Open AccessAutomatic Estimation of Body Measurements to Extract the Size and Body Shape
Author(s) -
Mong Hien Thi Nguyen,
Minh Hieu Tran
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b3262.1211221
Subject(s) - girth (graph theory) , table (database) , computer science , algorithm , fuzzy logic , interpolation (computer graphics) , lookup table , face (sociological concept) , sizing , computer vision , mathematics , artificial intelligence , data mining , motion (physics) , art , social science , combinatorics , sociology , visual arts , programming language
This paper presents the research results of automatic estimation of the neck girth and inside leg to extract the size and body shape from the male sizing system table. The data used in the study is the 3D scan file *.obj from the 3D body scanner. The author uses the interpolation and optimization method in the algorithm to automatically extract 2 primary dimensions combined with the fuzzy logic method to extract sizes, body shapes. Besides, rotate matrix method combines with the optimal function used to write an algorithm to estimate the neck girth, inside leg measurements. Furthermore, a simple approach based on vertices and surface normal vectors data and optimal search was adapted to estimate the neck girth and inside leg measurements. These extraction results will be linked to the algorithm of the fuzzy logic to run for the automated process. This automatic algorithm will be very useful in face-to-face clothing purchases or online or for garment manufacturers in reducing shopping time and choosing sizes to design samples for customers.