SEGMENTATION AND MODELLING OF FULL HUMAN BODY SHAPE FROM 3D SCAN DATA: A SURVEY

Whole human body scanners are 3D imaging devices which are capable of capturing a computerized format of whole body shape, thus permitting automatic extraction of the different body measurements. This requires the segmentation of scan data into subsets corresponding to the functional human body parts. Such a task is quite challenging due to the articulated and the deformable aspects of the human body shape. The attempts made so far suffer from various limitations, such as being restricted to standard specific posture and vulnerability to scan data corruption. This paper proposes a general framework that aims towards overcoming these challenges. One of the salient features of this framework is that it can cope with moderate posture variations around the standard posture, in addition of being quite robust against noise, holes and irregular sampling. Experimental results performed on real and synthetic data confirmed the validity, effectiveness and robustness of our framework.

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Automated System for Measuring Full Size Human Body 3D Scan

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus) ◽

10.1109/elconrus51938.2021.9396683 ◽

2021 ◽

Author(s):

Mikhail A. Golovin ◽

Marina V. Petrauskas ◽

Elizaveta V. Fogt

Keyword(s):

Human Body ◽

Automated System ◽

Full Size ◽

3D Scan

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Human body shape imaging system and its application to japanese mmono design

Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412) ◽

10.1109/imtc.2003.1208129 ◽

2004 ◽

Author(s):

T. Sano ◽

H. Yamamoto

Keyword(s):

Human Body ◽

Body Shape ◽

Imaging System

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Video-Based Human Motion Analysis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.2593 ◽

2011 ◽

Vol 403-408 ◽

pp. 2593-2597

Author(s):

Hong Bao ◽

Zhi Min Liu

Keyword(s):

Motion Analysis ◽

Human Body ◽

Body Shape ◽

Human Motion ◽

Random Motion ◽

Human Motion Analysis ◽

Mass Center ◽

Shape Features ◽

Skeleton Model ◽

Regular Motion

In the analysis of human motion, movement was divided into regular motion (such as walking and running) and random motion (such as falling down).Human skeleton model is used in this paper to do the video-based analysis. Key joints on human body were chosen to be traced instead of tracking the entire human body. Shape features like mass center trajectory were used to describe the movement, and to classify human motion. desired results achieved.

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