Fabrics of different thickness were selected and made into notch lapels in the experiment. The variation between the outside and inside lapel patterns after the lapel being folded was observed and measured. Besides,ma...Fabrics of different thickness were selected and made into notch lapels in the experiment. The variation between the outside and inside lapel patterns after the lapel being folded was observed and measured. Besides,many factors leading to the variation were analyzed. Then the relation between fold angle and fabric thickness,and the variation of fabric thickness were obtained. The experimental results prove that the biggest horizontal variation between the outside lapel and inside lapel is at the breast line,and when the measuring point is above (or below) the breast line level,the farther it is away from the level,the smaller the variation becomes. In addition,conclusions can be drawn that the thicker the fabric is,the bigger the curve variation will be,and there is a certain mathematic relation between them.展开更多
Taking lapels as examples,the purpose of this paper is to study the problem of recognizing the same clothing component in the flat sketches. Supposing that the four lines in a lapel are concurrent and symmetrical,a ma...Taking lapels as examples,the purpose of this paper is to study the problem of recognizing the same clothing component in the flat sketches. Supposing that the four lines in a lapel are concurrent and symmetrical,a mathematical lapel model is built. Then,a novel method for lapel recognition in fashion flat sketches based on the lapel model is proposed. In the image preprocessing stage, the images need to be cropped for two times in order to remove the blank background and extract the region of interest,respectively. In the concurrent recognition stage,line detection,θ selection,and curve fitting are applied to limiting candidate lines. In the symmetrical recognition stage, k-means clustering algorithm is employed to divide the selected lines into four clusters. The threshold values of the difference of corresponding weighted θ are set as lapel recognition criteria. Experiments demonstrate that the recognition accuracy of the proposed method is obtained at about 91. 7%.展开更多
本文探讨了CLIL(Content and Language Integrated Learning)4Cs语言模型与AIGC技术在赣南客家襟边缘饰数字设计中的应用。研究分析了赣南客家服饰的襟边缘饰特点,对襟饰的表象特征与隐性语义进行解读,并通过CLIL4Cs框架提取相关语言表...本文探讨了CLIL(Content and Language Integrated Learning)4Cs语言模型与AIGC技术在赣南客家襟边缘饰数字设计中的应用。研究分析了赣南客家服饰的襟边缘饰特点,对襟饰的表象特征与隐性语义进行解读,并通过CLIL4Cs框架提取相关语言表达元素进行数字化的设计。CLIL4Cs为襟边缘饰的设计提供了系统的语言指令模型,提升了设计的准确性和多样性,同时为传统文化元素的数字化传承提供参考。展开更多
文摘Fabrics of different thickness were selected and made into notch lapels in the experiment. The variation between the outside and inside lapel patterns after the lapel being folded was observed and measured. Besides,many factors leading to the variation were analyzed. Then the relation between fold angle and fabric thickness,and the variation of fabric thickness were obtained. The experimental results prove that the biggest horizontal variation between the outside lapel and inside lapel is at the breast line,and when the measuring point is above (or below) the breast line level,the farther it is away from the level,the smaller the variation becomes. In addition,conclusions can be drawn that the thicker the fabric is,the bigger the curve variation will be,and there is a certain mathematic relation between them.
文摘Taking lapels as examples,the purpose of this paper is to study the problem of recognizing the same clothing component in the flat sketches. Supposing that the four lines in a lapel are concurrent and symmetrical,a mathematical lapel model is built. Then,a novel method for lapel recognition in fashion flat sketches based on the lapel model is proposed. In the image preprocessing stage, the images need to be cropped for two times in order to remove the blank background and extract the region of interest,respectively. In the concurrent recognition stage,line detection,θ selection,and curve fitting are applied to limiting candidate lines. In the symmetrical recognition stage, k-means clustering algorithm is employed to divide the selected lines into four clusters. The threshold values of the difference of corresponding weighted θ are set as lapel recognition criteria. Experiments demonstrate that the recognition accuracy of the proposed method is obtained at about 91. 7%.
文摘本文探讨了CLIL(Content and Language Integrated Learning)4Cs语言模型与AIGC技术在赣南客家襟边缘饰数字设计中的应用。研究分析了赣南客家服饰的襟边缘饰特点,对襟饰的表象特征与隐性语义进行解读,并通过CLIL4Cs框架提取相关语言表达元素进行数字化的设计。CLIL4Cs为襟边缘饰的设计提供了系统的语言指令模型,提升了设计的准确性和多样性,同时为传统文化元素的数字化传承提供参考。
