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dc.contributor.authorKakimoto, Masanorien_US
dc.contributor.authorTatsukawa, Tomoakien_US
dc.contributor.authorMukai, Yukiteruen_US
dc.contributor.authorNishita, Tomoyukien_US
dc.date.accessioned2015-02-21T15:43:14Z
dc.date.available2015-02-21T15:43:14Z
dc.date.issued2007en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2007.01086.xen_US
dc.description.abstractThis paper describes a fast rendering algorithm for verification of spectacle lens design. Our method simulates refraction corrections of astigmatism as well as myopia or presbyopia. Refraction and defocus are the main issues in the simulation. For refraction, our proposed method uses per-vertex basis ray tracing which warps the environment map and produces a real-time refracted image which is subjectively as good as ray tracing. Conventional defocus simulation was previously done by distribution ray tracing and a real-time solution was impossible. We introduce the concept of a blur field, which we use to displace every vertex according to its position. The blurring information is precomputed as a set of field values distributed to voxels which are formed by evenly subdividing the perspective projected space. The field values can be determined by tracing a wavefront from each voxel through the lens and the eye, and by evaluating the spread of light at the retina considering the best human accommodation effort. The blur field is stored as texture data and referred to by the vertex shader that displaces each vertex. With an interactive frame rate, blending the multiple rendering results produces a blurred image comparable to distribution ray tracing output.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleInteractive Simulation of the Human Eye Depth of Field and Its Correction by Spectacle Lensesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume26en_US
dc.description.number3en_US
dc.identifier.doi10.1111/j.1467-8659.2007.01086.xen_US
dc.identifier.pages627-636en_US


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