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Thesis

Perceptual Modeling for Stereoscopic 3D

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons79305

Kellnhofer,  Petr
Computer Graphics, MPI for Informatics, Max Planck Society;
International Max Planck Research School, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45095

Myszkowski,  Karol
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Kellnhofer, P. (2016). Perceptual Modeling for Stereoscopic 3D. PhD Thesis, Universität des Saarlandes, Saarbrücken.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002B-BBA6-1
Abstract
Virtual and Augmented Reality applications typically rely on both stereoscopic presentation and involve intensive object and observer motion. A combination of high dynamic range and stereoscopic capabilities become popular for consumer displays, and is a desirable functionality of head mounted displays to come. The thesis is focused on complex interactions between all these visual cues on digital displays. The first part investigates challenges of the stereoscopic 3D and motion combination. We consider an interaction between the continuous motion presented as discrete frames. Then, we discuss a disparity processing for accurate reproduction of objects moving in the depth direction. Finally, we investigate the depth perception as a function of motion parallax and eye fixation changes by means of saccadic motion. The second part focuses on the role of high dynamic range imaging for stereoscopic displays. We go beyond the current display capabilities by considering the full perceivable luminance range and we simulate the real world experience in such adaptation conditions. In particular, we address the problems of disparity retargeting across such wide luminance ranges and reflective/refractive surface rendering. The core of our research methodology is perceptual modeling supported by our own experimental studies to overcome limitations of current display technologies and improve the viewer experience by enhancing perceived depth, reducing visual artifacts or improving viewing comfort.