Abstract: Since the early nineties, we have pioneered the work of simulating 3D garments using complex 3D physics based particule system. Since then, we have refined our physics based model and we have even proposed real-time simulation for Virtual try on applications. In our talk, we will summarize the problems that we have solved to have both high fashion garments simulation and also how anybody can try on any cloth on line. We will discuss what are the open research questions in this area. We will show several case studies, particularly in the cultural heritage domain where several high fashion garments have been designed and shown in exhibitions and museums. We will also show an application in augmented reality on the Pompeii site.

Abstract: Researchers from several fields are still working hard to try and develop a complete model of the human visual system. Ideally, such model would explain everything from color appearance, to image understanding and visual illusions. This is of course a formidable task that will still take decades to accomplish. On the other hand, due to rapid advances in optical fabrication and digital processing power, a new generation of display technologies is emerging. In this talk we will see how leveraging both fields, perception and computational displays, can lead to novel imaging technology, from glasses-free 3D displays to apparent enhanced image quality. In particular, we will review psycho-physiological aspects that are of importance for display design and demonstrate how perceptually-driven computational displays can enhance the capability of current technology.

Abstract: For a number of years, performance and surface smoothness have been the driving forces in the development of new geometry processing algorithms. Structure and shape analysis have mostly been considered as an independent pre-processing stage in order to partition a given geometric model into segments. This segmentation was then used to restrict the scope of certain mesh operations such as parametrization for texturing or reverse engineering, deformation, and re-meshing. The recent trend towards a higher and higher complexity of 3D models and the diversification of geometric modeling and processing into a much wider range of application domains (CAD/CAM, Simulation, Visualization, Games, Animation, Medicine, …) has revealed the need to introduce higher levels of abstraction into geometric models in order to manage this versatility. At the same time, new (interactive) modeling paradigms are investigated which facilitate the exploration of shape design spaces through intuitive interfaces. Hence, on the one hand an integrated view on model representation and shape control is desirable for the sake of efficiency but on the other hand, the diversity of requirements in different application scenarios require that shape control has to be made independent from the underlying representation. This is achieved by introducing different levels of abstraction for geometric models. In my talk, I propose a taxonomy which distinguishes (1) the representation layer, (2) the feature layer, (3) the control layer, (4) the constraint layer, and (5) the procedural layer. I will present, a number of recent projects performed by the Computer Graphics Group at RWTH Aachen University which generate and exploit these levels of abstraction in order to solve specific geometric modeling tasks. It will include examples for model augmentation, i.e. the transformation of raw triangle meshes into meshes whose structure better captures the global features of the underlying geometric shape by proper orientation and alignment of polygonal faces (quad mesh/layout generation). Moreover, I will present shape modeling techniques that abstract from the particular representation and allow for effective and intuitive interactive shape modifications. Through the introduction of (potentially non-linear) constraints, we can further abstract from the underlying representation by restricting shape modifications to “plausible” or “admissible” designs.

Abstract: We present a linear algorithm to reconstruct the vertex coordinates for a surface mesh given its edge lengths and dihedral angles, unique up to rotation and translation. A local integrability condition for the existence of an immersion of the mesh in 3D Euclidean space is provided, mirroring the fundamental theorem of surfaces in the continuous setting (i.e., Gauss’s equation and the Mainardi-Codazzi equations) if we regard edge lengths as the discrete first fundamental form and dihedral angles as the discrete second fundamental form. The resulting sparse linear system to solve for the immersion is derived from the convex optimization of a quadratic energy based on a lift from the immersion in the 3D Euclidean space to the 6D rigid motion space. This discrete representation and linear reconstruction can potentially benefit a wide range of geometry processing tasks such as surface deformation and shape analysis. A rotation-invariant surface deformation through point and orientation constraints is demonstrated as well.