Illumination Space: A Feature Space for Radiance Maps

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dc.contributor.authorChalmers, Andrewen_US
dc.contributor.authorZickler, Todden_US
dc.contributor.authorRhee, Taehyunen_US
dc.contributor.editorLee, Sung-hee and Zollmann, Stefanie and Okabe, Makoto and Wuensche, Burkharden_US
dc.date.accessioned2020-10-29T18:39:32Z
dc.date.available2020-10-29T18:39:32Z
dc.date.issued2020
dc.description.abstractRadiance maps (RM) are used for capturing the lighting properties of real-world environments. Databases of RMs are useful for various rendering applications such as Look Development, live action composition, mixed reality, and machine learning. Such databases are not useful if they cannot be organized in a meaningful way. To address this, we introduce the illumination space, a feature space that arranges RM databases based on illumination properties. We avoid manual labeling by automatically extracting features from an RM that provides a concise and semantically meaningful representation of its typical lighting effects. This is made possible with the following contributions: a method to automatically extract a small set of dominant and ambient lighting properties from RMs, and a low-dimensional (5D) light feature vector summarizing these properties to form the illumination space. Our method is motivated by how the RM illuminates the scene as opposed to describing the textural content of the RM.en_US
dc.description.sectionheadersRendering
dc.description.seriesinformationPacific Graphics Short Papers, Posters, and Work-in-Progress Papers
dc.identifier.doi10.2312/pg.20201223
dc.identifier.isbn978-3-03868-120-5
dc.identifier.pages7-12
dc.identifier.urihttps://doi.org/10.2312/pg.20201223
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pg20201223
dc.publisherThe Eurographics Associationen_US
dc.titleIllumination Space: A Feature Space for Radiance Mapsen_US
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