This survey focuses on recognition performed by matching models of the three-dimensional
shape of the face, either alone or in combination with matching corresponding two …

Traditionally, human facial expressions have been studied using either 2D static images or
2D video sequences. The 2D-based analysis is incapable of handing large pose variations …

An efficient algorithm for isometry-invariant matching of surfaces is presented. The key idea
is computing the minimum-distortion mapping between two surfaces. For this purpose, we …

An algorithm is proposed for 3D face recognition in the presence of varied facial
expressions. It is based on combining the match scores from matching multiple overlapping …

We study shapes of facial surfaces for the purpose of face recognition. The main idea is to 1)
represent surfaces by unions of level curves, called facial curves, of the depth function and …

We present a method for precise eye localization that uses two Support Vector Machines
trained on properly selected Haar wavelet coefficients. The evaluation of our technique on …

This paper presents a 3D approach for recognizing faces based on Principal Component
Analysis (PCA). The approach addresses the issue of proper 3D face alignment required by …

In this paper, we review and compare 3D face registration and recognition algorithms, which
are based solely on 3D shape information and analyze methods based on the fusion of …

Unconstrained illumination and pose variation lead to significant variation in the
photographs of faces and constitute a major hurdle preventing the widespread use of face …

Information fusion in fingerprint recognition has been studied in several papers. However,
only a few papers have been focused on sensor interoperability and sensor fusion. In this …