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A new algorithm for extracting features from images for object recognition is described. The algorithm uses higher order spectra to provide desirable invariance properties, to provide noise immunity, and to incorporate nonlinearity into the feature extraction procedure thereby allowing the use of simple classifiers. An image can be reduced to a set of 1D(More)
An approach to face verification from 3D data is presented. The method uses 3D registration techniques designed to work with resolution levels typical of the irregular point cloud representations provided by structured light scanning. Preprocessing using a-priori information of the human face and the Iterative Closest Point algorithm are employed to(More)
This paper details the results of a Face Authentica-tion Test (FAT2004) [2] held in conjunction with the 17th International Conference on Pattern Recognition. The contest was held on the publicly available BANCA database [1] according to a defined protocol [7]. The competition also had a sequestered part in which institutions had to submit their algorithms(More)
This paper investigates the use of lip information, in conjunction with speech information, for robust speaker verification in the presence of background noise. It has been previously shown in our own work, and in the work of others, that features extracted from a speaker's moving lips hold speaker dependencies which are complementary with speech features.(More)
In this paper an in depth analysis is undertaken into effective strategies for integrating the audiovisual speech modalities with respect to two major questions. Firstly, at what level should integration occur? Secondly, given a level of integration how should this integration be implemented? Our work is based around the well known hidden Markov model (HMM)(More)
Video surveillance systems are becoming an indispensable tool in today's environment, particularly for security related applications. Surveillance footage is often routinely used to identify faces of criminals " caught in the act " or for tracking individuals in a crowded environment. Most face images captured with these systems however, are small and(More)
The addition of Three Dimensional (3D) data has the potential to greatly improve the accuracy of Face Recognition Technologies by providing complementary information. In this paper a new method combining intensity and range images and providing insensitivity to expression variation based on Log-Gabor Templates is presented. By breaking a single image into(More)
Toward a more robust facial expression recognition in occluded images using randomly sampled Gabor based templates. ABSTRACT Occlusion is a big challenge for facial expression recognition (FER) in real-world situations. Previous FER efforts to address occlusion suffer from loss of appearance features and are largely limited to a few occlusion types and(More)