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 proceedingChapterpeer-review

1 Citation (Scopus)


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 publicationProceedings of the 2008 6th IEEE International Conference on Industrial Informatics
Place of PublicationPiscataway, NJ
ISBN (Print)9781424421701
Publication statusPublished - 2008
Event6th IEEE International Conference on Industrial Informatics, 2008 - Daejeon
Duration: 1 Jan 2008 → …


Conference6th IEEE International Conference on Industrial Informatics, 2008
Period1/01/08 → …

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