Video Conference under low bandwidth condition, such as conference among hand-held sets (PDAs), requires transmission algorithm to be robust and effective. The real-time issue is always the focus of research. We propose in this paper a fast algorithm in mapping one’s facial expression onto another’s face. The algorithm divides workload into online and offline part and hence speeds up the performance. By using this, it is possible to transmit small data of facial features to end users of conference participants. Expressions can be then synthesized at end user side to produce pseudo-video-sequence of the participants. Thus, real-time transmission can be achieved.
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- Real-Time Expression Mapping with Ratio Image
- Springer Berlin Heidelberg
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