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dc.contributor.authorLopez, Angelesen_US
dc.contributor.authorGarces, Elenaen_US
dc.contributor.authorGutierrez, Diegoen_US
dc.contributor.editorAdolfo Munoz and Pere-Pau Vazquezen_US
dc.description.abstractIn this paper we present a method to obtain a depth map from a single image of a scene by exploiting both image content and user interaction. Assuming that regions with low gradients will have similar depth values, we formulate the problem as an optimization process across a graph, where pixels are considered as nodes and edges between neighbouring pixels are assigned weights based on the image gradient. Starting from a number of userdefined constraints, depth values are propagated between highly connected nodes i.e. with small gradients. Such constraints include, for example, depth equalities and inequalities between pairs of pixels, and may include some information about perspective. This framework provides a depth map of the scene, which is useful for a number of applications.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectViewing algorithmsen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]en_US
dc.subjectScene Analysisen_US
dc.subjectDepth cuesen_US
dc.titleDepth from a Single Image Through User Interactionen_US
dc.description.seriesinformationSpanish Computer Graphics Conference (CEIG)en_US

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  • CEIG14
    ISBN 978-3-905674-67-5

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