Sparse Representation of Terrains for Procedural Modeling

Simple item page
dc.contributor.authorGuérin, Ericen_US
dc.contributor.authorDigne, Julieen_US
dc.contributor.authorGalin, Ericen_US
dc.contributor.authorPeytavie, Adrienen_US
dc.contributor.editorJoaquim Jorge and Ming Linen_US
dc.date.accessioned2016-04-26T08:37:52Z
dc.date.available2016-04-26T08:37:52Z
dc.date.issued2016en_US
dc.description.abstractIn this paper, we present a simple and efficient method to represent terrains as elevation functions built from linear combinations of landform features (atoms). These features can be extracted either from real world data-sets or procedural primitives, or from any combination of multiple terrain models. Our approach consists in representing the elevation function as a sparse combination of primitives, a concept which we call Sparse Construction Tree, which blends the different landform features stored in a dictionary. The sparse representation allows us to represent complex terrains using combinations of atoms from a small dictionary, yielding a powerful and compact terrain representation and synthesis tool. Moreover, we present a method for automatically learning the dictionary and generating the Sparse Construction Tree model. We demonstrate the efficiency of our method in several applications: inverse procedural modeling of terrains, terrain amplification and synthesis from a coarse sketch.en_US
dc.description.number2en_US
dc.description.sectionheadersTerrains & Fluidsen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12821en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages177-187en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12821en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectModelingen_US
dc.subjectNatural Phenomenaen_US
dc.subjectModelingen_US
dc.subjectProcedural Modelingen_US
dc.titleSparse Representation of Terrains for Procedural Modelingen_US
Files
Collections
35-Issue 2
EG 2016 - Full Papers - CGF 35-Issue 2