Intrinsic Light Field Images

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dc.contributor.authorGarces, Elenaen_US
dc.contributor.authorEchevarria, Jose I.en_US
dc.contributor.authorZhang, Wenen_US
dc.contributor.authorWu, Hongzhien_US
dc.contributor.authorZhou, Kunen_US
dc.contributor.authorGutierrez, Diegoen_US
dc.contributor.editorChen, Min and Zhang, Hao (Richard)en_US
dc.date.accessioned2018-01-10T07:43:22Z
dc.date.available2018-01-10T07:43:22Z
dc.date.issued2017
dc.description.abstractWe present a method to automatically decompose a light field into its intrinsic shading and albedo components. Contrary to previous work targeted to two‐dimensional (2D) single images and videos, a light field is a 4D structure that captures non‐integrated incoming radiance over a discrete angular domain. This higher dimensionality of the problem renders previous state‐of‐the‐art algorithms impractical either due to their cost of processing a single 2D slice, or their inability to enforce proper coherence in additional dimensions. We propose a new decomposition algorithm that jointly optimizes the whole light field data for proper angular coherence. For efficiency, we extend Retinex theory, working on the gradient domain, where new albedo and occlusion terms are introduced. Results show that our method provides 4D intrinsic decompositions difficult to achieve with previous state‐of‐the‐art algorithms. We further provide a comprehensive analysis and comparisons with existing intrinsic image/video decomposition methods on light field images.We present a method to automatically decompose a into its intrinsic shading and albedo components. Contrary to previous work targeted to two‐dimensional (2D) single images and videos, a light field is a 4D structure that captures non‐integrated incoming radiance over a discrete angular domain. This higher dimensionality of the problem renders previous state‐of‐the‐art algorithms impractical either due to their cost of processing a single 2D slice, or their inability to enforce proper coherence in additional dimensions. We propose a new decomposition algorithm that jointly optimizes the whole light field data for proper angular coherence.en_US
dc.description.number8
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.13154
dc.identifier.issn1467-8659
dc.identifier.pages589-599
dc.identifier.urihttps://doi.org/10.1111/cgf.13154
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13154
dc.publisher© 2017 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectimage/video editing
dc.subjectimage processing
dc.subjectcomputational photography
dc.subjectimage and video processing
dc.subjectComputing methodologies—Scene understanding
dc.subjectComputer vision problems
dc.subjectReflectance modeling
dc.titleIntrinsic Light Field Imagesen_US
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