographs.
References:
Thabo Beeler, Bernd Bickel, Gioacchino Noris, Paul Beardsley, Steve Marschner, Robert W Sumner, and Markus Gross. 2012. Coupled 3D reconstruction of sparse facial hair and skin. ACM Transactions on Graphics (TOG) 31, 4 (2012), 117.Google ScholarDigital Library
Jan Koenderink and Sylvia Pont. 2003. The Secret of Velvety Skin. Mach. Vision Appl. 14, 4 (Sept. 2003), 260–268. Google ScholarDigital Library
Stephen R Marschner, Henrik Wann Jensen, Mike Cammarano, Steve Worley, and Pat Hanrahan. 2003. Light scattering from human hair fibers. In ACM Transactions on Graphics (TOG), Vol. 22. ACM, 780–791.Google ScholarDigital Library
Sylvain Paris, Hector M Briceño, and François X Sillion. 2004. Capture of hair geometry from multiple images. In ACM Transactions on Graphics (TOG), Vol. 23. ACM, 712–719.
Acknowledgements:
The authors wish to thank Randy Hill, Kathleen Haase, Christina Trejo, Marcel Ramos, and Dai Liu for their support of this work. is work was sponsored by the U.S. Army Research Laboratory (ARL) under contract W911NF-14-D-0005. e content of the information does not necessarily react the position or the policy of the Government, and no social endorsement should be inferred.
