Real-Time expression mapping with ratio image

Authors:
Weili Liu;Cheng Jin;Jiajun Bu;Chun Chen
Affiliations:
College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China
Venue:
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
Year:
2005

Citing 10
Cited 0

Performance-driven facial animation

SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Feature-based image metamorphosis

SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Rendering synthetic objects into real scenes: bridging traditional and image-based graphics with global illumination and high dynamic range photography

Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Expressive expression mapping with ratio images

Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Digital Image Processing

Digital Image Processing
Active Appearance Models

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Geometry-driven photorealistic facial expression synthesis

Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Vision-based control of 3D facial animation

Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Hierarchical Wavelet Networks for Facial Feature Localization

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Face transfer with multilinear models

ACM SIGGRAPH 2005 Papers

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.