Automatic segmentation of scanned human bodies for building LOD models

Hui Yu; Sheng-feng Qin; Guangmin Sun; David Wright

doi:10.1109/INDIN.2008.4618328

Automatic segmentation of scanned human bodies for building LOD models

Hui Yu, Sheng-feng Qin, Guangmin Sun, David Wright

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Abstract

This paper presents an effective method for segmenting and building three-dimensional (3D) human models with different levels of detail (LOD) from scanned human data. Firstly, the scanned human body is decomposed into different parts according to the topological structure of human bodies. Then a simplification algorithm is developed to generate LOD human models in terms of information extracted during segmentation. The approach proposed in this paper is capable of locating key feature points accurately and controlling detail easily.

Original language	English
Title of host publication	Proceedings of the 2008 6th IEEE International Conference on Industrial Informatics
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1426-1431
ISBN (Print)	9781424421701
DOIs	https://doi.org/10.1109/INDIN.2008.4618328
Publication status	Published - 2008
Event	6th IEEE International Conference on Industrial Informatics, 2008 - Daejeon Duration: 1 Jan 2008 → …

Conference

Conference	6th IEEE International Conference on Industrial Informatics, 2008
Period	1/01/08 → …

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10.1109/INDIN.2008.4618328

Cite this

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title = "Automatic segmentation of scanned human bodies for building LOD models",

abstract = "This paper presents an effective method for segmenting and building three-dimensional (3D) human models with different levels of detail (LOD) from scanned human data. Firstly, the scanned human body is decomposed into different parts according to the topological structure of human bodies. Then a simplification algorithm is developed to generate LOD human models in terms of information extracted during segmentation. The approach proposed in this paper is capable of locating key feature points accurately and controlling detail easily.",

author = "Hui Yu and Sheng-feng Qin and Guangmin Sun and David Wright",

year = "2008",

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AU - Yu, Hui

AU - Qin, Sheng-feng

AU - Sun, Guangmin

AU - Wright, David

PY - 2008

Y1 - 2008

N2 - This paper presents an effective method for segmenting and building three-dimensional (3D) human models with different levels of detail (LOD) from scanned human data. Firstly, the scanned human body is decomposed into different parts according to the topological structure of human bodies. Then a simplification algorithm is developed to generate LOD human models in terms of information extracted during segmentation. The approach proposed in this paper is capable of locating key feature points accurately and controlling detail easily.

AB - This paper presents an effective method for segmenting and building three-dimensional (3D) human models with different levels of detail (LOD) from scanned human data. Firstly, the scanned human body is decomposed into different parts according to the topological structure of human bodies. Then a simplification algorithm is developed to generate LOD human models in terms of information extracted during segmentation. The approach proposed in this paper is capable of locating key feature points accurately and controlling detail easily.

U2 - 10.1109/INDIN.2008.4618328

DO - 10.1109/INDIN.2008.4618328

M3 - Chapter

SN - 9781424421701

SP - 1426

EP - 1431

BT - Proceedings of the 2008 6th IEEE International Conference on Industrial Informatics

PB - IEEE

CY - Piscataway, NJ

T2 - 6th IEEE International Conference on Industrial Informatics, 2008

Y2 - 1 January 2008

ER -

Automatic segmentation of scanned human bodies for building LOD models

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