Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9678
Title: Model-based generation of realistic 3D full body avatars from uncalibrated multi-view photographs
Authors: Michael, Nicholas 
Lanitis, Andreas 
Keywords: 3D body shape modelling;Image segmentation;Multi-view ASM;Personalized avatars
Category: Computer and Information Sciences
Field: Natural Sciences
Issue Date: 1-Jan-2014
Publisher: Springer New York LLC
Source: IFIP Advances in Information and Communication Technology, 2014, Volume 436, Pages 354-363
Abstract: In today’s world of rapid technological advancement, we find an increasing demand for low-cost systems that are capable of fast and easy generation of realistic avatars for use in Virtual Reality (VR) applications. For example, avatars can enhance the immersion experience of users in video games and facilitate education in virtual classrooms. Therefore, we present here a novel model based technique that is capable of real-time generation of personalized full-body 3D avatars from orthogonal photographs. The proposed method utilizes a statistical model of human 3D shape and a multi-view statistical 2D shape model of its corresponding silhouettes. Our technique is automatic, requiring minimal user intervention, and does not need a calibrated camera. Each component of our proposed technique is extensively evaluated and validated.
URI: http://ktisis.cut.ac.cy/handle/10488/9678
ISSN: 18684238
Rights: © IFIP International Federation for Information Processing 2014.
Type: Article
Appears in Collections:Άρθρα/Articles

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