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By Year By Research Group | Lightness illusions, such as the seemingly opposing effects of brightness contrast and assimilation, are characterized by visually perceived intensity images that differ from physical reality. Traditional hypotheses from signal processing community ... Existing multi-model approaches for image set classification extract local models by clustering each image set individually only once, with fixed clusters used for matching with other image sets. However, this may result in the two closest clusters to ... We propose a structured Hough voting method for detecting objects with heavy occlusion in indoor environments. First, we extend the Hough hypothesis space to include both object location and its visibility pattern, and design a new score function that ... Due to the high dimensionality of spectral data, spectrum representation techniques have often concentrated on modelling the spectra as a linear combination of a small basis set. Here, we focus on the evaluation of the Gaussian mixture model in [3], the ... Simple tree models for articulated objects prevails in the last decade. However, it is also believed that these simple tree models are not capable of capturing large variations in many scenarios, such as human pose estimation. This paper attempts to ... Purpose: Optimising visual acuity is an important challenge in prosthetic vision. With a small pupil size, the eye optics can result in low-pass filtering of the retinal image at the Nyquist frequency with respect to the photoreceptor density so that ... In this paper we propose a biologically inspired computational model based upon the human visual pathway in order to achieve a feature pair that is robust to changes in scene illumination variation. Here, we draw inspiration from the V4 area in the ... An approach is proposed for improving the quality of spectral information that can be obtained from daylight illuminated scenes using pixel level colour constancy algorithms. The proposed approach utilises the fact that the correlated colour temperature ... In the field of face recognition, Sparse Representation (SR) has received considerable attention during the past few years. Most of the relevant literature focuses on holistic descriptors in closed-set identification applications. The underlying ... The R statistical environment and language has demonstrated particular strengths for interactive development of statistical algorithms, as well as data modelling and visualisation. Its current implementation has an interpreter at its core which may result... Modelling video sequences by subspaces has recently shown promise for recognising human actions. Subspaces are able to accommodate the effects of various image variations and can capture the dynamic properties of actions. Subspaces form a non-Euclidean ... Motion segmentation is a key underlying problem in computer vision for dynamic scenes. Given 3D data from a RGB-D camera, this paper presents a novel method for motion segmentation without explicitly estimating motions. Building up from a recent ... Linear Regression Classification (LRC) based face recognition achieves high accuracy while being highly efficient. As with most other linear-subspace-based methods, the faces of a subject are assumed to reside on a linear manifold; however, where ... We propose a new action and gesture recognition method based on spatio-temporal covariance descriptors and a weighted Riemannian locality preserving projection approach that takes into account the curved space formed by the descriptors. The weighted ... The Anti-Nuclear Antibody (ANA) clinical pathology test is commonly used to identify the existence of various diseases. A hallmark method for identifying the presence of ANAs is the Indirect Immunofluorescence method on Human Epithelial (HEp-2) cells, due... Foreground detection (also known as background subtraction) is a fundamental low-level processing task in numerous computer vision applications. The vast majority of algorithms in the literature process images on a pixel-by-pixel basis, where an ... In this paper, we address the problem of the simultaneous recovery of the shape and refractive index of an object from a spectro-polarimetric image captured from a single view. Here, we focus on the diffuse polarisation process occuring at dielectric ... Imaging spectroscopy is a key area of research which enables a wide range of functions in diverse areas of application. A spectroscopy image may consist of spectra spanning tens to thousands of bands associated with each pixel in the image. Scene ... We consider an isotropic gradient model for the regularization terms in a multi-label MRF lattice. The isotropic gradient is modeled by considering 3-cliques in an 8-connected lattice. Of interest here are iterative move algorithms like alpha-expansion ... |