Event
M.S. Thesis Defense: Xiaoxu Meng
Tuesday, November 27, 2018
12:30 p.m.
AVW 3438
Maria Hoo
301 405 3681
mch@umd.edu
ANNOUNCEMENT: M.S. Thesis Defense
Name: Xiaoxu Meng
Committee:
Professor Joseph F. JaJa, Chair/Advisor
Professor Amitabh Varshney, Co-advisor
Professor Tudor Dumitras
Date/Time: Tuesday, November 27, 2018 at 12:30 pm
Location: AVW 3438
Title: Foveated Rendering Technique in Graphics
Abstract:
Foveated rendering coupled with eye-tracking has the potential to dramatically accelerate interactive 3D graphics with minimal loss of perceptual detail.
I develop a new foveated rendering technique: Kernel Foveated Rendering (KFR), which parameterize foveated rendering by embedding polynomial kernel functions in log-polar mapping. This GPU-driven technique uses parameterized foveation that mimics the distribution of photoreceptors in the human retina. I present a two-pass kernel foveated rendering pipeline that maps well onto modern GPUs. In the first pass, I compute the kernel log-polar transformation and render to a reduced-resolution buffer. In the second pass, I carry out the inverse-log-polar transformation with anti-aliasing to map the reduced-resolution rendering to the full-resolution screen. I carry out user studies to empirically identify the KFR parameters and observe a 2.8X-3.2X speedup in rendering on 4K UHD(2160p) displays. The eye-tracking-guided kernel foveated rendering can resolve the mutually conflicting goals of interactive rendering and perceptual realism.
I develop a new foveated rendering technique: Kernel Foveated Rendering (KFR), which parameterize foveated rendering by embedding polynomial kernel functions in log-polar mapping. This GPU-driven technique uses parameterized foveation that mimics the distribution of photoreceptors in the human retina. I present a two-pass kernel foveated rendering pipeline that maps well onto modern GPUs. In the first pass, I compute the kernel log-polar transformation and render to a reduced-resolution buffer. In the second pass, I carry out the inverse-log-polar transformation with anti-aliasing to map the reduced-resolution rendering to the full-resolution screen. I carry out user studies to empirically identify the KFR parameters and observe a 2.8X-3.2X speedup in rendering on 4K UHD(2160p) displays. The eye-tracking-guided kernel foveated rendering can resolve the mutually conflicting goals of interactive rendering and perceptual realism.
