Abstract
In this paper, an efficient system generating a customized 3D virtual human reflecting user’s features by using the frontal and lateral pictures captured through a PC camera is suggested. To render the complete 3D virtual human figure, a customized virtual face is defined based on predefined facial feature points, followed by the generation of virtual body and accessories by mapping through Body Mass Index (BMI), which is a measure of body fat defined as the weight divided by the square of height. The basic emotion elements also can be expressed using special muscle modules. The proposed system can generate several 3D formats such as AKF, ASE, and WRL as outputs for various types of displays. The better performances in terms of easiness of usage, speed of generation, and the usability are validated by comparing with those of similarly implemented systems. The test results are shown.
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FaceGen: http://www.facegen.com
3DMENow: http://www.biovirtual.com
Dantirum: http://www.idanty.com
Zeb: http://www.zeb.co.kr
Qavatar: http://www.qavatar.com
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Chin, S., Park, J., Choo, M. (2007). Constructing a Convenient and Efficient System for Making Virtual Human Accentuated by Customized 3D Face and Body. In: Hui, Kc., et al. Technologies for E-Learning and Digital Entertainment. Edutainment 2007. Lecture Notes in Computer Science, vol 4469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73011-8_5
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DOI: https://doi.org/10.1007/978-3-540-73011-8_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73010-1
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