Intrinsic Decompositions for Image Editing

dc.contributor.authorBonneel, Nicolasen_US
dc.contributor.authorKovacs, Balazsen_US
dc.contributor.authorParis, Sylvainen_US
dc.contributor.authorBala, Kavitaen_US
dc.contributor.editorVictor Ostromoukov and Matthias Zwickeren_US
dc.date.accessioned2017-04-22T16:49:32Z
dc.date.available2017-04-22T16:49:32Z
dc.date.issued2017
dc.description.abstractIntrinsic images are a mid-level representation of an image that decompose the image into reflectance and illumination layers. The reflectance layer captures the color/texture of surfaces in the scene, while the illumination layer captures shading effects caused by interactions between scene illumination and surface geometry. Intrinsic images have a long history in computer vision and recently in computer graphics, and have been shown to be a useful representation for tasks ranging from scene understanding and reconstruction to image editing. In this report, we review and evaluate past work on this problem. Specifically, we discuss each work in terms of the priors they impose on the intrinsic image problem. We introduce a new synthetic ground-truth dataset that we use to evaluate the validity of these priors and the performance of the methods. Finally, we evaluate the performance of the different methods in the context of image-editing applications.en_US
dc.description.documenttypestar
dc.description.number2
dc.description.sectionheadersState of the Art Reports
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.13149
dc.identifier.issn1467-8659
dc.identifier.pages593-609
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13149
dc.identifier.urihttps://doi.org/10.1111/cgf.13149
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectLine and curve generation
dc.titleIntrinsic Decompositions for Image Editingen_US
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