Design through cognitive color theme: A new approach for fabric design
Design through cognitive color theme: A new approach for fabric design
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DOI：
10.1109/icci-cc.2012.6311173
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发表时间：
2012-08
期刊：
影响因子：
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通讯作者：
Dejun Zheng;Yu Han;G. Baciu;Jinlian Hu
中科院分区：
文献类型：
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作者：
Dejun Zheng;Yu Han;G. Baciu;Jinlian Hu
时装设计师将色彩构成视为色调，阴影和色调的整体，通常类似于抽象或自然的主题。颜色和色调调整是最常见的织物设计操作之一。颜色和色调风格的调整是一个通用的认知过程的一部分，涉及到新的织物设计的创造。在这个过程中，一个具有挑战性的问题是给定一组与主题或主题相关的自然图像，问题是发现观察者或在我们的情况下，织物设计师感知的纹理和色调之间的潜在认知关系。这些关系最终导致颜色和色调的最佳组合，类似于原始主题，其中颜色模板是相对于相关的口头描述定义的。我们制定的面料设计过程作为一个认知过程，同时考虑多种色调，形成一个所需的主题，以及在织物的纹理特征。在本文中，我们将颜色组合和纹理知识的织物设计过程中，以自动产生的颜色组合，从一个给定的自然或抽象的主题。我们证明，使用颜色主题协会可以自动生成新的面料设计，竞争对手的复杂的商业设计，否则很难生成，即使是有经验的设计师。初步实验证实了我们的方法的有效性。
Fashion designers conceive color composition as an ensemble of tones, shades and tints that often resemble an abstract or natural theme. Color and tone adjustments are among the most frequent fabric design operations. Color and tone style adjustments are part of a generic process of cognition involved in the creation of new fabric designs. A challenging problem in this process is given a s et of natural images associated with a subject or a theme, the problem is to discover the underlying cognitive relationships that connect textures and color tones that are perceived by an observer or in our case, a fabric designer. These relationships culminate in optimal combinations of colors and tones that resemble the original theme in which a template of colors is defined with respect to an associated verbal description. We formulate the fabric design process as a cognitive process that simultaneously considers multiple color tones to form a desired theme as well as texture characteristics in the fabric. In this paper, we incorporate color assembly and texture knowledge in the fabric design process in order to automatically produce the color combinations learnt from a given natural or abstract theme. We demonstrate that the use of color theme associations can automatically generate new fabric designs that rival complex commercial designs that are otherwise difficult to generate even by experienced designers. Preliminary experiments confirm the effectiveness of our method.