Year: 2004
Type: article
Abstract: Analyzing human shape variability is important for human system engineering and for animation applications where synthesizing realistic virtual humans is needed to re-create social human activities in historical and cultural context. In this paper, we present a new method for extracting main modes of variations of the human shape from a 3-D anthropometric database. Previous approaches rely on anatomical landmarks. Using a volumetric representation, we show that human shape analysis can be performed despite the lack of such information. We first introduce a technique for repairing the 3-D models from the original scans. Principal components analysis is then applied to the volumetric description of a set of human models to extract dominant components of shape variability for a target population. We demonstrate good reconstructions of the original models from a reduced number of components. We provide a visualization of the main modes of human shape variation.
Source: NPARC
Language: English
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W284293560