Face Recognition using Independent Component Analysis: Under Variation of Pose, Illumination and Facial Expressions - Softcover

Karande, Kailash; Talbar, Sanjay

Softcover

ISBN 10: 3659193593 ISBN 13: 9783659193590

Publisher: LAP LAMBERT Academic Publishing, 2012

Synopsis

The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in the last decade for face recognition. There is much more scope for research using ICA for face recognition with different methods of feature extractions and needs to be addressed. As the promising applications of ICA is feature extraction, where it extracts independent image bases which are not necessarily orthogonal and it is sensitive to high order statistics. In the task of face recognition, important information may be contained in the high order relationship among pixels. Independent Component Analysis (ICA) minimizes both second order and higher-order dependencies in the input data and attempts to find the basis along with the data when projected onto them are statistically independent. So ICA seems to be a promising face feature extraction method.

About this title

About the Author

Dr.Karande Kailash Jagannath has completed his Ph.D in Electronics and Telecommunication from S R T M University, Nanded, India. He has total17 Publications in International and National Journals and Conferences.He is member of ISTE and IETE. Currently he is working as Principal at SKN Sinhgad College of Engineering, Pandharpur, India.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2012
• Language: English
• ISBN 10: 3659193593
• ISBN 13: 9783659193590
• Binding: Paperback
• Number of pages: 136