Automatic body feature extraction from a marker-less scanned human body

Iat Fai Leong, Jing-Jing Fang, Ming June Tsai

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)

Abstract

In this paper, we propose a novel method of body feature extraction from a marker-less scanned body. The descriptions of human body features mostly defined in ASTM (1999) and ISO (1989) are interpreted into logical mathematical definitions. Using these significant definitions, we employ image processing and computational geometry techniques to identify, automatically, body features from the torso cloud points. We have currently extracted 21 feature points and 35 feature lines on the human torso; this number may be extended if necessary. Moreover, less than 2 min processing time is taken for body feature extraction starting from the raw point cloud. This algorithm is successfully tested on several Asian female adults who are aged from 18 to 60.

Original languageEnglish
Pages (from-to)568-582
Number of pages15
JournalCAD Computer Aided Design
Volume39
Issue number7
DOIs
Publication statusPublished - 2007 Jul 1

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Industrial and Manufacturing Engineering

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