Piotr Didyk
Saarland University, MMCI / MPI Informatik, Germany
Title: Perceptually-driven inputs for new display devices
Biography
Biography: Piotr Didyk
Abstract
There has been a tremendous increase in quality and number of new display devices, such as stereo and automultiscopic screens or virtual and augmented reality headsets. Some of them have already entered the mass production and gained a lot of users’ attention; others will follow this trend promptly. Unfortunately, abilities of these emerging technologies outperform capabilities of methods and tools for creating content.
Existing displays have a number of limitations, which make it difficult to reproduce real-world appearance; discrete pixels are used to represent images, the output luminance range is smaller than in the real world, and only two dimensions are available to reproduce a three-dimensional scene. Furthermore, the efficiency of content creation techniques struggles to keep up with high-quality demands. On the other hand, the human visual system has many limitations, like those imposed by the density of photoreceptors, imperfections in the eye optics, or non-uniform sensitivity to spatial and depth details across the visual field. I argue that the current level of understanding of how new displays technologies influence user experience is insufficient to exploit their advantages fully.
In this talk, I will show that careful combinations of new hardware, computation, and models of human perception are crucial for providing best visual quality. Taking limitations of the human visual system into account and using perceptual effects enable designing methods which overcome the physical display limitations and enhance apparent image qualities. I will start my talk by showing a perceptually-driven optimization that improves the spatial resolution of displays beyond their physical capabilities. Next, I will discuss techniques for overcoming limitations of 3D displays, including content creation, adjustment, and hardware design. I will also talk about our recent work on foveated rendering. I will conclude by giving an overview of the perceptual-driven methodology and discussing other applications.