In this paper we have developed a bespoke approach to face recognition with Eigenfaces using principal component analysis. We have focused on the effects of taking the number of significant eigenfaces. Eigenfaces approach is a principal component analysis method, in which a small set of characteristic pictures are used to describe the variation between face images. Experimental results using MA...

In real-world applications, the image of faces varies with illumination, facial expression, and poses. It seems that more training samples are able to reveal possible images of the faces. Though minimum squared error classification (MSEC) is a widely used method, its applications on face recognition usually suffer from the problem of a limited number of training samples. In this paper, we impro...

Catalog Description: An introduction to the political, social, cultural, and economic events that distinguished Western Civilization from its earliest roots to the Thirty Years’ War (1648). Major topics include Ancient Near Eastern Civilizations, Greece and Rome, the Middle Ages, and the Renaissance and Reformation. Emphasis is placed on close readings of primary works, including literary and v...

Minimum squared error based classification (MSEC) method establishes a unique classification model for all the test samples. However, this classification model may be not optimal for each test sample. This paper proposes an improved MSEC (IMSEC) method, which is tailored for each test sample. The proposed method first roughly identifies the possible classes of the test sample, and then establis...

A subgraph of a plane graph is light if the sum of the degrees of the vertices of the subgraph in the graph is small. It is known that a plane graph of minimum face size 5 contains light paths and a light pentagon. In this paper we show that every plane graph of minimum face size 5 contains also a light star K1,3 and we present a structural result concerning the existence of a pair of adjacent ...

Face recognition is a system that identifies human faces from an image database or from a video frame . The paper presents a literature review on face recognition approaches. It then explains two different algorithms for feature extraction which are Principal Component Analysis and Fisher Faces algorithm. It also explains how images can be recognized using a Backpropagation algorithm on a Feedf...

This paper describes a new approach for watershed segmentation on triangular mesh. Common watershed approaches use descending or flooding processes on a connected vertex structure. Watershed transformation is not related to a structure in particular: it only requires connected elements and a height function. This method is widely used on 2D, 3D images as well as on 3D meshes. Here, a connected ...