Stroke Based Painterly Rendering

International audienceMany traditional art forms are produced by an artist sequentially placing a set of marks, such as brush strokes, on a canvas. Stroke based Rendering (SBR) is inspired by this process, and underpins many early and contemporary Artistic Stylization algorithms. This Chapter outlines the origins of SBR, and describes key algorithms for placement of brush strokes to create painterly renderings from source images. The chapter explores both local greedy, and global optimization based approaches to stroke placement. The issue of creative control in SBR is also briefly discussed

Parents' experience of child contact within entrenched conflict families following separation and divorce: a qualitative study

Child contact arrangements with parents following separation and divorce are strongly endorsed for children in both public policy and law where safe, but can be difficult to sustain. Entrenched high-conflict post-separation relationships between parents can cause substantial emotional risks to children as well as impacting severely on parents’ mental health. This paper describes a qualitative study, aimed at examining parents’ experiences of contact arrangements post-separation, undertaken within a mixed methods random allocation study of therapeutic outcomes for parents in entrenched conflict over their children. Two established semi-structured interviews with 22 parents were jointly subjected to thematic analyses. A thematic analysis across interviews revealed three main themes: ‘Dealing with contact evokes extreme states of mind’ for parents; when speaking of contact, the child is ‘everywhere and nowhere’ in the parents’ minds; ‘the hardest thing about contact is dealing with my ex-partner’. These findings indicate the immense strain children and parents are under and shed much light on the desperate states of mind for parents, particularly the anxieties driving relentless child contact disputes. This paper may contribute to the understanding of parents’ experiences of contact arrangements post-separation, potentially providing important information which can inform best practice for professionals working with this population

Solving the Uncalibrated Photometric Stereo Problem using Total Variation

International audienceIn this paper we propose a new method to solve the problem of uncalibrated photometric stereo, making very weak assumptions on the properties of the scene to be reconstructed. Our goal is to solve the generalized bas-relief ambiguity (GBR) by performing a total variation regularization of both the estimated normal field and albedo. Unlike most of the previous attempts to solve this ambiguity, our approach does not rely on any prior information about the shape or the albedo, apart from its piecewise smoothness. We test our method on real images and obtain results comparable to the state-of-the-art algorithms

Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks

We propose a computational framework to learn stylisation patterns from example drawings or writings, and then generate new trajectories that possess similar stylistic qualities. We particularly focus on the generation and stylisation of trajectories that are similar to the ones that can be seen in calligraphy and graffiti art. Our system is able to extract and learn dynamic and visual qualities from a small number of user defined examples which can be recorded with a digitiser device, such as a tablet, mouse or motion capture sensors. Our system is then able to transform new user drawn traces to be kinematically and stylistically similar to the training examples. We implement the system using a Recurrent Mixture Density Network (RMDN) combined with a representation given by the parameters of the Sigma Lognormal model, a physiologically plausible model of movement that has been shown to closely reproduce the velocity and trace of human handwriting gestures