Error-bounded Image Triangulation

dc.contributor.authorFang, Zhi-Duoen_US
dc.contributor.authorGuo, Jia-Pengen_US
dc.contributor.authorXiao, Yanyangen_US
dc.contributor.authorFu, Xiao-Mingen_US
dc.contributor.editorChaine, Raphaëlleen_US
dc.contributor.editorDeng, Zhigangen_US
dc.contributor.editorKim, Min H.en_US
dc.date.accessioned2023-10-09T07:36:42Z
dc.date.available2023-10-09T07:36:42Z
dc.date.issued2023
dc.description.abstractWe propose a novel image triangulation method to reduce the complexity of image triangulation under the color error-bounded constraint and the triangle quality constraint. Meanwhile, we realize a variety of visual effects by supporting different types of triangles (e.g., linear or curved) and color approximation functions (e.g., constant, linear, or quadratic). To adapt to these discontinuous and combinatorial objectives and constraints, we formulate it as a constrained optimization problem that is solved by a series of tailored local remeshing operations. The feasibility and practicability of our method are demonstrated over various types of images, such as organisms, landscapes, portraits and cartoons. Compared to state-of-the-art methods, our method generates far fewer triangles for the same color error or much smaller color errors using the same number of triangles.en_US
dc.description.number7
dc.description.sectionheadersImages, Vectorization, and Layouts
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14967
dc.identifier.issn1467-8659
dc.identifier.pages13 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14967
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14967
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Computing methodologies -> Shape modeling
dc.subjectComputing methodologies
dc.subjectShape modeling
dc.titleError-bounded Image Triangulationen_US
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