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In order to make clothing, furniture, cars and other products design more in line with ergonomic principles, analysis of convex and concave surface features of the human body and its measurement methods is necessary. Body surface is constituted by a number of curved surfaces and convex and concave characteristic of these surfaces can be quantified with angle value. Convex and concave characteristic of front, side and back body can obtain angle expression by quantifying. In the paper, automatic extraction of body surface angle can be obtained by using MATLAB, error analysis of extracted data is done and the results show that the method is feasible which provides basis for the development of relevant body features measurement machines and relevant industries' product design.

Based on the early basis research work such as feature size extraction of young male's digital images, somatotype and building of girth size prediction model, non-contact young male body measurement system is mixed preparation by using object-oriented VB6.0, MATLAB and database ACCESS2003. Measurement objects in the system contain young male and female body and ultimately 40 body size data can be obtained. A non-contact 2D body measurement system with simple operation and low-cost has been formed preliminary.

Sheath skirts are the most extensive wore basic and different styles of skirts can be obtained while horizontal, vertical etc. segmentation is done on sheath skirts. Skirt pattern automatic generation system is an important component in the development of two-dimensional non-contact body measurement and application system. The system only needs body front and side photos provided of clients, and allows clients to change the skirt style through the design interface so that pattern design can complete automatically. Sheath skirts pattern automatic generation is the basis to research different skirts pattern auto-generation system. This paper is to translate body size extraction procedure to a document which can be directly transferred by using MATLAB software so as to realize automatic extraction of body size based on VS language. This is the basis to research skirts pattern automatic generation system which improves the system of two-dimensional non-contact body measurement and applications.

In this research, two dimensional front and back digital camera photos are chose as objects, photos are processed by using image processing software PHOTOSHOP so that contrast of human body and background can reach the identifiable range of MATLAB. In MATLAB, automatic extraction program of human dimensions can translate into a COM file that can be called in VB.NET so as to realize auto-extraction of human dimensions from two dimensional images under the VB programming language by setting the environment variable. Non-contact automatic measurement of human body is realized in this paper which contributes to the development of human body measurement technology and provides basis and help for establishment of pattern auto-generation system and development of CAD / CAM technology.

Based on automatic extraction of human body size, this paper developed automatic pattern generation system of men's pants. The specific demand is as follows: The user needs to provide front and side photos, and makes individual design on pant style, and then the system can automatically generate the patterns according to the body type and the pant style of the user. In this study, the 2D non-contact anthropometric system is combined with automatic pattern generation system, so the automatic anthropometry and pattern generation system is developed, which can meet individual demand. The research results possess practical guidance to quick generation of individual pattern and the development of e-commerce in garment industry.

Raised chest is main body feature of female, and the rational design of chest makes a direct impact on garment aesthetics and fitness. In pattern design, the difference of chest chiefly displays in the front and back waist length. Based on 3D point-cloud data, this paper probes the relationship of the front and back waist length and human body style, and its determining method. Read and optimize the point-cloud data by image ware software, and get body feature points. Then obtain the studies, front and back waist length and chest thickness, and the angles of shoulder, chest, side and hip. Carry out data processing and analysis by SPSS to find out the angles closely related with the front and back waist length. Determine the classification of bodies, and set the coefficients to establish the regression equations of each category. Finally, verify the above-mentioned method through other studies to illustrate its rationality and precision. This study completes part of the work for the conversion from 3D garment pattern to 2D, while provides the basis for automatically pattern generation.

In this research, Point-cloud diagrams can be obtained by using 3D body scanner and then characteristic positions of the body (such as waist, abdomen and buttocks) can be confirmed. Then height of characteristic positions can be measured from diagrams by the software of Image-ware. The correlation relationship between height of characteristic positions and height can be analyzed by the software SPSS16.0. The regression relationship between the two heights can be analyzed by SPSS so as to obtain the regulation of height of characteristic positions. Compared the height obtained by simulation with which got by scanning and photo-measurement so as to verify its correction, and then to provide foundation for studying characteristics of human body sharp and to ensure some rules to the establishment of automatic generation of 3D human body prototype.