Sparse High-degree Polynomials for Wide-angle Lenses

dc.contributor.authorSchrade, Emanuelen_US
dc.contributor.authorHanika, Johannesen_US
dc.contributor.authorDachsbacher, Carstenen_US
dc.contributor.editorElmar Eisemann and Eugene Fiumeen_US
dc.date.accessioned2016-06-17T14:09:37Z
dc.date.available2016-06-17T14:09:37Z
dc.date.issued2016en_US
dc.description.abstractRendering with accurate camera models greatly increases realism and improves the match of synthetic imagery to real-life footage. Photographic lenses can be simulated by ray tracing, but the performance depends on the complexity of the lens system, and some operations required for modern algorithms, such as deterministic connections, can be difficult to achieve. We generalise the approach of polynomial optics, i.e. expressing the light field transformation from the sensor to the outer pupil using a polynomial, to work with extreme wide angle (fisheye) lenses and aspherical elements. We also show how sparse polynomials can be constructed from the large space of high-degree terms (we tested up to degree 15). We achieve this using a variant of orthogonal matching pursuit instead of a Taylor series when computing the polynomials. We show two applications: photorealistic rendering using Monte Carlo methods, where we introduce a new aperture sampling technique that is suitable for light tracing, and an interactive preview method suitable for rendering with deep images.en_US
dc.description.number4en_US
dc.description.sectionheadersLooking Through Surfacesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12952en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages089-097en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12952en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectRaytracingen_US
dc.titleSparse High-degree Polynomials for Wide-angle Lensesen_US
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