Image‐Based Tree Variations

dc.contributor.authorArgudo, Oscaren_US
dc.contributor.authorAndújar, Carlosen_US
dc.contributor.authorChica, Antonien_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2020-05-22T12:24:41Z
dc.date.available2020-05-22T12:24:41Z
dc.date.issued2020
dc.description.abstractThe automatic generation of realistic vegetation closely reproducing the appearance of specific plant species is still a challenging topic in computer graphics. In this paper, we present a new approach to generate new tree models from a small collection of frontal RGBA images of trees. The new models are represented either as single billboards (suitable for still image generation in areas such as architecture rendering) or as billboard clouds (providing parallax effects in interactive applications). Key ingredients of our method include the synthesis of new contours through convex combinations of exemplar countours, the automatic segmentation into crown/trunk classes and the transfer of RGBA colour from the exemplar images to the synthetic target. We also describe a fully automatic approach to convert a single tree image into a billboard cloud by extracting superpixels and distributing them inside a silhouette‐defined 3D volume. Our algorithm allows for the automatic generation of an arbitrary number of tree variations from minimal input, and thus provides a fast solution to add vegetation variety in outdoor scenes.en_US
dc.description.number1
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.13752
dc.identifier.issn1467-8659
dc.identifier.pages174-184
dc.identifier.urihttps://doi.org/10.1111/cgf.13752
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13752
dc.publisher© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subjectimage‐based modelling
dc.subjectmodelling
dc.subjectimage‐based rendering
dc.subjectrendering
dc.subject• Computing methodologies → Image‐based rendering
dc.titleImage‐Based Tree Variationsen_US
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