Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/214
DC FieldValueLanguage
dc.contributor.authorLiu, Xuetingen_US
dc.contributor.otherJayaraman, P. K.-
dc.contributor.otherFu, C. W.-
dc.contributor.otherZheng, J.-
dc.contributor.otherWong, T. T.-
dc.date.accessioned2021-03-15T08:30:50Z-
dc.date.available2021-03-15T08:30:50Z-
dc.date.issued2018-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/214-
dc.description.abstractShading is a tedious process for artists involved in 2D cartoon and manga production given the volume of contents that the artists have to prepare regularly over tight schedule. While we can automate shading production with the presence of geometry, it is impractical for artists to model the geometry for every single drawing. In this work, we aim to automate shading generation by analyzing the local shapes, connections, and spatial arrangement of wrinkle strokes in a clean line drawing. By this, artists can focus more on the design rather than the tedious manual editing work, and experiment with different shading effects under different conditions. To achieve this, we have made three key technical contributions. First, we model five perceptual cues by exploring relevant psychological principles to estimate the local depth profile around strokes. Second, we formulate stroke interpretation as a global optimization model that simultaneously balances different interpretations suggested by the perceptual cues and minimizes the interpretation discrepancy. Lastly, we develop a wrinkle aware inflation method to generate a height field for the surface to support the shading region computation. In particular, we enable the generation of two commonly-used shading styles: 3D-like soft shading and manga-style flat shading.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Visualization and Computer Graphicsen_US
dc.titleGlobally consistent wrinkle-aware shading of line drawingsen_US
dc.typejournal articleen_US
dc.identifier.doi10.1109/TVCG.2017.2705182-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn1941-0506en_US
dc.description.volume24en_US
dc.description.issue7en_US
dc.description.startpage2103en_US
dc.description.endpage2117en_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairetypejournal article-
item.grantfulltextnone-
crisitem.author.deptSchool of Computing and Information Sciences-
Appears in Collections:CIS Publication
SFX Query Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.