Webbinarium: Real-time Snow and Cloud Animation in Computer Graphics

Physically based simulation methods are important in several domains, including computer graphics (CG), to capture the accurate behavior of materials. Snow and cloud animation methods are required in many applications. Snow simulation, for instance, is of interest to companies developing snow-ploughing vehicles or to authorities dealing with road cleaning/maintenance. Similarly, cloud animation has applications in designing realistic virtual flight simulators, etc. A key limitation in snow or cloud solvers in the base field (civil, physics, agriculture engineering) is efficiency. The existing solvers are targeted to achieve high accuracy, which makes the computational time last hours, weeks, or even months.

“In this talk, I will briefly introduce the contributions of my work at Blekinge Technical Institute (BTH) at Karlskrona in the field of efficient snow and cloud simulation in CG. With the help of a Graphics Processing Unit (GPU) and efficient parallel models, we developed a snow solver that can run at high frame rates. Our solution could be useful to applications that desire real-time response from snow physics with a trade-off in accuracy. We have also proposed the use of Machine Learning to animate clouds to the end of realistic and efficient cloud animation. We aim to further develop our strength areas in collaboration with the industry by jointly working on problem-solving, which they might also be interested in.”

Brief bio Prashant Goswami

Dr. Prashant Goswami is an Associate Professor (Universitetslektor/Docent) in the Department of Computer Science (DIDA), falling under the Faculty of Computing at BTH (Blekinge Institute of Technology). He started as an Assistant Professor (Universitetslektor) in November 2014. He obtained his B. Tech and M. Tech (dual degree) in Computer Science and Engineering from the Indian Institute of Technology (IIT), New Delhi (2000-2005). After spending two years in the industry, he started his PhD at the University of Zurich in July 2007. He successfully defended his dissertation titled “Level-of-detail and Parallel Solutions in Computer Graphics” in December 2011. He spent little more than a year as a Research Fellow at the gameLab at Nanyang Technological University, (NTU) Singapore (March 2012 – April 2013), where he worked in the field of geometric modeling. He was a postdoc at the MAVERICK group at INRIA, Grenoble (August 2013 – November 2014), where he focused on real-time landscape-size convective cloud simulation before moving to BTH.

Homepage: https://prashantgos.github.io/
Publications: https://prashantgos.github.io/Publications.html
Google Scholar Profile: https://scholar.google.com/citations?hl=en&user=TGmVSaQAAAAJ

Information och anmälan

Detta webbinarium ges på engelska och efter presentationen (ca 30 min) kommer det finnas tid för frågor. Webbinariet är kostnadsfritt och bara för HFN-medlemmar. Anmälan sker i detta formulär senast den 4 oktober och zoomlänk skickas ut till anmälda dagen före webbinariet.