LAUSR

OBJECTIVE To explore the possibility of an automatic grading algorithm to detect and quantify, from selfies pictures, the subtle changes of facial signs brought by the application of a foundation. MATERIAL AND METHODS 270 Japanese differently aged women (30y to 54y) living in four different Japanese cities took selfies before, immediately and 5 hours after having applied their own foundation, with their own routine. RESULTS The analysis of 810 selfies pictures revealed (3 times x 270 women) that, prior to applications, all women presented a low grade of facial aging. In most cases, the severities of less marked facial signs, were detected and quantified, found affected by routine at different extents in all age-classes, but more intensely in the older age-class (45-54y) despite their more pronounced signs in bare skin status. In contrast, Periorbital wrinkles were detected as more severe in all age-classes at both timing, i.e., immediately and 5 hours post application as well as Nasolabial folds 5 hours post application. The amplitude of these positive or negative changes, although found of low amplitude, as decimals of the initial grades, were significantly detected. CONCLUSION This automatic system appears apt at grading subtle changes in facial aging signs brought by a foundation and could be a valuable help to the consumers of make-up products, in refining their individual procedure to obtain a more personalized desired facial appearance.