For the next STORM webinar, Interns will present their internship topic.
Here is the title and abstract of their internship topic.
Loïc Robert : Skull Retro-distorsion.
After millennia underground, any piece of History can get damaged. It doesn’t except human and animals bones. In this work we focus on the deformation of crushed skulls, in order to estimate the original undeformed shape (a process called retro-distortion). In order to model a skull’s original shape, we explored and implemented a deformation handle controlling the shape of the skull symmetry plane. We model the deformed plane as a Bezier surface patch, implemented in Radium Engine. It may allow us some interactions across the point-cloud representation of a human skull, and so that opening the possibility to get a visual about the original state of this one, with a user-interactive interface.
Inès Louahadj : Painting animation.
Stroke Based Painterly Rendering is a new technique related to Artistic Rendering that consists in applying brush strokes on a canvas. The goal is to assist artists on animating paintings. Animation requires a navigable time-line, so that artists can easily modify the content of each frame while impacting next frames as well using caches. Our goal is to enhance Painty, an interactive painting software. We are integrating a proper time-line functionality as well as a layering system. Layers of paintings are distinct glass plates of strokes that can be stacked. Each one is independent. However, we can explore how far we can push this technique by changing the texture of each layer according to the others.
Yann-Situ Gazull : Constraint automatic instantiation for color palettes
Color palettes are used by artists to define colors of artworks and explore color design. A general model for color palettes was proposed in Constrained Palette-Space Exploration [Mellado et al. 2017]. It consists in linking colors with constraints about various properties (for example contrast or energy consumption) and then search for a set of colors that minimize the constraint costs. Due to its generality, the model can tackle several problems such as harmonization or color vision deficiency, however it can be hard and time-consuming to correctly choose the constraints for a given problem. The aim of my work is to create methods that automatically instantiate the appropriate constraints for a given problem. I firstly worked on the conservation of gradients and shades, I’m currently tackling the problem of harmonization.
This seminar will take place on Friday 05/06 at 14pm on Tixeo.