Automatic segmentation of scanned human bodies for building LOD models

Hui Yu, Shengfeng Qin, David Wright

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 languageEnglish
Title of host publication6th IEEE International Conference on Industrial Informatics, 2008. INDIN 2008
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1426 - 1431
ISBN (Electronic)9781424421718
ISBN (Print)9781424421701
Publication statusPublished - 2008


Dive into the research topics of 'Automatic segmentation of scanned human bodies for building LOD models'. Together they form a unique fingerprint.

Cite this