This paper focuses on a new method to classify and convert the lower-body features of young females into the rules of individualized elements that are necessary for pant pattern design. Approaches used to develop a customized apparel pattern and their advantages and disadvantages are discussed in the literature review. Subsequently, a new method to analyze lower-body features for the development of individualized pant patterns is presented. The main method involved is the classification of certain body features into grades that provided alternatives for different body shapes, and the use of elements that are needed for pattern-making but that are difficult to measure directly in a three-dimensional image to predict the girths, half-girths and the other key measurements of a body. Three sets of rules were derived from this method: (a) individualized rules on height to classify the height at a feature into different grades, which help to find the location of the feature based on the height of a body; (b) individualized rules on girth to sort the thickness/width ratio of different cross-sections into grades at different features, which predict the girth of a characteristic feature from the thickness and the width of a feature; and (c) individualized rules on the crotch to find the relationship between the length of the measuring line at the divided points and the thickness of a certain girth, which reveal the individuality of the crotch and benefit the development of an individualized pant pattern. The method presented has the potential to realize individuality in female pant design by converting lower-body features into grades and establishing relationships with personalized parameters. This method can reduce the complexity of customization in pattern design.
A method was demonstrated to develop a personalized pattern of pant from 3D scanning data. There were three main steps to complete the purpose: 1) realization of individuality of a body; 2) description of distribution of ease allowance at characteristic features; and 3) a method to alter a basic pant pattern to develop a personalized one.
When we examine the development history of visual transmission design, we can see that media technology application and visual transmission design innovation are frequently intertwined. The relevant work outcomes attained during the process of art design practice typically exhibit the traits of dynamic and dynamic performance with a clear degree of expression, against the backdrop of the practical advancement and widespread use of developing media technology. In light of the influence of new media art, it is essential to understand the development trend of art design in order to perform well in visual transmission design. The audience will be given access to more varied and richer visual transmission information thanks to the wise deployment of multimedia techniques. This work develops a three-dimensional picture reconstruction algorithm based on the visual transmission phenomenon. The relative error, matching degree, and signal-to-noise ratio were chosen as evaluation indices. Three sets of tests were conducted to determine how noiseless image, noisy image, and various sampling frequencies affected the quality of the reconstructed image. The testing results demonstrate that the three-dimensional picture rebuilding system has a 22.34% higher antinoise ability and has a significantly superior overall effect than the conventional three-dimensional image rebuilding system. It offers greater practical application value and does a decent job of keeping image details and edges.
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