Stochastic sampling in computer graphics
ACM Transactions on Graphics (TOG)
The Reyes image rendering architecture
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Moveo ergo video: natural retinal image motion and its effect on vision
Exploratory vision
Computing the discrepancy with applications to supersampling patterns
ACM Transactions on Graphics (TOG)
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Principles of Digital Image Synthesis
Principles of Digital Image Synthesis
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
A human eye retinal cone synthesizer
SIGGRAPH '05 ACM SIGGRAPH 2005 Sketches
NETRA: interactive display for estimating refractive errors and focal range
ACM SIGGRAPH 2010 papers
Apparent display resolution enhancement for moving images
ACM SIGGRAPH 2010 papers
CATRA: interactive measuring and modeling of cataracts
ACM SIGGRAPH 2011 papers
Tailored displays to compensate for visual aberrations
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
A Computational Model of Afterimages
Computer Graphics Forum
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A photon accurate model of individual cones in the human eye perceiving images on digital display devices is presented. Playback of streams of pixel video data is modeled as individual photon emission events from within the physical substructure of each display pixel. The thus generated electromagnetic wavefronts are refracted through a four surface model of the human cornea and lens, and diffracted at the pupil. The position, size, shape, and orientation of each of the five million photoreceptor cones in the retina are individually modeled by a new synthetic retina model. Photon absorption events map the collapsing wavefront to photon detection events in a particular cone, resulting in images of the photon counts in the retinal cone array. The custom rendering systems used to generate sequences of these images takes a number of optical and physical properties of the image formation into account, including wavelength dependent absorption in the tissues of the eye, and the motion blur caused by slight movement of the eye during a frame of viewing. The creation of this new model is part of a larger framework for understanding how changes to computer graphics rendering algorithms and changes in image display devices are related to artifacts visible to human viewers.