Visual perception of surface wrinkles.
To study the relationship between visual perception of magnitude of wrinkles and geometrical parameters of surfaces, four potentially relevant parameters of the surface profile were considered: the variance (sigma2), the cutting frequency (Fc), the effective disparity curvature (Dce) of the wrinkled surface over the eyeball distance of the observer, and the frequency component of the disparity curvature (Dcf). Analysis of garment seams with varying amount of pucker showed that, while the logarithm for each of these four parameters has a strong linear relationship with the visually perceived magnitude of wrinkles, following the Fechner Law, the effective disparity curvature (Dce) and the frequency component of the disparity curvature (Dcf) with visual perception appeared stronger. This modeling may be an objective method for measuring magnitude of surface wrinkles.
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China. tcfanjt@inet.polyu.edu.hk
Jintu
J
Fan
Fu
F
Liu
D003020:Clothing; D004193:Discrimination Learning; D004215:Distance Perception; D006801:Humans; D007600:Judgment; D008962:Models, Theoretical; D010364:Pattern Recognition, Visual; D013499:Surface Properties; D013784:Textiles; D015357:Vision Disparity