A framework for digital cosmetic system
Pages 664 - 669
Abstract
Now-a-days digital camera have become very inexpensive as well as available device to common people and they usually like to see them better in pictures, which requires some post processing. To fulfill this requirement we propose a framework that integrates face detection, facial feature segmentation, intelligent filter design and control mechanisms into a single processing framework that requires minimal user assistance. For the design, selection and control mechanisms of the filters, we adopt the blackboard based expert system architecture. For a specified task, the current conditions of different parts of the image are analyzed and then a specific filter or set of filters are chosen to be applied based on the knowledge accumulated from experts.
References
[1]
Takashi Matsui, Kaoru Arakawa, Kohei Nomoto, "A Nonlinear Filter System for Beautifying Face Images with Enhancement Using Interactive Evolutionary Computing," In Proceedings of the International Symposium on Intelligent Signal Processing and Communications (ISPACS '06), pp. 534--537, December 2006.
[2]
Kaoru Arakawa, "Nonlinear digital filters for beautifying facial images in multi-media systems", In proceedings of the IEEE International Symposium on Circuits and Systems, pp. 429--432, Vancouver BC, Canada, 2004.
[3]
H. Watabe, K. Arakawa, and Y Arakawa, "A Nonlinear Digital Filter for Beautifying Facial Images", Journal of Three Dimensional Images, Vol. 13, NO. 3, pp.41--46, 1999.
[4]
Kaoru Arakawa, "Nonlinear image processing for beautifying facial images", in proceedings of the IEEE-Eurasip Conference on Nonlinear Signal and Image Processing, pp. 7-, 2005.
[5]
K. Arakawa, and H. Naito, "Extended Component-Separating Nonlinear Filter and Its Application to Face Image Beautification", 19th Fuzzy System Symposium, pp. 411--414, Sept. 2003.
[6]
M. Abdullah-Al-Wadud, Oksam Chae, "A Skin Detection Approach Based on Color Distance Map", EURASIP Journal on Advances in Signal Processing, vol. 2008.
[7]
M. Abdullah-Al-Wadud, Oksam Chae, "Region-of-Interest Selection for Skin Detection Based Applications," IEEE International Conference on Convergence Information Technology, 1999--2004, 2007.
[8]
M. Abdullah-Al-Wadud, Oksam Chae, "Skin Segmentation Using Color Distance Map and Water-flow Property", to be appeared in Proc. of the 4th IEEE International Conference on Information Assurance and Security (IAS), Naples, Italy, 2008.
[9]
Lijun Yin&Anup Basul, "Generating Realistic Facial Expressions with Wrinkles for Model-Based Coding," Computer Vision and Image Understanding, vol. 84, pp. 201--240, 2001
[10]
Yuichi Ohta, "Knowledge-Based Interpretation of Outdoor Natural Color Scenes", Research Notes in Artificial Intelligence, Vol 4, 1998.
[11]
E. Davies, "Machine Vision: Theory, Algorithms and Practicalities," Academic Press, Chap 2, 1990
[12]
Weber, M. (1999) Frontal Face Dataset, California Institute of Technology, http://www.vision.caltech.edu/html-files/archive.html
Index Terms
- A framework for digital cosmetic system
Recommendations
The Cooperative System for Information Retrieval
SCCC '00: Proceedings of the XX International Conference of the Chilean Computer Science SocietyWe describe our information retrieval system which allows a convivial access to databases. It is based on a multi-expert architecture using a database management system and a blackboard to control the progressive analysis of the user's sentence. We have ...
Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned
Expert systems are built from knowledge traditionally elicited from the human expert. It is precisely knowledge elicitation from the expert that is the bottleneck in expert system construction. On the other hand, a data mining system, which ...
Integrating multiple and diverse abstract knowledge types in real-time embedded systems
Designers of large-scale real-time systems are increasingly turning to knowledge-based techniques in order to solve complex problems. This paper identifies three essential needs to support the implementation of these systems: first, the need to provide ...
Comments
Information & Contributors
Information
Published In
November 2009
1479 pages
ISBN:9781605587103
DOI:10.1145/1655925
Copyright © 2009 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
- AICIT
- ETRI
- KISTI
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 November 2009
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
ICIS '09
Sponsor:
ICIS '09: The 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
November 24 - 26, 2009
Seoul, Korea
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 30Total Downloads
- Downloads (Last 12 months)5
- Downloads (Last 6 weeks)0
Reflects downloads up to 09 Nov 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in