Carl Scheffler

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Image segmentation and colour modelling are related problems, as argued by Jojic and Caspi [1]. We address the joint segmentation of regions around faces into four classes (skin, hair, clothing, and background) and the learning of their respective colour models. All inference is done within the Bayesian framework. We start from a prior belief over the(More)
We address the joint segmentation of regions around faces into different classes — skin, hair, clothing and background — and the learning of their respective colour models. To this end, we adopt a Bayesian framework with two main elements. First, the modelling and learning of prior beliefs over class colour distributions of different kinds, viz. discrete(More)
We describe the design of a system consisting of several state-of-the-art real-time audio and video processing components enabling multimodal stream manipulation (e.g., automatic online editing for multiparty videoconferencing applications) in open, unconstrained environments. The underlying algorithms are designed to allow multiple people to enter,(More)
We present a matrix factorisation approach for 3D reconstruction of articulated objects from monocular images. Previous factorisation methods can solve for multiple independently moving objects, but fail in the articulated case because of a rank deficiency in the input matrix. By extending the shape and motion matrices used in the case of independent(More)
In this paper, we describe a low delay real-time multimodal cue detection engine for a living room environment. The system is designed to be used in open, unconstrained environments to allow multiple people to enter, interact and leave the observable world with no constraints. It comprises detection and tracking of up to 4 faces, estimation of head poses(More)
Nomon is a new selection method that allows users to carry out computer actions normally achieved by pointing and clicking. This method has diverse applications such as text entry, mobility control, internet browsing, and drawing. Among these, text entry is arguably the most important computer-based activity an individual, disabled or otherwise, will engage(More)
We address the joint segmentation of regions around faces into different classes — skin, hair, clothing and background — and the learning of their respective colour models. To this end, we adopt a Bayesian framework with two main elements. First, the modelling and learning of prior beliefs over class colour distributions of different kinds, viz. discrete(More)
Acknowledgements My sincerest thanks go out to the following people—some were involved in starting me off on this road, others in keeping me going and others still in pushing me to the destination. gave me enough rope and always had faith—even when mine was waning. To Konrad Scheffler, who acted as advisor and sounding board and whose ability is surpassed(More)
Technological advances have led to an explosion in the number of available biological datasets. These include measurements on a genomic scale such as extensive genotype data and the profiling of thousands of gene expression levels in large sample groups. The focus of this thesis is the design and application of probabilistic models to extract meaningful(More)