Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/100605
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dc.contributor.authorLiu, Yaqiongen
dc.contributor.authorLin, Xinen
dc.contributor.authorShou, Guochuen
dc.contributor.authorSeah, Hock Soonen
dc.date.accessioned2019-06-06T06:38:44Zen
dc.date.accessioned2019-12-06T20:25:16Z-
dc.date.available2019-06-06T06:38:44Zen
dc.date.available2019-12-06T20:25:16Z-
dc.date.issued2018en
dc.identifier.citationLiu, Y., Lin, X., Shou, G., & Seah, H. S. (2019). 2D image deformation based on guaranteed feature correspondence and mesh mapping. IEEE Access, 7, 5208-5221. doi:10.1109/ACCESS.2018.2887078en
dc.identifier.urihttps://hdl.handle.net/10356/100605-
dc.description.abstractImage deformation has ubiquitous usage in multimedia applications. It morphs one image into another through a seamless transition. Existing techniques either mainly focus on the correspondence mapping of interior features of the objects in two images, without considering object contours, or sketch contours manually, resulting in tedious work for users. Thus, we propose a 2D image deformation method, which extracts object contours automatically, considers both inner features and contours as constraints and preserves image features in terms of visual importance. Our method first automatically extracts the object contours in the source and target images and then allows users to sketch some interior features in both the images. Then, our method tessellates two images to generate two triangular meshes and builds a guaranteed bijective mesh mapping between them. We also prove the bijectivity of our mesh mapping and discuss its other desirable properties. Then, our method generates the intermediate images between the source and target images by calculating the intermediate meshes and pixels of each intermediate image. Our method realizes automatic contour extraction, provides an intuitive user interface and utilizes harmonic maps to establish a bijective mesh mapping. Therefore, it preserves more significant features with less distortion and works well for many image deformation cases in real time.en
dc.format.extent14 p.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE Accessen
dc.rights© 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more informationen
dc.subjectDRNTU::Engineering::Computer science and engineeringen
dc.subjectAutomatic Contour Exactionen
dc.subject2D Image Deformation/Morphingen
dc.title2D image deformation based on guaranteed feature correspondence and mesh mappingen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen
dc.identifier.doi10.1109/ACCESS.2018.2887078en
dc.description.versionPublished versionen
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