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A novel face recognition transformat...

Kyperountas, Marios C.

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A novel face recognition transformational model and its inherent and optimal classification through a computationally efficient statistical algorithm.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A novel face recognition transformational model and its inherent and optimal classification through a computationally efficient statistical algorithm./
作者:	Kyperountas, Marios C.
面頁冊數:	109 p.
附註:	Source: Masters Abstracts International, Volume: 42-01, page: 0297.
Contained By:	Masters Abstracts International42-01.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1415095

A novel face recognition transformational model and its inherent and optimal classification through a computationally efficient statistical algorithm.
Kyperountas, Marios C.

A novel face recognition transformational model and its inherent and optimal classification through a computationally efficient statistical algorithm. - 109 p.

Source: Masters Abstracts International, Volume: 42-01, page: 0297.

Thesis (M.S.)--Florida Atlantic University, 2003.

This thesis is concerned with the development of a new face recognition method that has a high recognition performance and is computationally efficient, so that it can be applied to real time processes. A background research is presented, summarizing the most dominant face recognition methods, with an emphasis to the most popular statistical method, the ‘Eigenfaces’. Initially, a new algorithm is developed based only on the computational efficiency criterion. It is simulated, and criterions for achieving higher recognition rates are experimentally and theoretically determined. A new space transform is introduced, which enhances the algorithm's recognition capabilities. Its optimum classification measure is mathematically proven to be one that is inherently provided by the new face recognition algorithm. Finally, the developed method is evaluated, and experimentally compared against the ‘Eigenfaces’ method, using face data.Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

A novel face recognition transformational model and its inherent and optimal classification through a computationally efficient statistical algorithm.
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