Research Publications
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By Year By Research Group | Conditional random field methods (CRFs) have gained popularity for image Labeling tasks in recent years. In this paper, we describe an alternative discriminative approach, by extending the large margin principle to incorporate spatial correlations among ... It has been shown that gait is an efficient biometric feature for identifying a person at a distance. However, it is a challenging problem to obtain reliable gait feature when viewing angle changes because the body appearance can be different under the ... Shadow detection and removal is an important step employed after foreground detection, in order to improve the segmentation of objects for tracking. Methods reported in the literature typically have a significant trade-off between the shadow detection ... While existing face recognition systems based on local features are robust to issues such as misalignment, they can exhibit accuracy degradation when comparing two images of differing resolutions. This is common in surveillance environments where a ... Micropattern based image representation and recognition, e.g. Local Binary Pattern (LBP), has been proved successful over the past few years due to its advantages of illumination tolerance and computational efficiency. However, LBP only encodes the ... Face recognition using micropattern representation has recently received much attention in the computer vision and pattern recognition community. Previous researches demonstrated that micropattern representation based on Gabor features achieves better ... We propose a region-based foreground object segmentation method capable of dealing with image sequences containing noise, illumination variations and dynamic backgrounds (as often present in outdoor environments). The method utilises contextual spatial ... In this paper, we tackle the problem of image inpainting which aims at removing objects from an image or repairing damaged pictures by replacing the missing regions using the information in the rest of the scene. The image inpainting method proposed ... In this paper, we present an approach to robust estimation of shape from single-view multi-spectral polarisation images. The developed technique tackles the problem of recovering the azimuth angle of surface normals robust to image noise and a low ... With growing attention to ensemble learning, in recent years various ensemble methods for face recognition have been proposed that show promising results. Among diverse ensemble construction approaches, random subspace method has received considerable... In this paper, we propose a novel face image similarity measure based on Hausdorff distance in the feature space. Conventional Hausdorff distance based measures are generally applied in the image space, such as edge maps or gradient images. The ... Automated gender recognition has become an interesting and challenging research problem in recent years with its potential applications in security industry and human-computer interaction systems. In this paper we present a novel feature representation, ... n this paper, we describe the use of concepts from structural and statistical pattern recognition for recovering a mapping which can be viewed as an operator on the graph attribute-set. This mapping can be used to embed graphs into spaces where tasks ... In this paper, we present a statistical approach to spectral unmixing with unknown endmember spectra and unknown illuminant power spectrum. The method presented here is quite general in nature, being applicable to settings in which sub-pixel ... For many machine learning algorithms such as k-Nearest Neighbor (k-NN) classifiers and k-means clustering, often their success heavily depends on the metric used to calculate distances between different data points. An effective solution for defining ... MULTI-SPECTRAL REMOTE SENSING IMAGE REGISTRATION VIA SPATIAL RELATIONSHIP ANALYSIS ON SIFT KEYPOINTS Multi-sensor image registration is a challenging task in remote sensing. Considering the fact that multi-sensor devices capture the images at wide range of frequencies and at different time, multi-spectral image registration is necessary for data ... A fundamental capability of any visual navigation system is the perception of potential contact with surfaces in the environment. For this, optical flow provides useful cues for perceiving scene structure, and for visually guiding self-motion. In this ... Detection of duplicate or near-duplicate videos on large-scale database plays an important role in video search. In this paper, we analyze the problem of near-duplicates detection and propose a practical and e ective solution for real-time large-scale... We propose hashing to facilitate face recognition, which is up to 150 times faster than the random `1 approach [18] on YaleB dataset with competitive recognition accuracy. We show with hashing, the sparse representation can be recovered with high ... In this paper, we propose an approach to the problem of simultaneous shape and refractive index recovery from multispectral polarisation imagery captured from a single viewpoint. The focus of this paper is on dielectric surfaces which diffusely polarise ... Compressive Sensing has become one of the standard methods of face recognition within the literature. We show, however, that the sparsity assumption which underpins much of this work is not supported by the data. This lack of sparsity in the data ... In this paper, we present a texture descriptor algorithm called Invariant Features of Local Textures (IFLT). IFLT generates scale, rotation and (essentially) illumination invariant descriptors from a small neighbourhood of pixels around a centre pixel or ... Boosting has attracted much research attention in the past decade. The success of boosting algorithms may be interpreted in terms of the margin theory Recently, it has been shown that generalization error of classifiers can be obtained by explicitly ... Detecting blood vessels in retinal images with the presence of bright and dark lesions is a challenging unsolved problem. In this paper, a novel multiconcavity modeling approach is proposed to handle both healthy and unhealthy retinas simultaneously. The ... In this paper, we address the problem of photometric invariance in multispectral imaging making use of an optimisation approach based upon the dichromatic model. In this manner, we cast the problem of recovering the spectra of the illuminant, the ... This paper describes a robust regular polygon detector. Given image edges, we derive the a posteriori probability for a mixture of regular polygons, and thus the probability density function for the appearance of a set of regular polygons. Likely regular ... In this paper, a two-tier UMTS network is considered where a large number of randomly deployed Wideband Code Division Multiple Access (WCDMA) femtocells are laid under macrocells where the spectrum is shared. The co-channel interference between the cells ... This paper proposes a novel high-order local pattern descriptor, Local Derivative Pattern (LDP), for face recognition. LDP is a general framework to encode directional pattern features based on local derivative variations. The nth-order LDP is proposed to... Kernel-based mean shift (MS) trackers have proven to be a promising alternative to stochastic particle filtering trackers. Despite its popularity, MS trackers have two fundamental drawbacks: (1) The template model can only be built from... In any given scene, a human observer is typically more interested in some objects than others, and will pay more attention to those objects they are interested in. This paper aims to capture this attention focusing behavior by selectively merging a ... We propose an object retrieval application which can retrieve user specified objects from a big supermarket. Significant and unpredictable scale difference between the query and the database image is the major obstacle encountered. The widely used ... In this paper we present the geometric property of perspective invariant angle ordering; the order of angles between point features. We describe how this can be used to exploit the structure of the appearance of features on planar or near planar ... This paper presents a method for learning Radial Basis Functions (RBF) model with variable dimensions for aligning/ registrating images of deformable surface. Traditional RBF-based approach, which is mainly based on a fixed dimension parametric model,... A new method for optimal robust estimation. We present a method for calibrating the rotation between two cameras in a camera rig in the case of non-overlapping fields of view and in a globally consistent manner. First, rotation averaging strategies are discussed and an $L_1$-optimal rotation ... Due to its importance to classification and clustering, dimensionality reduction or distance metric learning has been studied in depth in recent years. In this work, we demonstrate the weakness of a widely-used class separability criterion—trace quotient ... Face recognition in real-world conditions requires the ability to deal with a number of conditions, such as variations in pose, illumination and expression. In this paper, we focus on variations in head pose and use a computationally efficient ... A new and fast algorithm for performing L-infinity optimization for multiview 3d reconstruction. Real-time object detection has many applications in video surveillance, teleconference and multimedia retrieval \etc. Since Viola and Jones \cite{Viola2004Robust} proposed the first real-time AdaBoost based face detection ... This paper addresses two critical but rarely concerned issues in 2D face recognition: wider-range tolerance to pose variation and misalignment. We propose a new Textural Hausdorff Distance (THD), which is a compound measurement integrating both spatial ... Gabor feature constrained statistical model for efficient landmark localization and face recognition Feature extraction and classification using Gabor wavelets have proven to be successful in computer vision and pattern recognition. Gabor feature-based Elastic Bunch Graph Matching (EBGM), which demonstrated excellent performance in the FERET evaluation ... This paper describes work in a new project based on a collaboration between experts in low vision and a computer vision research group. The focus of the project is to develop assistive devices for individuals with severe and profound vision ... LPBoost seemingly should have better generalization capability than AdaBoost according to the margin theory because LPBoost optimizes the minimum margin directly. Thus far, however, there is no empirical comparison and theoretical explanation of ... We present a robust strategy for docking a mobile robot in close proximity with an upright surface using optical flow field divergence and proportional feedback control. Unlike previous approaches, we achieve this without the need for explicit ... We present a robust strategy for docking a mobile robot in close proximity with an upright surface using optical flow field divergence and proportional feedback control. Unlike previous approaches, we achieve this without the need for explicit ... Perception in the visual cortex and dorsal stream of the primate brain includes important visual competencies, such as: a consistent representation of visual space despite eye movement; egocentric spatial perception; attentional gaze deploy- ment; and,... Over the last decade, interest in biometric based identification and verification systems has increased considerably. One application is the use of speech signals, face images or fingerprints in order to supplement security systems based on passwords. ... This paper presents a novel discriminative approach for pave-ment scene understanding and obstacle detection in real-world images. It overcomes the heavy constraints in previous systems such as a simple background, a speci c obstacle, etc. The approach ... Image partitioning separates an image into multiple visually and semantically homogeneous regions, providing a summary of visual content. Knowing that human observers focus on interesting objects or regions when interpreting a scene, and envisioning the ... This paper proposes a novel Heterogeneous Specular and Diffuse (HSD) 3D surface approximation which considers spatial variability of specular and diffuse reflections in face modelling and recognition. Traditional 3D face modelling and recognition methods ... Although fingerprint experts have presented evidence in criminal courts for more than a century, there have been few scientific investigations of the human capacity to discriminate these patterns. A recent latent print matching experiment shows that ... In this paper, we present a method to recover the parameters governing the reflection of light from a surface making use of a single hyperspectral image. To do this, we view the image radiance as a combination of specular and diffuse reflection ... In this paper, we propose a biologically inspired spiking neural network approach to obtaining an opponent pair which is invariant to illumination variations and can be employed for colour discrimination. The model is motivated by the neural ... In this paper, we explore the opportunities, application areas and challenges involving the use of imaging spectroscopy as a means for scene understanding. This is important, since scene analysis in the scope of imaging spectroscopy involves the ability ... In this paper, we present a method to recover the albedo and depth from a single image. To this end, we depart from the scattering theory in the atmospheric vision model used elsewhere for defogging and dehazing. We then view the image as a relaxed ... This paper presents techniques to address the complexity problem of subgraph isomorphism detection on large graphs. To overcome the inherently high computational complexity, the problem is simplified through the calculation and strengthening of ... Localising and aligning objects is a challenging task in computer vision that still remains largely unsolved. Utilising the syntactic power of graph representation, we define a relational string-graph matching algorithm that seeks to perform these tasks ... |