Guest Speaker

Speaker: Christian Richardt

Title: Predicting stereoscopic viewing comfort

Interest in stereoscopic 3D imagery has seen a resurgence in recent years. This development has been primarily driven by the computer gaming and film industries, which are taking advantage of the availability of improved stereoscopic 3D display technology. However, even the latest stereoscopic 3D displays can lead to visual discomfort and fatigue.

Speaker: Mashhuda Glencross

Title: Creating High Quality Relightable Buildings from Photographs

The human perceptual system is the key to creating effective and believable 3D imagery from photographs. An otherwise accurate model looks "peculiar" if the surface appears to take on the wrong texture or shininess. A significantly less accurate model with the correct surface appearance on the other hand can appear perfectly plausible. In this talk I will illustrate this idea through example ``hallucinated'' 3D models of textured surfaces and show how such models can be transferred to entire building facades.

Speaker: Vladimir Kim

Title: Intrinsic geometry for surface correspondence and symmetry analysis 
Finding correspondences between surfaces is one of the fundamental problems with applications in computer graphics, computer vision, paleontology and molecular biology. We leverage small dimensionality of certain intrinsic transformation spaces to efficiently explore isometric and near-isometric mappings between surfaces.

Speaker: Helmut Pottman

Title:  Geometric Computing for Freeform Architecture

Freeform surfaces play an increasingly important role in contemporary architecture. While digital models are easily created, the actual fabrication and construction of architectural freeform structures remains a challenge. In order to make a freeform design realizable, an optimization process known as rationalization has to be applied.

Speaker: Steven Gortler


Title: Springs Springs Springs and Struts


Consider replacing each edge of a mesh or a graph with either a spring or a strut. Suppose that we then place the vertices of the graph in space such that this physical system is in equilibrium. What does this imply?