Face recognition degrades when faces are of very low resolution since many details about the difference between one person and another can only be captured in images of sufficient...
Pablo H. Hennings-Yeomans, Simon Baker, B. V. K. V...
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
Design of gracefully degrading systems, where functionality is gradually reduced in the face of faults, has traditionally been a very difficult and error-prone task. General appro...
Matching near-infrared (NIR) face images to visible light (VIS) face images offers a robust approach to face recognition with unconstrained illumination. In this paper we propose ...
ic Presentations - Abstracts list Monday, August 31st Session 1 – Chairman: Jean-Marc Odobez Title Quality Measures and Stacking Classifiers in Multimodal Biometric Recognition S...