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Fabric Appearance Control System for Example-Based Interactive Texture and Color Design

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Published:27 March 2017Publication History
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Abstract

Texture and color are important factors of fabric appearance. A system that could intuitively manipulate and design fabric texture and color would be a very powerful tool. This article presents an interactive fabric appearance design system that modulates the texture patterns of input fabric example images and transfers the color patterns from other input images onto them. For this purpose, we propose a method to synthesize a natural texture image based on our findings from subjective experiments: (1) intensity and its deviation of two input images are significantly related to the realistic appearance of synthesized textures and (2) the spatial-frequency and edge intensity of two different input images significantly influence the natural appearance of synthesized texture perception. In our procedure, first, the texture pattern of an input fabric image is modulated in terms of undulation, thickness, and roughness. Next, we transfer the color pattern of an original color image onto the modulated texture pattern in the YIQ color space. To perform this color transfer, we use the IQ component of the color image. To reduce the unnatural appearance of the output color-transfer image, we remove the high-frequency components of the original color image. In addition, the Y component of the color-transfer image is obtained by adding the deviation of the texture pattern Y component to the texture pattern of the color image. These algorithms for reducing unnaturalness and synthesizing images were developed based on our findings from several subjective experiments on natural appearance. Finally, we implemented our algorithm on a smart device. Our system allows us to interactively design the texture and color of fabric by using images.

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  1. Fabric Appearance Control System for Example-Based Interactive Texture and Color Design

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          • Published in

            cover image ACM Transactions on Applied Perception
            ACM Transactions on Applied Perception  Volume 14, Issue 3
            July 2017
            148 pages
            ISSN:1544-3558
            EISSN:1544-3965
            DOI:10.1145/3066910
            Issue’s Table of Contents

            Copyright © 2017 ACM

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            Publication History

            • Published: 27 March 2017
            • Accepted: 1 January 2017
            • Revised: 1 December 2016
            • Received: 1 April 2016
            Published in tap Volume 14, Issue 3

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