Application Two-Dimensional Pattern Development of Cycling Tights based on the Three-Dimensional Body Scan Data of High School Male Cyclist

2020 ◽  
Vol 22 (5) ◽  
pp. 595-606
Author(s):  
Hyunjeong Park ◽  
Wolhee Do
Keyword(s):  
High School ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Body Scan ◽  
Pattern Development ◽  
Scan Data

Development of bulletproof pad design system using 3D body scan data

2019 ◽  
Vol 31 (6) ◽  
pp. 802-812
Author(s):  
Yeong Hoon Kang ◽  
Sungmin Kim
Keyword(s):  
Three Dimensional ◽  
Upper Body ◽  
Design System ◽  
Standard Normal Distribution ◽  
Shape Modification ◽  
Body Scan ◽  
Content Type ◽  
Standard Normal ◽  
Scan Data ◽  
Definition Of

Purpose The purpose of this paper is to develop a system to design a bulletproof pad for chest protection using three-dimensional body scan data. Design/methodology/approach Body data were divided into arbitrary number of groups based on the standard normal distribution theory, considering the width and height of the upper body. Several parameters were used to define the cover area of the bulletproof pad, and the shape of this area of each model in a group was averaged to generate the standard bulletproof pad model for that group. Findings It is possible to use three-dimensional body scan data in the design process of a mass-customized bulletproof pad for chest protection. Practical implications It is expected that it would be possible to design not only bulletproof pad but also many kinds of body-related products that need to reflect the shape of body using the methodology developed in this study. Social implications Using this system, the mass customization of special garments and equipment would be possible, which will improve the wearers’ comfort and work efficiency. Originality/value Three-dimensional body measurement, parametric definition of cover area and user interface for shape modification developed in this study will facilitate the consumer-oriented product design.

The Method and Implementation of Three-Dimensional Laser Scanning Pipeline Scan Data Outliers Excluded

2013 ◽  
Vol 864-867 ◽  
pp. 2760-2763
Author(s):  
Zhi Liang Li ◽  
He Sheng Zhang ◽  
Qi Wu
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Handling Characteristics ◽  
Gross Error ◽  
Error Elimination ◽  
Scan Data

This article is based on three-dimensional laser scanning technology for the modeling of a chemical plant piping, scanned point cloud data with a lot of blunders, comprehensive analysis of the point cloud handling characteristics and stage of maturity of two-dimensional graphics. As a result, a concept of transforming the point cloud data with three dimensional to two-dimensional is formed. Then, according to point and circle positional relationship in the same plane, derived an Algorithm about Gross Error Elimination, finally, programming and achieve it.

Image Warping of Three-Dimensional Body Scan Data

2003 ◽  
Author(s):  
Melinda M. Cerney ◽  
Dean C. Adams ◽  
Judy M. Vance
Keyword(s):  
Three Dimensional ◽  
Image Warping ◽  
Body Scan ◽  
Scan Data

Development of helmet mold design system using 3D anthropometric analysis

2019 ◽  
Vol 32 (3) ◽  
pp. 446-456
Author(s):  
Yeonghoon Kang ◽  
Sungmin Kim
Keyword(s):  
Human Body ◽  
Three Dimensional ◽  
Design System ◽  
Standard Normal Distribution ◽  
Body Scan ◽  
Content Type ◽  
Vertex Point ◽  
Standard Normal ◽  
Customized Production ◽  
Scan Data

Purpose The purpose of this paper is to develop a software can generate helmet mold from three-dimensional (3D) human body scan data. Design/methodology/approach An algorithm has been developed to divide data into arbitrary number of groups considering the width, length and height of head using the standard normal distribution theory. A basic helmet mold is generated automatically based on the shape of representative convex hull for each group. Findings It is possible to analyze the 3D human body scan data of groups with various characteristics and apply them to mass customized production of helmet. Practical implications This methodology can be applied for designing other products related to the head shape such as goggles and masks by varying the measurement items of the head. Social implications This methodology will enable mass customized production centered on consumers in the production and design of various equipment and goods to be worn on the head. Originality/value An algorithm has been developed to define the vertex point, which is the limit of scan data, for the analysis of 3D human body scan data scan data. In addition, a system was developed that can mass-produce customized products by effectively dividing groups while taking into account the physical characteristics of consumers.

Analysis of human body surface shape using parametric design method

2015 ◽  
Vol 27 (3) ◽  
pp. 434-446 ◽  
Author(s):  
Sungmin Kim
Keyword(s):  
Body Surface ◽  
Parametric Design ◽  
Design Method ◽  
Three Dimensional ◽  
Complex Surface ◽  
Surface Shape ◽  
Body Scan ◽  
Content Type ◽  
Scan Data ◽  
Time Required

Purpose – The purpose of this paper is to analyze automation of body surface shape. Design/methodology/approach – Numerous body landmarks are detected automatically. Body surface can be subdivided into multiple patches in a consistent manner using parametric design method. Findings – Complex surface shape of various human bodies can be analyzed easily and consistently. Research limitations/implications – The proposed method may not be applicable for a body with the shape which significantly differs from that of an average body. Practical implications – This method can greatly reduce the time required to analyze the surface shape of a three dimensional body scan data. Originality/value – The analysis of body surface shape is one of the most important processes especially in designing close fitting garments. The parametric design of body surface patches will facilitate the analysis of numerous body scan data.

Three-Dimensional Body Scan Data Analysis

2008 ◽  
Vol 26 (3) ◽  
pp. 227-252 ◽  
Author(s):  
Adriana Petrova ◽  
Susan P. Ashdown
Keyword(s):  
Data Analysis ◽  
Three Dimensional ◽  
Body Scan ◽  
Scan Data

When up is down and down is up: Body orientation, proximity, and gestures as resources

2002 ◽  
Vol 31 (1) ◽  
pp. 1-28 ◽  
Author(s):  
WOLFF-MICHAEL ROTH ◽  
DANIEL V. LAWLESS
Keyword(s):  
High School ◽  
Three Dimensional ◽  
School Science ◽  
Body Orientation ◽  
High School Science ◽  
Two Dimensional ◽  
Science Classrooms ◽  
Different Types ◽  
Science Classes

This article is concerned with understanding situations in which speakers talk in the presence of scientific inscriptions (lectures in science classes, public presentations). Drawing on extensive video materials accumulated in middle and high school science classrooms and university lectures, we develop a framework for the resources speakers make available to their audience for understanding what the talk is about. We distinguish three situations according to the nature of reference to the phenomenon talked about: (i) talk is about phenomenon but mediated by reference to a two-dimensional (2-D) inscription; (ii) talk is about phenomenon but mediated by reference to a three-dimensional (3-D) inscription; and (iii) talk is directly about phenomenon. Associated with these three situations are different body orientations, distances from inscriptions, and types of gestures. When speakers laminate talk characteristic of two different types of situations, the orientation “up” can become “down” and “down” can become “up,” potentially leading to confusing statements.

High Resolution Microscopy of Multi-Layered Biological Crystals

1982 ◽  
Vol 40 ◽  
pp. 80-83
Author(s):  
H.A. Cohen ◽  
T.W. Jeng ◽  
W. Chiu
Keyword(s):  
High Resolution ◽  
Low Dose ◽  
Three Dimensional ◽  
Data Interpretation ◽  
Two Dimensional ◽  
Biological Objects ◽  
Density Maps ◽  
Density Map ◽  
Complex Crystal ◽  
High Resolution Microscopy

This tutorial will discuss the methodology of low dose electron diffraction and imaging of crystalline biological objects, the problems of data interpretation for two-dimensional projected density maps of glucose embedded protein crystals, the factors to be considered in combining tilt data from three-dimensional crystals, and finally, the prospects of achieving a high resolution three-dimensional density map of a biological crystal. This methodology will be illustrated using two proteins under investigation in our laboratory, the T4 DNA helix destabilizing protein gp32*I and the crotoxin complex crystal.

Instrumentation For Quantitative Microscopy

1977 ◽  
Vol 35 ◽  
pp. 206-209
Author(s):  
B. Ralph ◽  
A.R. Jones
Keyword(s):  
Volume Fraction ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Automatic Data ◽  
Phase Volume Fraction ◽  
Statistical Confidence ◽  
Resultant Data ◽  
Automatic Data Collection ◽  
Third Dimension ◽  
Evolution Of Microstructure

In all fields of microscopy there is an increasing interest in the quantification of microstructure. This interest may stem from a desire to establish quality control parameters or may have a more fundamental requirement involving the derivation of parameters which partially or completely define the three dimensional nature of the microstructure. This latter categorey of study may arise from an interest in the evolution of microstructure or from a desire to generate detailed property/microstructure relationships. In the more fundamental studies some convolution of two-dimensional data into the third dimension (stereological analysis) will be necessary.In some cases the two-dimensional data may be acquired relatively easily without recourse to automatic data collection and further, it may prove possible to perform the data reduction and analysis relatively easily. In such cases the only recourse to machines may well be in establishing the statistical confidence of the resultant data. Such relatively straightforward studies tend to result from acquiring data on the whole assemblage of features making up the microstructure. In this field data mode, when parameters such as phase volume fraction, mean size etc. are sought, the main case for resorting to automation is in order to perform repetitive analyses since each analysis is relatively easily performed.

A linearity test for thick specimens imaged by HVEM over a 180° angular range

1991 ◽  
Vol 49 ◽  
pp. 552-553
Author(s):  
Yu Liu
Keyword(s):  
Phase Contrast ◽  
Three Dimensional ◽  
Angular Range ◽  
Two Dimensional ◽  
Back Projection ◽  
Line Integral ◽  
Exponential Law ◽  
Transmission Electron ◽  
Absorption Law ◽  
Linearity Test

The image obtained in a transmission electron microscope is the two-dimensional projection of a three-dimensional (3D) object. The 3D reconstruction of the object can be calculated from a series of projections by back-projection, but this algorithm assumes that the image is linearly related to a line integral of the object function. However, there are two kinds of contrast in electron microscopy, scattering and phase contrast, of which only the latter is linear with the optical density (OD) in the micrograph. Therefore the OD can be used as a measure of the projection only for thin specimens where phase contrast dominates the image. For thick specimens, where scattering contrast predominates, an exponential absorption law holds, and a logarithm of OD must be used. However, for large thicknesses, the simple exponential law might break down due to multiple and inelastic scattering.

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