Abstract
3-D human body models are used in a wild spectrum of applications, such as film and entertainment industry, that require images of human replicas, but the computer generated models of human body generally do not adequately model the complex human morphology. These models do not reflect the realistic anthropometric data and are not specific enough for commercial use. This paper presents an approach to adjust virtual mannequins through the use of anthropometric measurement data, which are obtained from 2-D image-base measurement. In this approach, a novel method which used the Chinese medicine acupuncture theory for fast position locating and human body slice model to approach circumferences is proposed to 2-D image-based anthropometric measurement. The measurement data are used in grouping 3-D scanned body objects into clusters. The virtual mannequins are then adjusted by using the measurement data of the standard model that belong to its cluster. In this way, the realistic accurate virtual mannequins are created.
Highlights
3-D human body models are used in a wild spectrum of applications, such as film and entertainment industry, that require images of human replicas
The traditional anthropometry measurement is easy and convenient to use, the traditional measurement relies on manual operations that are inefficient and prone to errors. 2D image-based anthropometric measurement methods adopt two or more photographic, and through image process and geometric transformation, the anthropometric measurement data can be obtained from captured images
This section describes the experiment results including the accuracy of 2-D image-based anthropometric measurement and demonstrates of RD-Free Form Deformation (FFD) by anthropometric measurement
Summary
3-D human body models are used in a wild spectrum of applications, such as film and entertainment industry, that require images of human replicas, but the computer generated models of human body generally do not adequately model the complex human morphology These models do not reflect the realistic anthropometric data and are not specific enough for commercial use. This paper presents an approach to adjust virtual mannequins through the use of anthropometric measurement data, which are obtained from 2-D image-base measurement. CAESAR, which stands for Civilian American and European Surface Anthropometry Resource, is the first large scale 3-D anthropometry survey project [6] This approach provides a standard model of digitalized human body shape and opens up opportunities to extract new measurements for quantifying the body shape. Working with the 3-D surface data has the advantage of being able to perform repeated measurements without the subject being present, the 3-D scanning equipment is not available in anytime and anywhere and the collected 3-D scanning data still needs complicated analysis to calculate human body anthropometric data
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