Modeling and realization for appearance visualization of Textronic laces

Abstract

A computing approach based on the warp-knitted fabric structure was presented in this paper to visualize Textronic laces by taking a fall-plate lapping in one course as a targeted unit. Its geometric description was firstly presented on both the projection plane and normal plane of structure depth. Based on this and an improved Blinn–Phong reflection model, illuminative interaction along the yarn width and lapping length was separately studied and then overlaid with empirical weight coefficients to fit a function to solve fall-plate lapping facial illumination. Because the displayed facial feature was illustrated by distinguishing pixels on screen, the continuous solved function was discretized into average grids and each grid was integrating to obtain segmental appearance variation. The variation was then mapped from a Cartesian coordinate to a screen coordinate of pixels to be displayed, while the hidden lapping was eliminated according to the depth-buffer algorithm.