In this thesis, the structure from motion problem for calibrated scenes containing independently moving objects (IMO) has been studied. For this purpose, the overall reconstruction process is partitioned into various stages. The first stage deals with the fundamental problem of estimating structure and motion by using only two views. This process starts with finding some salient features using a sub-pixel version of the Harris corner detector. The features are matched by the help of a similarity and neighborhood-based matcher. In order to reject the outliers and estimate the fundamental matrix of the two images, a robust estimation is performed via RANSAC and normalized 8-point algorithms. Two-view reconstruction is finalized by decomposing the fundamental matrix and estimating the 3D-point locations as a result of triangulation. The second stage of the reconstruction is the generalization of the two-view algorithm for the N-view case. This goal is accomplished by first reconstructing an initial framework from the first stage and then relating the additional views by finding correspondences between the new view and already reconstructed views. In this way, 3D-2D projection pairs are determined and the projection matrix of this new view is estimated by using a robust procedure. The final section deals with scenes containing IMOs. In order to reject the correspondences due to moving objects, parallax-based rigidity constraint is used. In utilizing this constraint, an automatic background pixel selection algorithm is developed and an IMO rejection algorithm is also proposed. The results of the proposed algorithm are compared against that of a robust outlier rejection algorithm and found to be quite promising in terms of execution time vs. reconstruction quality.

Chemical vapor deposition (CVD) is an industrially important process to deposit crystalline and amorphous thin films on solid substrates. In situ sensing for CVD is necessary for process monitoring, fault detection, and process control. The challenge of in situ sensing lies in the prohibitive environment of the CVD process. Optical sensors such as the reflectometer and the ellipsometer are the most promising sensors because they can be installed outside of the deposition chamber, and are sensitive and easy to implement. However, the optical sensors do not measure film properties directly. Mathematical methods are needed to extract film properties from indirect optical measurements. Currently the most commonly used method is least squares fitting. In this project, we systematically investigated in situ reflectometry data interpretation based on state estimation theory. Optical models for light reflection on both smooth and rough surfaces were studied. The model validation results indicated that the effective medium model is better than the scalar scattering model when the surface is microscopically rough. The analysis of the observability for the sensor models indicated that the linearized observability does not always guarantee the true observability of a nonlinear system. We studied various state estimators such as batch least squares fitting (BLS), recursive least squares fitting (RLS), extended Kalman filter (EKF), and moving horizon estimation (MHE). It was shown that MHE is the general least-squares-based state estimation and BLS, RLS, and EKF are special cases of MHE. To reduce the computational requirement of MHE, a modified moving horizon estimator (mMHE) was developed which combines the advantage of the computational efficiency in RLS and the a priori estimate in MHE. State estimators were compared in simulated film growth processes, including both process model mismatch and sensor model mismatch, and reflection of both single wavelength and dual wavelength. In the case of process model mismatch and reflection on a smooth surface, there exists an optimum horizon size for both RLS and mMHE, although mMHE is less sensitive to the horizon size and performs better than RLS at all horizon sizes. The estimate with dual wavelength is more accurate than that with single wavelength indicating that estimation improves with more independent measurements. In the case of reflection on a rough surface, RLS failed to give a reasonable estimate due to the strong correlation between roughness and the extinction coefficient. However, mMHE successfully estimated the extinction coefficient and surface roughness by using the a priori estimate. MHE is much more computationally intensive than mMHE and there is no significant improvement on the estimation results. In the case of sensor model mismatch, either state estimator gave a good result, although mMHE consistently gave a better estimate, especially at a shorter horizon size. In order to test the state estimators in a real world environment, we built a cold-wall low-pressure chemical vapor deposition testbed with an in situ emissivity-correcting pyrometer. Fully automatic data-acquisition and instrument-control software was developed for the CVD testbed using LabVIEW. State estimators were compared using two experimental reflectance data sets acquired under different deposition conditions. The estimated film properties are compared with ex situ ellipsometry and AFM characterization results. In all cases, mMHE consistently yielded better estimates for processes under quite different deposition conditions. This indicated that mMHE is a useful and robust state estimator for in situ sensor data interpretation. By using the information from both the process and the sensor model, one can obtain a better estimate. A good feature of mMHE is that it provides such a versatile framework to organize all these useful information and gives a user the opportunity to interact with fitting and make wise decisions in the in situ sensor data interpretation.

Consider a Gaussian stationary stochastic vector process with the property that designated pairs of components are conditionally independent given the rest of the components. Such processes can be represented on a graph where the components are nodes and the lack of a connecting link between two nodes signifies conditional independence. This leads to a sparsity pattern in the inverse of the matrix-valued spectral density. Such graphical models find applications in speech, bioinformatics, image processing, econometrics and many other fields, where the problem to fit an autoregressive (AR) model to such a process has been considered. In this paper we take this problem one step further, namely to fit an autoregressive moving-average (ARMA) model to the same data. We develop a theoretical framework and an optimization procedure which also spreads further light on previous approaches and results. This procedure is then applied to the identification problem of estimating the ARMA parameters as well as the topology of the graph from statistical data. / <p>Updated from "Preprint" to "Article" QC 20130627</p>

This project explores the areas of human perception and story narrative in moving images. Engaged by the research question, “Can spectators become co-authors in the process of a story narrative?”, the research focuses on exploring the co-existence and contradiction between the values of spectators and an author in a process of a narrative by developing a new potential narrative approach with multiple perspectives. I hypothesise that spectators could participate with the story narrative process as co-authors. My key method is to engage with spectators’ participation within a narration (story) by displaying story fragments across multiple screens simultaneously. The potential of having a story spread across multiple screens might bring further interest to authors to re-think the notion of a spectator and tell a story with multiple perspectives in a narrative process with spectators. In order to develop this project, I will use different approaches, such as Grounded Theory (Strauss & Corbin, 1998), Data Visualisation (Tufte, 1983), Action Research (Kemmis & McTaggart, 1988) and Heuristics (Moustakas, 1990), which I will explain in further details in each chapter of my exegesis.

The expanding potential for the dissemination and archiving of aphorisms is explored in this practice-based research thesis. An aphorism is a short statement that communicates an insight about the world (and can sometimes function as a guide to action). Eric McLuhan, interviewed in Signs of the Times: The History of Writing (Goëss Video, 1996), suggests that the future of the book is the aphoristic statement. Aphoristic knowledge has traditionally been transmitted through texts and through libraries, but this project brings into play various modes of recirculating aphoristic texts using contemporary distribution networks and digital media such as moving image, projection on to urban screens, artists’ books, archival digital photography and glazed ceramics. Texts ‘virally inhabit’ a number of sites and languages in a series of works situated in the interdisciplinary context of contemporary text art and artists’ books. The sayings rejoin the cultural river of ideas in local and international incarnations. Practice-based work (80%) and exegesis (20%)

This project explores the areas of human perception and story narrative in moving images. Engaged by the research question, “Can spectators become co-authors in the process of a story narrative?”, the research focuses on exploring the co-existence and contradiction between the values of spectators and an author in a process of a narrative by developing a new potential narrative approach with multiple perspectives. I hypothesise that spectators could participate with the story narrative process as co-authors. My key method is to engage with spectators’ participation within a narration (story) by displaying story fragments across multiple screens simultaneously. The potential of having a story spread across multiple screens might bring further interest to authors to re-think the notion of a spectator and tell a story with multiple perspectives in a narrative process with spectators. In order to develop this project, I will use different approaches, such as Grounded Theory (Strauss & Corbin, 1998), Data Visualisation (Tufte, 1983), Action Research (Kemmis & McTaggart, 1988) and Heuristics (Moustakas, 1990), which I will explain in further details in each chapter of my exegesis.

Master of Science/Doctor of Clinical Psychology / Figures from the Australian Bureau of Statistics show that over 40% of all Australian children moved at least one time in the census period from 1996 to 2001 (ABS, 2001). The literature varies in the impact that this has on children. The purpose of this study was to examine the associations between residential relocation, resilience and the emotional, behavioural and academic adjustment of children 8-12 years of age who had moved. Risk factors as identified in the literature as well as the relative impact of resilience were examined. By studying how adjustment occurs in the context of resilience, possible areas for prevention and intervention may be developed for the large numbers of children who move. Results showed that the sample population was in the normal range in academic and behavioural terms. The sample was found to have repeated more grades than average; however the children did not exhibit significant behavioural or emotional consequences. A number of demographic factors have been indicated in the literature as affecting adjustment after residential relocations, yet these were generally not found to be significantly associated with adjustment for this study population. Socioeconomic status was the only factor other than resilience to have been significantly associated with adjustment. Possibly due to the developmental stage of the participants, only the resilience subscales of interpersonal strength and school functioning were found to be significant in their positive association with adjustment, leading to fewer behavioural and academic problems. While the children in this study have all had the potential stress of moving house, the demographic characteristics of this sample would suggest that they might not have had to encounter multiple life challenges or adversities. This conclusion may help explain the lack of significant effects of demographic factors on the adjustment of the children in this sample. Results highlight the importance of good schooling and that the core business of schools in building and enhancing the intellectual functioning of children, is a vital component in the development of resilience. These findings suggest that different aspects of resilience may be important for different developmental stages and different life stressors. The distinction between cause and effect when examining resilience factors is discussed and it is suggested that outcomes in one context may be treated as influences upon outcomes in another context.

Doctor of Education / With the heightened profile of language learning in a global community, language education is exploring a new model of intercultural language learning. The goal of intercultural language learning is to produce language users equipped with explicit skills in understanding connections and differences between their own culture and the culture of the target language. The research literature suggests that language learners’ resulting intercultural competence will encompass a range of characteristics. There have been few empirical studies, however, to provide illustration of intercultural competence, in order to assist teachers’ understanding of desired outcomes and student development. This case study investigates the characteristics of intercultural competence in young language learners in one Australian primary school. The learners have been engaged in an immersion language program for up to eight years, in one of three languages: French, German or Japanese. The study also investigates the behaviours and understandings in their language teachers which may facilitate the development of learners’ intercultural competence. It explores in summary what may be the nature of intercultural competence in the case study language learners. The study is relevant to research of both intercultural language learning and of immersion language classrooms. Using a case study design, the study incorporates qualitative data in the form of student focus group interviews, teacher interviews, and classroom observations. Data were collected at the case study school, in Sydney, Australia, over a school semester, and involved 49 Year 6 students and four teachers. Results of the study suggest a number of indicators of the case study students’ development in intercultural competence – that is, through understanding of language culture and identity. The student is and sees him or herself as a purposeful interactive communicator. The student understands the target language itself to be the vehicle of the target culture, and often displays metalinguistic curiosity and skills. Some students are able to critically reflect on their (multiple) linguistic and cultural memberships, and to negotiate their identity as a non-native language user. The study found that teachers provide a model of interculturality to their students. The teachers’ interculturality is enacted in their relationships and pedagogical choices, in their design of experiential learning tasks, and their facilitation of linguistic and cultural connections for their students. The study also found that the nature of the immersion language classroom itself facilitates intercultural competence in students. The study provides a case study illustration of intercultural competence in language learners which is relevant to research in intercultural language learning, immersion pedagogy and the emerging related pedagogy of content-based language learning.

Thesis (Ph.D.) -- University of Western Sydney, 2003. / "A thesis presented to the University of Western Sydney in partial fulfilment of the requirements for the degree of Doctor of Philosophy"--t.p. "March 2003" Bibliography: p. 347 - 381.

Thesis (Ph. D.)--University of Kansas, 1933. / Published also without thesis note.