Detection of regions matching specified chromatic features
Computer Vision and Image Understanding
The VRML 2.0 sourcebook (2nd ed.)
The VRML 2.0 sourcebook (2nd ed.)
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
iPACKMAN: high-quality, low-complexity texture compression for mobile phones
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Patch Based Blind Image Super Resolution
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Automatic 3D Face Modeling from Video
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Interactive learning of CG in networked virtual environments
Computers and Graphics
Compression of MPEG-4 facial animation parameters for transmission of talking heads
IEEE Transactions on Circuits and Systems for Video Technology
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Nonverbal communication is a special kind of communication using wordless messages such as gesture, body language, posture, facial expression and eye contact. Such communications are specially attractive in virtual environments (VEs) which incorporating 3D avatars. Many of techniques for nonverbal communication in VEs have been studied and reported. However, transferring existing techniques to mobile platform are seldom reported. In this paper, we introduce our approach of creating a nonverbal communication environment between mobile phone and normal PCs. 3D face modeling is taken as an example to explain the system architecture. This modeling process is integrated with 3 platforms. The prior knowledge of modeling only uses one front view image which can be captured by built-in phone camera without high quality constrain. The two ends,between phone to phone or phone to PC, can download models from server and share the communication environment. Key techniques such as facial features detecting, face model personalizing are presented and experiment results show a lifelike face-to-face conversation can be simulated.