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Superresolution Reflectance Fields: Synthesizing images for intermediate light directions
Author(s) -
Fuchs Martin,
Lensch Hendrik P. A.,
Blanz Volker,
Seidel HansPeter
Publication year - 2007
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/j.1467-8659.2007.01067.x
Subject(s) - computer vision , computer science , artificial intelligence , specular reflection , shadow (psychology) , global illumination , light field , interpolation (computer graphics) , pipeline (software) , reflectivity , sampling (signal processing) , segmentation , computer graphics (images) , image (mathematics) , rendering (computer graphics) , optics , physics , psychology , filter (signal processing) , psychotherapist , programming language
Captured reflectance fields tend to provide a relatively coarse sampling of the incident light directions. As a result, sharp illumination features, such as highlights or shadow boundaries, are poorly reconstructed during relighting; highlights are disconnected, and shadows show banding artefacts. In this paper, we propose a novel interpolation technique for 4D reflectance fields that reconstructs plausible images even for non‐observed light directions. Given a sparsely sampled reflectance field, we can effectively synthesize images as they would have been obtained from denser sampling. The processing pipeline consists of three steps: (1) segmentation of regions where intermediate lighting cannot be obtained by blending, (2) appropriate flow algorithms for highlights and shadows, plus (3) a final reconstruction technique that uses image‐based priors to faithfully correct errors that might be introduced by the segmentation or flow step. The algorithm reliably reproduces scenes that contain specular highlights, interreflections, shadows or caustics.