A team comprising a Master’s student and two graduates won the Best Student Paper award at the 17th International Conference on Computer Graphics Theory and Applications (GRAPP 2022), which took place online in February this year. GRAPP is a conference that brings together researchers, engineers and practitioners interested in both theoretical advances and applications of computer graphics.
Master of Science in Computer Science student Tan Yu Wei, Computer Science graduate Chua Yun Zhi Nicholas, and Master of Computing in Computer Science graduate Biette Nathan Jean Emmanuel, along with NUS Computing Senior Lecturer Dr Anand Bhojan, took home the award for their paper on real-time rendering of depth of field effect in games.
In their paper, A Hybrid System for Real-time Rendering of Depth of Field Effect in Games, the team developed a way to improve the cinematic look of real-time applications, such as video games and the metaverse.
One key component of cinematic quality is the depth of field effect in cameras, which makes objects out of focus. Depth of field refers to the distance between the nearest and farthest objects that are in sharp focus in an image. One example of depth of field is the blurring of the background in a close-up shot of a character.