A Flexible Facial Feature Replacement System

Jih Pin Yeh; Chen Yu Kao; Chung Yung Chen; Hwei Jen Lin

doi:10.4028/www.scientific.net/AMR.403-408.2958

Paper Titles

RETRACTED: Emulation of Vacuum Tubes
p.2941

Empirical Research on Creative Human Capital of Family Enterprises: A Review Based on Sustainable Development
p.2946

A Simple FEM for Multi-Scale Problem
p.2950

Research on Reputation Systems Based on E-Business to Guarantee Integrity Transactions
p.2953

A Flexible Facial Feature Replacement System
p.2958

Research on Rotary and Tilting Table Five-Axis Milling Post-Processing Software Star-Fpost
p.2962

The Study on Environment Simulation System of Lunar Rover Experiment
p.2967

Energy Operator Demodulation Method and Its Application in Gears Fault Diagnosis
p.2972

A Method for Computer Software Security Detection
p.2981

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408A Flexible Facial Feature Replacement System

A Flexible Facial Feature Replacement System

Abstract:

In this study, we propose a facial feature replacement system, which uses the triangulation algorithm to perform facial feature replacement in each segmented triangular region associated with control points. The experimental results show that our system provides quite natural composite images. In addition, the system is flexible and has no limit in the shape, size, and plane rotation of the faces which are processed.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

2958-2961

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.2958

Citation:

Cite this paper

Online since:

November 2011

Authors:

Jih Pin Yeh, Chen Yu Kao, Chung Yung Chen, Hwei Jen Lin

Keywords:

Active Appearance Model (AAM), Blending, Facial Feature Pasting, Linear Interpolation, Seamless Processing, Triangulation Algorithm

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] S. A. Rabi and P. Aarabi: Face Fusion: An Automatic Method for Virtual Plastic Surgery, in Proceedings the 9th International Conference on Information Fusion, July (2006), pp.1-7.

DOI: 10.1109/icif.2006.301579

Google Scholar

[2] M. J. Jones and J. M. Rehg: Statistical Color Models with Application to Skin Detection, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, (1999), pp.274-280.

DOI: 10.1109/cvpr.1999.786951

Google Scholar

[3] Hong-Xia Wang, Chunhong Pan, Haifeng Gong, and Huai-Yu Wu: Facial Image Composition Based on Active Appearance Model, in Proceedings of the International Conference of Acoustics, Speech and Signal Processing (ICASSP 2008), (2008), pp.893-896.

DOI: 10.1109/icassp.2008.4517754

Google Scholar

[4] T. F. Cootes, G. J. Edwards, and C. J. Taylor: Active Appearance Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 6, June (2001), pp.681-685.

DOI: 10.1109/34.927467

Google Scholar

[5] Dmitri Bitouk, Neeraj Kumar, Samreen Dhillon, Peter Belhumeur, and Shree K. Nayar: Face Swapping: Automatically Replacing Faces in Photographs, ACM Transactions on Graphics, Vol. 27, No. 3, Article 39, August (2008).

DOI: 10.1145/1399504.1360638

Google Scholar

[6] Information on http: /www2. imm. dtu. dk/~aam.

Google Scholar