CASIA OpenIR  > 09年以前成果
A video based personalized face model generation approach for network 3D games
Zeng, XY; Yao, J; Zhang, MD; Wang, YS; Kishino, F; Kitamura, Y; Kato, H; Nagata, N
Source PublicationENTERTAINMENT COMPUTING - ICEC 2005
2005
Volume3711Pages:230-238
SubtypeArticle
AbstractWe have developed a fast generation system for personalized 3D face model and plan to apply it in network 3D games. This system uses one video camera to capture player's frontal face image for 3D modeling and dose not need calibration and plentiful manual tuning. The 3D face model in games is represented by a 3D geometry mesh and a 2D texture image. The personalized geometry mesh is obtained by deforming an original mesh with the relative positions of the player's facial features, which are automatically detected from the frontal image. The relevant texture image is also obtained from the same image. In order to save storage space and network bandwidth, only the feature data and texture data from each player are sent to the game server and then to other clients. Finally, players can see their own faces in multiplayer games.
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Theory & Methods
WOS IDWOS:000233395400023
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9192
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Zeng, XY,Yao, J,Zhang, MD,et al. A video based personalized face model generation approach for network 3D games[J]. ENTERTAINMENT COMPUTING - ICEC 2005,2005,3711:230-238.
APA Zeng, XY.,Yao, J.,Zhang, MD.,Wang, YS.,Kishino, F.,...&Nagata, N.(2005).A video based personalized face model generation approach for network 3D games.ENTERTAINMENT COMPUTING - ICEC 2005,3711,230-238.
MLA Zeng, XY,et al."A video based personalized face model generation approach for network 3D games".ENTERTAINMENT COMPUTING - ICEC 2005 3711(2005):230-238.
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