Visualizing the Future of Computing


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Visual computing is the science of sensing, modeling, simulating, processing, understanding, visualizing and displaying all forms of information. Over the past few decades, visual computing has become a key enabling technology for a diverse set of applications spanning scientific discovery, medicine, consumer electronics and entertainment, among others.

At KAUST, the Visual Computing Center (VCC) draws its expertise from a pool of disciplines, including computer science, electrical engineering, mechanical engineering and applied mathematics. The center utilizes a range of application domains to tackle problems of unique importance to the Kingdom and create commercial opportunities in the form of startup companies as well as patents and licensing agreements.

The VCC shared its interdisciplinary approach to device development, image and video understanding, semantic analysis, geometric modeling, simulation and visualization with global partners and colleagues at the recent on campus Visual Computing (KAUST RC-VC) – Modeling and Reconstruction conference.

The conference, which was held from April 10 to 12, brought visual computing experts together from both KAUST and abroad and industry representatives with the intention of focusing on computer graphics—specifically on topics centered on geometry and simulation.

A global and local outlook

In his opening remarks, Wolfgang Heidrich, director of the VCC, described his center’s research thrust and how its vision fits with the University’s overall mission and values; he also welcomed the overseas conference attendees to the University.

“KAUST is striving to be a destination for researchers and research—people come here because of what is going on in science and education. KAUST is a globally oriented research university, but we are also trying to kick-start the local industry. From the center's point of view, we also look at startups, of which FalconViz is one of the most successful and most mature,” he said.

“KAUST is a very different place to come to conferences and we are very excited to see the work you are all going to present,” Heidrich added.

Matthieu Desbrun, professor of computing and mathematical sciences, Caltech gave the first keynote presentation at the KAUST Visual Computing (KAUST RC-VC) – Modeling and Reconstruction conference. ​

‘Equilibrium is a geometric statement’

The first keynote presentation of the conference was by Matthieu Desbrun, professor of computing and mathematical sciences, Caltech. Desbrun’s presentation was on the power of primal/dual meshes for modeling and animation, in which he discussed the notion of orthogonal dual diagrams by displaying a series of recent works that explored the full space of orthogonal primal/dual meshes.

Desbrun also covered a range of real-world applications varying from point sampling and fluid dynamics to barycentric coordinates and self-supporting masonry.

“Voronoi diagrams have been the basis for lots of computer programs and meshes in the past,” he noted. “Equilibrium is a geometric statement—it is a well-studied problem, yet no full characterization of solutions is available. Simple geometry principles can have so many applications." 

A continuous interpolation

Paul Kry, associate professor at McGill University, presented his work exploring the trade-off between high-fidelity motion and interactive simulation rates for physically based simulation of contact, deformation and articulated structures. Kry also covered examples such as numerical coarsening of elastic solids, discretization of contact at arbitrary resolutions and reduced models for compliant structures.

“Contact-deformation articulated structures are important for training, games, movies and simulation. However, there are also some important limitations with embedded meshes. We can use the arbitrary resolution to deal with the contact problem,” Kry said.

Another invited international attendee, a computer scientist and Saudi native Ibrahim Alhashim from Simon Fraser University, spoke about networking topology and specifically shape matching and modeling. Alhashim, a recipient of the 2015 Alain Fournier Ph.D. Dissertation Award, said, “3-D modeling is hard—you need to recombine or shuffle the different parts from shapes.”

“In our work, adding continuous blending produces richer varieties. Novel and inspiring designs come up from having blended shapes. We need to find a continuous interpolation of two man-made 3-D shapes,” Alhashim added.

In the final presentation of the day, Justin Solomon, assistant professor in MIT's Department of Electrical Engineering and Computer Science and one of Forbes Magazine’s 30 Under 30: Science, spoke about the geometric problems that occur in computer graphics, vision and machine learning. In his opening remarks, Solomon said, “Geometry in the application implies geometry in the computational problem. Information that spreads out a little faster still doesn't fix this problem.”

He went on to describe new methods for problems arising in shape analysis/correspondence, flows on graphs and surface parameterization.

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