Abstract. A number of applications require robust human face recognition under varying environmental lighting conditions and different facial expressions, which considerably vary ...
In this paper a new complete system for 3D face recognition is presented. 3D face recognition presents several advantages against 2D face recognition, as, for example, invariance t...
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
In this paper, we present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. Highresolution face imag...
Young-Ouk Kim, Joon Ki Paik, Jingu Heo, Andreas Ko...
Techniques for face recognition generally fall into global and local approaches, with the principal component analysis (PCA) being the most prominent global approach. This paper u...
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
Abstract. We investigate a number of approaches to pose invariant face recognition. Basically, the methods involve three sequential functions for capturing nonlinear manifolds of f...
Abstract. While face recognition from a single still image has been extensively studied over a decade, face recognition based on more than one still image, such as multiple still i...
Abrupt performance degradation caused by face pose variations has been one of the bottlenecks for practical face recognition applications. This paper presents a practical pose norm...
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face i...