Research Progress in Garment Contours Recognition and Quantification
The garment contour quantification is a prerequisite for the intelligent design and production of garments.This paper introduces the process and methods of garment contour quantification,including traditional methods and artificial intelligence-based quantification methods.It summarized the garment contour quantification method based on feature para-meter recognition and mathematical formula calculations,explored the research method of contour quantification based on scanning and other technologies to construct 3D garment models,and analyzed its advantages and disadvantages.Moreover,it summarizes the garment contour quantification based on machine learning and generative network methods.Currently,most research on the quantification of clothing contours uses simple clothing samples.The study results are applied in classification and other fields,but there is relatively insufficient application in specific numerical reasoning and judgment for each part of clothing,often remaining qualitative.The study suggests that future research can comprehensively consider various factors such as silhouette modeling,clothing styles and fabrics,and combine them with artificial intelligence tech-nology to advance towards intelligence and automation.
万方数据
维普
