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Abstract

This paper presents a stereo vision system for reconstructing the three-dimensional (3-D) surface of a wrinkled fabric and for detecting and characterizing wrinkles to evaluate the severity of wrinkling. The system captures a pair of images through two 10.2-megapixel digital cameras, performs subpixel stereo matching based on correlation gradients, and yields a depth resolution under 0.1 mm. The matching algorithm is realized in a regularization framework and implemented by the finite-element method, in which the disparity map is parameterized by dense bicubic B-splines. The outputs of the system include a wrinkle map that depicts the locations of the ridges of individual wrinkles and quantitative data on wrinkle density, amplitude, and sharpness for a tested sample.

Keywords

fabric wrinkles stereo vision 3-D wrinkle evaluation

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