TORONTO, ON--(Marketwired - Dec 16, 2015) - ModiFace, the leading provider of augmented reality technology for the beauty and medical aesthetic industries, today announces the upcoming presentation of a new skin tone and undertone detection technology that is based on a large-scale study of 364,012 users with a total of 1.6 million social media photos. The new patent-pending technology uses statistical signal processing methods to compute the lighting conditions of different photos of a user on social media from which true skin-tone is estimated.

"Every selfie that we take gives information about the lighting conditions of the photo. When you have a large set of images, under varying lighting conditions, it becomes possible to statistically remove the lighting variations and get a very good sense of your true skin tone," said Parham Aarabi, founder and CEO of ModiFace who led the study.

Based on direct feedback from 119,560 users (about 1/3 of the total users), it was found that the new skin tone estimation method resulted in a normalized average color error of 1.7% (on the CIE76 scale, the L*a*b* color error was 2.31).

Details of the new technology along with further information about the data behind it will be presented at the IEEE International Workshop on Multimedia Information Processing and Retrieval in Miami, Florida, on Wednesday December 16.

For more information, please contact: or (647-350-6525).

About ModiFace
ModiFace is the leading creator of augmented reality technology for the beauty industry, providing custom web/mobile try-on apps, in-store mirrors, and visual e-commerce. ModiFace's patented technology, which is based on over a decade of research at Stanford University, powers over 150 custom augmented reality apps for beauty brands such as Allergan, Procter and Gamble, L'Oreal, Unilever, Yves Rocher, and Sephora. For more information, visit

Contact Information:

Media Contact:
Lindsey Showalter
Uproar PR for ModiFace

321-236-0102 x225