Melinda M. Cerney
Virtual Reality Applications Center
Iowa State University
Ames, Iowa 50011
Judy M. Vance
Virtual Reality Applications Center
Iowa State University
Ames, Iowa 50011-2160
Dean C. Adams
Department of Zoology and Genetics
Department of Statistics
Iowa State University
SAE Digital Human Modeling Conference Proceedings, Montreal, Canada, June 16-19, 2003.
Abstract
This paper details the application of three-dimensional image warping techniques to full body scan data. Borrowed from the toolbox of Geometric Morph-ometrics.methods commonly used to quantify the size and shape of anatomical object in biological research.image unwarping transforms a given image such that relevant landmark positions of the start image coincide with their positions in the consensus or target configuration. This study demonstrates the process of transforming static scan data to any posture, position, or homology for which landmark data is available, enabling detailed human models may be re-postured and examined in design environments widely varied from the one in which they were scanned.
