Classification of face images using local iterated function systems

There has been an increasing interest in face recognition in recent years. Many recognition methods have been developed so far, some very encouraging. A key remaining issue is the existence of variations in the input face image. Today, methods exist that can handle specific image variations. But we are yet to see methods that can be used more effectively in unconstrained situations. This paper presents a method that can handle partial translation, rotation, or scale variations in the input face image. The principal is to automatically identify objects within images using their partial self-similarities. The paper presents two recognition methods which can be used to recognise objects within images. A face recognition system is then presented that is insensitive to limited translation, rotation, or scale variations in the input face image. The performance of the system is evaluated through four experiments. The results show that the system achieves higher recognition rates than those of a number of existing approaches.

Adaptive fusion of gait and face for human identification in video

Most work on multi-biometric fusion is based on static fusion rules which cannot respond to the changes of the environment and the individual users. This paper proposes adaptive multi-biometric fusion, which dynamically adjusts the fusion rules to suit the real-time external conditions. As a typical example, the adaptive fusion of gait and face in video is studied. Two factors that may affect the relationship between gait and face in the fusion are considered, i.e., the view angle and the subject-to-camera distance. Together they determine the way gait and face are fused at an arbitrary time. Experimental results show that the adaptive fusion performs significantly better than not only single biometric traits, but also those widely adopted static fusion rules including SUM, PRODUCT, MIN, and MAX.

The tsunami of independent directors - how to handle the demand

Good governance is recognized as a fundamental indicator of the success of a company. For a small- midsized company, this is particularly so, as such companies must be able to competitively demonstrate their flexibility in the face of market forces. This flexibility is the primary advantage they hold over larger firms (Dalton, Daily, Ellstrand and Johnson, 1998).

Such companies, however, can find it difficult to attract good directors (Daum and Neff, 2003) and this makes developing improved strategies of governance a challenge. Taylor, Chait and Holland suggest top directors are not attracted to small/ medium companies because "the stakes remain low, the meetings process-driven, the outcomes ambiguous, and the deliberations insular" (Taylor, Chait and Holland, 2001). We suggest that the attraction of quality directors is a uniquely impacting situation for small and mid-size firms, as it is there where additional management resources should be needed most urgently.

Directors on the boards of small-medium sized businesses are often lagging behind directors of large companies in that they are less likely to be independent external directors and are less likely to represent a diversity of attributes (Dalton, Daily, Ellstrand and Johnson, 1998). Arthur Levitt, former United States Securities and Exchange Commission Chair, describes the culture of medium sized business directorships as a "kind of a fraternity of CEOs who serve on one another's boards" (Stainburn, 2005). In addition, evidence suggests directors of small- medium businesses are often insufficiently trained for the role. Uncertain directors may, for example, be unwilling to ask crucial questions of managers before making major decisions. "Board members sometimes are made to feel that asking a thorny question or advancing an alternative opinion is disloyal to the administration" (Taylor, Chait and Holland, 2001).

Small and medium businesses, however, are a growing contributor to the national economies of countries internationally. In New Zealand, small and medium-size firms recording large GDP values, ahead of many large businesses, which makes our investigation into good governance practices of SMEs relevant to suggest areas in which these firms can improve their governance policies and practices.

We have reviewed more than 2,000 directors, executives and investors in New Zealand, making this one of the largest non-government surveys in governance. Supported by 16 large corporate organizations, such as KPMG, Business New Zealand, Simpson Grierson, Brook Asset Management, Porter Novelli, Sheffield and 'Management' Magazine, this work suggests that the current processes through which directors are selected and trained to serve on Boards of small and medium businesses needs to be altered. We are also concerned over the lack of director education and the close involvement of the Chief Executives as members of the Boards. There is a general concern over the lack of director independence and whether directors are effective in their roles.

We are recommending an alternative process for SMEs to select directors, which will hopefully expand the available pool of directors in quantity and quality.

The changing face of the Australian teaching profession : new generations and new ways of working and learning

Today’s workforce is characterised by an increasing mix of people with varying career aspirations, work motivators and job satisfiers. This paper discusses the intergenerational nature of today’s workforce, which is currently dominated by the age groups commonly referred to as Baby Boomers and Generation X. The Baby Boomers defined and redefined work during the last quarter of the twentieth century, but as they track towards retirement, GenXers’ valued work patterns and their career and life aspirations are increasingly dominating. This paper draws on a body of literature about a younger generation of workers and the current world of work in today’s knowledge society, and discusses possible implications for the teaching profession, particularly for attracting and retaining young people as teachers.

The changing face of literacy policy in Victoria

In the transition from the twentieth to the twenty-first century, literacy has undergone a fundamental change in the shift from page to screen as the dominant basis for communication. In a communications environment characterised by multimodality - integration of modes of linguistic, visual, audio, gestural and spatial modes of meaning - young people require a broadened repertoire of literacy capacities.
Educational authorities with responsibility for literacy policy have responded in terms of curriculum, and assessment advice within a context of rapidly changing forms of multimodal communication. This paper details the early twenty-first century response of one educational authoríty, the Department of Education, Victoria, in reviewing early years literacy curriculum and assessment in light of the rapid developments in digital communications.

Windfarms, powerlines and phone masts : the changing face of stigma

Previous research has identified varying degrees of stigma attached to high voltage overhead transmission lines (HVOTLs) depending upon characteristics such as visibility, size, location and the potential impact on house value. In addition to HVOTLs there are other common types of infrastructure, namely mobile phone towers and windfarms, that are also large highly visible
structures and can exhibit similar characteristics. These similarities include varying levels of visibility from properties in the immediate vicinity, a high general profile in society and varying perceptions from surrounding residents about possible side effects. This research broadens the framework originally developed to study HVOTLs to encompass mobile phone towers and windfarms. It undertakes a literature review of research in this area and proposes a research methodology for identifying and quantifying the varying levels of stigma attached to these three forms of infrastructure. The final results will enable the resulting effect on property values to be better understood, and assist developers to fully understand their effect on devaluing land prices.

A new screen face for public service broadcasting

The contemporary broadcasting industry is characterised by technological and social change, it is increasingly competitive, and the media industry is fragmenting. New services need not necessarily compete with existing free-to-air broadcasting but could act as further incentive for audiences to invest in new equipment. New equipment will be necessary in the future as set out under the Television Broadcasting Services (Digital Conversion) Act 2000 (Cth), before the planned switch-off of analogue broadcasts planned for this year but now likely to be 2013. By then, however, audiences might already have migrated to the online environment for television and radio content as well as other services. Those that produce and deliver programs via free-to-air broadcasting need to consider what audiences do with new media in order to engage them. This will be an ongoing process as technology and audience expectations continue to change. Against such a background, this article examines how Australia’s public broadcasters are responding to the new media environment. It will consider their interactive online programs and services with specific analysis of ABC’s new ‘iView’ and ‘ABC Fora’ which offer content on-demand. It will also examine SBS online initiatives. I wish to argue that the new media offer public broadcasters new prospects to provide forums and spaces for education, entertainment, public discussion and interaction online.

It was an experience that totally blew up in my face : Steve Railsback and Turkey shoot

The schlock horror film Turkey Shoot is widely regarded as one of the most disreputable Australian exploitation titles in a genre already well noted for controversy. This short article frames the controversies that surround the film from production to critical reception, which sets the scene for an interview by Mark Harley with the film's star Steve Railsback, who reflects on the movie's production, his role, the controversy and the film's reception.

Efficient tensor based face recognition

This paper addresses the limitation of current multilinear PCA based techniques, in terms of pro- hibitive computational cost of testing and poor gen- eralisation in some scenarios, when applied to large training databases. We define person-specific eigen-modes to obtain a set of projection bases, wherein a particular basis captures variation across light- ings and viewpoints for a particular person. A new recognition approach is developed utilizing these bases. The proposed approach performs on a par with the existing multilinear approaches, whilst sig- nificantly reducing the complexity order of the testing algorithm.

Face recognition using kernel ridge regression

In this paper, we present novel ridge regression (RR) and kernel ridge regression (KRR) techniques for multivariate labels and apply the methods to the problem of face recognition. Motivated by the fact that the regular simplex vertices are separate points with highest degree of symmetry, we choose such vertices as the targets for the distinct individuals in recognition and apply RR or KRR to map the training face images into a face subspace where the training images from each individual will locate near their individual targets. We identify the new face image by mapping it into this face subspace and comparing its distance to all individual targets. An efficient cross-validation algorithm is also provided for selecting the regularization and kernel parameters. Experiments were conducted on two face databases and the results demonstrate that the proposed algorithm significantly outperforms the three popular linear face recognition techniques (Eigenfaces, Fisherfaces and Laplacianfaces) and also performs comparably with the recently developed Orthogonal Laplacianfaces with the advantage of computational speed. Experimental results also demonstrate that KRR outperforms RR as expected since KRR can utilize the nonlinear structure of the face images. Although we concentrate on face recognition in this paper, the proposed method is general and may be applied for general multi-category classification problems.

Application of the DCT energy histogram for face recognition

In this paper, we investigate the face recognition problem via energy histogram of the DCT coefficients. Several issues related to the recognition performance are discussed, In particular the issue of histogram bin sizes and feature sets. In addition, we propose a technique for selecting the classification threshold incrementally. Experimentation was conducted on the Yale face database and results indicated that the threshold obtained via the proposed technique provides a balanced recognition in term of precision and recall. Furthermore, it demonstrated that the energy histogram algorithm outperformed the well-known Eigenface algorithm.

Random Subspace Two-Dimensional PCA for face recognition

The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA method in recognising human face. However, in many cases, this method tends to be overfitted to sample data. In this paper, we proposed a novel method named random subspace two-dimensional PCA (RS-2DPCA), which combines the 2DPCA method with the random subspace (RS) technique. The RS-2DPCA inherits the advantages of both the 2DPCA and RS technique, thus it can avoid the overfitting problem and achieve high recognition accuracy. Experimental results in three benchmark face data sets -the ORL database, the Yale face database and the extended Yale face database B - confirm our hypothesis that the RS-2DPCA is superior to the 2DPCA itself.

Face recognition via incremental 2DPCA

Recently, the Two-Dimensional Principal Component Analysis (2DPCA) model is proposed and proved to be an efficient approach for face recognition. In this paper, we will investigate the incremental 2DPCA and develop a new constructive method for incrementally adding observation to the existing eigen-space model. An explicit formula for incremental learning is derived. In order to illustrate the effectiveness of the proposed approach, we performed some typical experiments and show that we can only keep the eigen-space of previous images and discard the raw images in the face recognition process. Furthermore, this proposed incremental approach is faster when compared to the batch method (2DPCD) and the recognition rate and reconstruction accuracy are as good as those obtained by the batch method.

Face recognition via the overlapping energy histogram

In this paper we investigate the face recognition problem via the overlapping energy histogram of the DCT coefficients. Particularly, we investigate some important issues relating to the recognition performance, such as the issue of selecting threshold and the number of bins. These selection methods utilise information obtained from the training dataset. Experimentation is conducted on the Yale face database and results indicate that the proposed parameter selection methods perform well in selecting the threshold and number of bins. Furthermore, we show that the proposed overlapping energy histogram approach outperforms the Eigenfaces, 2DPCA and energy histogram significantly.

Ecophysiology of avian migration in the face of current global hazards

Long-distance migratory birds are often considered extreme athletes, possessing a range of traits that approach the physiological limits of vertebrate design. In addition, their movements must be carefully timed to ensure that they obtain resources of sufficient quantity and quality to satisfy their high-energy needs. Migratory birds may therefore be particularly vulnerable to global change processes that are projected to alter the quality and quantity of resource availability. Because long-distance flight requires high and sustained aerobic capacity, even minor decreases in vitality can have large negative consequences for migrants. In the light of this, we assess how current global change processes may affect the ability of birds to meet the physiological demands of migration, and suggest areas where avian physiologists may help to identify potential hazards. Predicting the consequences of global change scenarios on migrant species requires (i) reconciliation of empirical and theoretical studies of avian flight physiology; (ii) an understanding of the effects of food quality, toxicants and disease on migrant performance; and (iii) mechanistic models that integrate abiotic and biotic factors to predict migratory behaviour. Critically, a multi-dimensional concept of vitality would greatly facilitate evaluation of the impact of various global change processes on the population dynamics of migratory birds.