International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064




Downloads: 113

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 5 Issue 9, September 2016


View-Based and Modular Eigenspaces for Face Recognition

Parveen Yadav [2] | Rahul Kadian [4]


Abstract: In this work we describe experiments with eigen-faces for recognition and interactive search in a large-scale face database. Accurate visual recognition is demonstrated using a database of O (103) faces. The problem of recognition under general viewing orientation is also examined. A view-based multiple-observer eigenspace technique is proposed for use in face recognition under variable pose. In addition, a modular eigenspace description technique is used which incorporates salient features such as the eyes, nose and mouth, in an eigenfeature layer. This modular representation yields higher recognition rates as well as a more robust framework for face recognition. An automatic feature extraction technique using feature eigen templates is also demonstrated.


Keywords: h/w requirment, s/w requirment


Edition: Volume 5 Issue 9, September 2016,


Pages: 989 - 992


How to Cite this Article?

Parveen Yadav, Rahul Kadian, "View-Based and Modular Eigenspaces for Face Recognition", International Journal of Science and Research (IJSR), Volume 5 Issue 9, September 2016, pp. 989-992, https://www.ijsr.net/get_abstract.php?paper_id=9091603

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