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Perception‐driven Accelerated Rendering
Author(s) -
Weier M.,
Stengel M.,
Roth T.,
Didyk P.,
Eisemann E.,
Eisemann M.,
Grogorick S.,
Hinkenjann A.,
Kruijff E.,
Magnor M.,
Myszkowski K.,
Slusallek P.
Publication year - 2017
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.13150
Subject(s) - computer science , pixel , rendering (computer graphics) , gamut , computer vision , artificial intelligence , computer graphics (images) , exploit , high dynamic range , motion blur , human visual system model , computer graphics , frame rate , perception , dynamic range , image (mathematics) , computer security , neuroscience , biology
Advances in computer graphics enable us to create digital images of astonishing complexity and realism. However, processing resources are still a limiting factor. Hence, many costly but desirable aspects of realism are often not accounted for, including global illumination, accurate depth of field and motion blur, spectral effects, etc. especially in real‐time rendering. At the same time, there is a strong trend towards more pixels per display due to larger displays, higher pixel densities or larger fields of view. Further observable trends in current display technology include more bits per pixel (high dynamic range, wider color gamut/fidelity), increasing refresh rates (better motion depiction), and an increasing number of displayed views per pixel (stereo, multi‐view, all the way to holographic or lightfield displays). These developments cause significant unsolved technical challenges due to aspects such as limited compute power and bandwidth. Fortunately, the human visual system has certain limitations, which mean that providing the highest possible visual quality is not always necessary. In this report, we present the key research and models that exploit the limitations of perception to tackle visual quality and workload alike. Moreover, we present the open problems and promising future research targeting the question of how we can minimize the effort to compute and display only the necessary pixels while still offering a user full visual experience.