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As a first step towards objective evaluation of garment appearance, the present work considered seams on three‐dimensional surfaces which simulate actual garment surfaces. The geometric profiles of the 3‐D seams were scanned using a laser scanner. 1‐D and 2‐D digital filters were applied to obtain pucker signals from the geometric profiles by removing “high frequency” components due to fabric surface texture and “low frequency” components due to garment silhouette and drape. The advantages and disadvantages of the 1‐D and 2‐D digital filters are compared. Four physical parameters are examined to see their relevance to the subjective pucker grade. It was found that log(σ2), i.e. the logarithm of the variance of the heights of pucker signals, is the best set of physical parameters for the objective evaluation of seam pucker. In addition, latest attempts at capturing and analyzing 3D garment image using a Cyberware laser scanner and Surfacer software are reported.

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