Speaker: Christian Richardt
Title: Predicting stereoscopic viewing comfort
Interest in stereoscopic 3D imagery has seen a resurgence in recent years. This development has been primarily driven by the computer gaming and film industries, which are taking advantage of the availability of improved stereoscopic 3D display technology. However, even the latest stereoscopic 3D displays can lead to visual discomfort and fatigue.
In this talk, I will introduce a novel computational model for objectively assessing the visual comfort of stereoscopic 3D imagery. The model integrates research in visual perception with tools from stereo computer vision to quantify the degree of stereo coherence between both stereo half-images. The coherence scores computed by the model strongly correlate with human comfort ratings, as shown by a perceptual study. Based on these experiments, this talk further describes a taxonomy of stereo coherence issues which affect viewing comfort, and how they can be identified and localised in stereoscopic 3D images using computational tools.
This talk is based on the paper:
Predicting Stereoscopic Viewing Comfort Using a Coherence-Based Computational Model
Christian Richardt, Lech Åšwirski, Ian P. Davies and Neil A. Dodgson
Computational Aesthetics 2011, Vancouver, 5“7 August 2011
Christian Richardt is a PhD student in the Rainbow Group at the University of Cambridge Computer Laboratory. His research interests lie in visual computing, focusing on stereoscopic vision and graphics as well as non-photorealistic rendering (NPR). In his PhD, he investigates the role of coherent depth in NPR, as an input modality (think RGBZ video) and in terms of assessing stereoscopic viewing comfort. He has interned with Disney Research Zurich and MPI Informatik. Christian enjoys teaching and supervising student projects, which regularly receive project prizes. He is planning to submit in November 2011 and to graduate in March 2012.