2016 International Conference on Cyberworlds (CW) 2016
DOI: 10.1109/cw.2016.12
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Detail-Preserving 3D Shape Modeling from Raw Volumetric Dataset via Hessian-Constrained Local Implicit Surfaces Optimization

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Cited by 2 publications
(1 citation statement)
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“…The display representation expresses the geometric contours in a relatively concrete and intuitively accessible way; the implicit representation, on the other hand, does not present the geometric contours of the object intuitively and expresses them through relatively abstract implicit functions. Recently, implicit characterization techniques have garnered considerable attention from researchers [1][2] due to the continuity of implicit functions that are combinable with deep neural networks. This became a current research hotspot that has been widely explored [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…The display representation expresses the geometric contours in a relatively concrete and intuitively accessible way; the implicit representation, on the other hand, does not present the geometric contours of the object intuitively and expresses them through relatively abstract implicit functions. Recently, implicit characterization techniques have garnered considerable attention from researchers [1][2] due to the continuity of implicit functions that are combinable with deep neural networks. This became a current research hotspot that has been widely explored [3,4].…”
Section: Introductionmentioning
confidence: 99%