A framework for digital cosmetic system

  • Authors:
  • Mohammad Shoyaib;Jo Moo Youl;Mohammad Abdullah-AI-Wadud;Oksam Chae

  • Affiliations:
  • Kyung Hee University, Gyonggi, Korea;Kyung Hee University, Gyonggi, Korea;Hankuk Univ of Foreign Studies, Gyonggi, Korea;Kyung Hee University, Gyonggi, Korea

  • Venue:
  • Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
  • Year:
  • 2009

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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.