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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/274

Title: LANVIN - An Application system to Visualize Makeup and Cream Cosmetic Effects
Authors: Prasad, K.Hari
De Alwis, A.K.T.N
Thilakarathne, Y.R.
De Silva, M.M.D.R.T
Mallawaarachchi, Yasas
Ranpatabadi, Nishani
Keywords: Face Detection
Feature extraction
Image Processing
Segmentation
Mask
Thresholding
Issue Date: Dec-2014
Publisher: SLIIT
Series/Report no.: NTCM2014;108
Abstract: Our research group has identified there are no appropriate methods to visualize the facial enhancements (makeup), appearance after treatments or the progress achieved by cosmetic product. And also the existing ones do not have the required functions. In that case customer is not able to decide whether the cosmetic product or the required makeup is suitable for them. The purpose of this report is to explain our project and give an idea about how our proposed system works to those who are involved in related industries and interested parties. Basically our research project focused on image processing techniques to extract facial features from the face image. After identifying the face area we are looking eye area and Lip area to apply effects and. Also to apply cosmetic cream effects we have to detect face area without eyes, lips, hair area. In order to provide a solution, our research group creates a system to fill the gaps between consumer requirements and the actual outcome. We require our system to help our application users to virtually preview the effects on their own face before physically applying and re-correcting them, which is time-consuming and requires the patience of the participants. Another requirement is to help the cosmetic companies to promote and sell their products more efficiently and by helping the beauty fashion makeup artist and saloons in their practical sessions. Furthermore we intend to help and provide services to customers using user friendly handy website and android application
URI: http://hdl.handle.net/123456789/274
ISSN: 18003591
Appears in Collections:NCTM - SLIIT 2014 -DECEMBER

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