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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 5, MAY 2016

Face Extraction, Feature Extraction and EDGESIN Face Beautification

Ms. Priyanka Mehra, Prof. A. S. Deshpande

DOI: 10.17148/IJARCCE.2016.55221

Abstract: In this paper, we present a new image processing structure for face recognition, feature extraction and landmark localization. The proposed method is used to extract the face by using adaptive region aware mask based on edge preserving energy minimization model with a spatially different parameter and a high quality of guided feature space for mask generation. Using region-aware masks, our method simplifies more flexible and accurate facial skin enhancement In our beautification structure, a image is decomposed into smoothness, lighting, and color layers by an edge-preserving filter. Next, facial land marks and important features are extracted as input constraints for mask generation. The Experimental results show that the proposed method determines the ability to beautify the face.



Keywords: Feature Extraction, Facial Beautification, Edge Preserving Energy Minimization.

How to Cite:

[1] Ms. Priyanka Mehra, Prof. A. S. Deshpande, “Face Extraction, Feature Extraction and EDGESIN Face Beautification,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.55221