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Generating Animatable 3D Virtual Humans from Photographs
Author(s) -
Lee WonSook,
Gu Jin,
MagnenatThalmann Nadia
Publication year - 2000
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/1467-8659.00392
Subject(s) - silhouette , computer science , vrml , cloning (programming) , computer vision , feature (linguistics) , computer graphics (images) , face (sociological concept) , artificial intelligence , texture mapping , component (thermodynamics) , virtual reality , linguistics , philosophy , social science , physics , sociology , thermodynamics , programming language
We present an easy, practical and efficient full body cloning methodology. This system utilizes photos taken from the front, side and back of a person in any given imaging environment without requiring a special background or a controlled illuminating condition. A seamless generic body specified in the VRML H‐Anim 1.1 format is used to generate an individualized virtual human. The system is composed of two major components: face‐cloning and body‐cloning. The face‐cloning component uses feature points on front and side images and then applies DFFD for shape modification. Next a fully automatic seamless texture mapping is generated for 360° coloring on a 3D polygonal model. The body‐cloning component has two steps: (i feature points specification, which enables automatic silhouette detection in an arbitrary background (ii two‐stage body modification by using feature points and body silhouette respectively. The final integrated human model has photo‐realistic animatable face, hands, feet and body. The result can be visualized in any VRML compliant browser.