This paper describes the concept of reverse engineering and the workflow of reverse modeling software — imageware. Using the powerful function of point cloud data processing in imageware, it achieves point cloud data pre-processing, point cloud segmenting, contour curve fitting and surface reconstructing of the human body. Finally, it makes the error evaluation of the surface model. This study may provide original design basis for related research.

With the social mass production of garment industry, the same style clothing requires organizing production in various specifications or size series to meet the different needs of consumers. Fast, accurate and flexible automatic grading technology has become the research hotspot, and the scientific size table is the basis of this technology. This study collects the size data of 251 female college students. Then make the body type classification and gain the size table of intermediate type and the increment of each body type. This study provide the basis for MTM automatically parameter table of young female university students to establish a pattern grading system.

In this paper, Kernel Fisher discriminant analysis and affine moment invariants are presented for recognizing the reference points on fabric surface. The planar images and spatial images of reference points that are indexed and attached on fabric are acquired by camera at different angle and focus, subsequently, the binary image of reference points are extracted by a series of algorithms such as filter, enhancement and binaryzation etc. Experimental result shows Kernel Fisher discriminant analysis has the better recognition ratio than routine nearest distance discriminant method. Correction recognition of reference points is the important step for the matching of multi-images and reconstruction of fabric surface morphology which provide the more information for fabric drape performance evaluation.

This study aims to investigate the anthropometric feature of young women aged between 18 and 25 from Northeastern China, and compare the difference between the young Northeastern China women and the national adult females. More than 400 young Northeastern China women were measured, and the body data were collected by mix-measurement of 3D scanner and manual method, and the main sizes were extracted to descript the total anthropometric characterizes. The high mean value of the Northeastern young women is 162.3 CM, which is 5.75 CM higher than the national adult females. In the high direction, the other mean values of the samples are variously higher than the national adult females. Overall, the young Northeastern China women are taller than the national adult females and well proportioned. In the width direction, the mean values of bust, waist and neck of the 18-25 years old young women are larger than the national adult females, except the hip.