Hierarchical model fitting to 2D and 3D data

©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.We propose a method for interactively generating a model-based reconstruction of a scene from a set of images. The method facilitates the fitting of multiple object models to the data in a manner that provides the best overall fit to the image set. This requires that models are not fit independently, but rather collectively, each potentially impacting upon the fit of the other.A. van den Hengel, A. Dick, T. Thormahlen, B. Ward, P. H. S. Tor

Building and sustaining Work Engagement – A participatory action intervention to increase Work Engagement in nursing staff

This study evaluated whether a participatory action research intervention with nursing staff on acute care older people NHS wards in the UK was effective for increasing work engagement. Mediation analyses between job resources, (social support, influence in decision-making), job demands, work-related needs (autonomy, competence, relatedness), and work engagement explored the presumed psychological mechanisms underlying the intervention. A nonrandomised, matched control group, pre-test, post-test design involved three intervention and five control wards. A significant decrease in relatedness, and a borderline significant decrease in competence, was observed in the intervention group compared to the control group, with no effect on work engagement (N=45). Work-related needs mediated between resources and work engagement, supporting the Job Demands-Resources model and Self-Determination Theory as an underlying explanatory theory. Intervention implementation was difficult, highlighting the need for participant and organisational readiness for change, and strong management support. This is the first known study to apply participatory techniques to increase work engagement in nursing staff and explore the underlying explanatory psychological mechanisms, offering a novel means of taking work engagement research forward. Crucially, it highlights the challenges involved in intervention research and the importance of including evaluations of intervention implementation alongside statistical evaluations to avoid erroneous conclusions

Mid-life psychosocial work environment as a predictor of work exit by age 50.

OBJECTIVES: To examine whether psychosocial work characteristics at age 45 years predict exit from the labour market by the age of 50 years in data from the 1958 British Birth Cohort. METHODS: Psychosocial work characteristics (decision latitude, job demands, job strain and work social support at 45 years and job insecurity at 42 years) measured by questionnaire were linked to employment outcomes (unemployment, retirement, permanent sickness, homemaking) at 50 years in 6510 male and female participants. RESULTS: Low decision latitude (RR = 2.01, 95%CI 1.06,3.79), low work social support (RR = 1.96, 95%CI 1.12,3.44), and high job insecurity (RR = 2.27, 95%CI 1.41, 3.67) predicted unemployment at 50, adjusting for sex, housing tenure, socioeconomic status, marital status, and education. High demands were associated with lower risk of unemployment (RR = 0.50, 95%CI 0.29,0.88) but higher risk of permanent sickness (RR = 2.14, 95%CI 1.09,4.21). CONCLUSIONS: Keeping people in the workforce beyond 50 years may contribute to both personal and national prosperity. Employers may wish to improve working conditions for older workers, in particular, increase control over work, increase support and reduce demands to retain older employees in the workforce

In situ image-based modeling

We present an interactive image-based modelling method for generating 3D models within an augmented reality system. Applying real time camera tracking, and high-level automated image analysis, enables more powerful modelling interactions than have previously been possible. The result is an immersive modelling process which generates accurate three dimensional models of real objects efficiently and effectively. In demonstrating the modelling process on a range of indoor and outdoor scenes, we show the flexibility it offers in enabling augmented reality applications in previously unseen environments.Anton van den Hengel, Rhys Hill Ben Ward and Anthony Dic

A relaxation method to articulated trajectory reconstruction from monocular image sequence

In this paper, we present a novel method for articulated trajectory reconstruction from a monocular image sequence. We propose a relaxation-based objective function, which utilises both smoothness and geometric constraints, posing articulated trajectory reconstruction as a non-linear optimization problem. The main advantage of this approach is that it remains the re-constructive power of the original algorithm, while improving its robustness to the inevitable noise in the data. Furthermore, we present an effective approach to estimating the parameters of our objective function. Experimental results on the CMU motion capture dataset show that our proposed algorithm is effective.Bo Li, Yuchao Dai, Mingyi He, Anton van den Henge

Regular Scene Reconstruction from Image Sequences

Thorsten Thormahlen, Anthony Dick, Anton van den Hengel, Ben Ward and Philip H.S. Tor

Fitting multiple models to multiple images with minimal user interaction

Anton van den Hengel, Anthony Dick, Thorsten Thormaehlen, Phillip H. S. Torr, Ben Wardhttp://perception.inrialpes.fr/wrupkv/?page=final_progra

A shape hierarchy for 3D modelling from video

This paper describes an interactive method for generating a model of a scene from image data. The method uses the camera parameters and point cloud typically generated by structure-and-motion estimation as a starting point for developing a higher level model, in which the scene is represented as a set of parameterised shapes. Classes of shapes are represented in a hierarchy which defines their properties but also the method by which they are localised in the scene, using a combination of user interaction, sampling and optimisation. Relations between shapes, such as adjancency and alignment, are also specified interactively. The method thus provides a modelling process which requires the user to provide only high level scene information, the remaining detail being provided through geometric analysis of the image set. This mixture of guided, yet automated, fitting techniques allows a non-expert user to rapidly and intuitively create a visually convincing 3D model of a real world scene from an image set