Convolution Filtering of Continuous Signed Distance Fields for Polygonal Meshes

Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C1 discontinuities causing creases to appear when applying operations such as blending or metamorphosis. The focus of this work is to efficiently evaluate the signed distance funct...

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Vydané v:Computer Graphics Forum Ročník 34; číslo 6; s. 277 - 288
Hlavní autori: Sanchez, Mathieu, Fryazinov, Oleg, Fayolle, Pierre-Alain, Pasko, Alexander
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Blackwell Publishing Ltd 01.09.2015
Wiley
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ISSN:0167-7055, 1467-8659
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Abstract Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C1 discontinuities causing creases to appear when applying operations such as blending or metamorphosis. The focus of this work is to efficiently evaluate the signed distance function and to apply a smoothing filter to it while preserving the shape of the initial mesh. The resulting function is smooth almost everywhere, while preserving the exact shape of the polygonal mesh. Due to its low complexity, the proposed filtering technique remains fast compared to its main alternatives providing C1‐continuous distance field approximation. Several applications are presented such as blending, metamorphosis and heterogeneous modelling with polygonal meshes. Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C1 discontinuities causing creases to appear when applying operations such as blending or metamorphosis. The focus of this work is to efficiently evaluate the signed distance function and to apply a smoothing filter to it while preserving the shape of the initial mesh. The resulting function is smooth almost everywhere, while preserving the exact shape of the polygonal mesh. Due to its low complexity, the proposed filtering technique remains fast compared to its main alternatives providing C1‐continuous distance field approximation. Several applications are presented such as blending, metamorphosis and heterogeneous modelling with polygonal meshes.
AbstractList Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C super(1) discontinuities causing creases to appear when applying operations such as blending or metamorphosis. The focus of this work is to efficiently evaluate the signed distance function and to apply a smoothing filter to it while preserving the shape of the initial mesh. The resulting function is smooth almost everywhere, while preserving the exact shape of the polygonal mesh. Due to its low complexity, the proposed filtering technique remains fast compared to its main alternatives providing C super(1)-continuous distance field approximation. Several applications are presented such as blending, metamorphosis and heterogeneous modelling with polygonal meshes. Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C super(1) discontinuities causing creases to appear when applying operations such as blending or metamorphosis. The focus of this work is to efficiently evaluate the signed distance function and to apply a smoothing filter to it while preserving the shape of the initial mesh. The resulting function is smooth almost everywhere, while preserving the exact shape of the polygonal mesh. Due to its low complexity, the proposed filtering technique remains fast compared to its main alternatives providing C super(1)-continuous distance field approximation. Several applications are presented such as blending, metamorphosis and heterogeneous modelling with polygonal meshes.
Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C 1 discontinuities causing creases to appear when applying operations such as blending or metamorphosis. The focus of this work is to efficiently evaluate the signed distance function and to apply a smoothing filter to it while preserving the shape of the initial mesh. The resulting function is smooth almost everywhere, while preserving the exact shape of the polygonal mesh. Due to its low complexity, the proposed filtering technique remains fast compared to its main alternatives providing C 1 ‐continuous distance field approximation. Several applications are presented such as blending, metamorphosis and heterogeneous modelling with polygonal meshes.
Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C1 discontinuities causing creases to appear when applying operations such as blending or metamorphosis. The focus of this work is to efficiently evaluate the signed distance function and to apply a smoothing filter to it while preserving the shape of the initial mesh. The resulting function is smooth almost everywhere, while preserving the exact shape of the polygonal mesh. Due to its low complexity, the proposed filtering technique remains fast compared to its main alternatives providing C1-continuous distance field approximation. Several applications are presented such as blending, metamorphosis and heterogeneous modelling with polygonal meshes.
Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C1 discontinuities causing creases to appear when applying operations such as blending or metamorphosis. The focus of this work is to efficiently evaluate the signed distance function and to apply a smoothing filter to it while preserving the shape of the initial mesh. The resulting function is smooth almost everywhere, while preserving the exact shape of the polygonal mesh. Due to its low complexity, the proposed filtering technique remains fast compared to its main alternatives providing C1‐continuous distance field approximation. Several applications are presented such as blending, metamorphosis and heterogeneous modelling with polygonal meshes. Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C1 discontinuities causing creases to appear when applying operations such as blending or metamorphosis. The focus of this work is to efficiently evaluate the signed distance function and to apply a smoothing filter to it while preserving the shape of the initial mesh. The resulting function is smooth almost everywhere, while preserving the exact shape of the polygonal mesh. Due to its low complexity, the proposed filtering technique remains fast compared to its main alternatives providing C1‐continuous distance field approximation. Several applications are presented such as blending, metamorphosis and heterogeneous modelling with polygonal meshes.
Author Fryazinov, Oleg
Pasko, Alexander
Sanchez, Mathieu
Fayolle, Pierre-Alain
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  surname: Fayolle
  fullname: Fayolle, Pierre-Alain
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  givenname: Alexander
  surname: Pasko
  fullname: Pasko, Alexander
  email: apasko@bournemouth.ac.uk
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References_xml – reference: [PT92]  Payne B. A., Toga A. W.: Distance field manipulation of surface models. IEEE Computer Graphics and Applications 12 (January 1992), 65-71.
– reference: [CB14]  Calderon S., Boubekeur T.: Point morphology. ACM Transactions on Graphics (2014). (Proc. SIGGRAPH 2014), 33, 45:1-45:13.
– reference: [GBC*13]  Gourmel O., Barthe L., Cani M.-P., Wyvill B., Bernhardt A., Paulin M., Grasberger H.: A gradient-based implicit blend. ACM Transactions on Graphics 32, 2 (Apr. 2013), 12:1-12:12.
– reference: [PASS95]  Pasko A., Adzhiev V., Sourin A., Savchenko V.: Function representation in geometric modeling: Concepts, implementation and applications. The Visual Computer 11, 8 (1995), 429-446.
– reference: [FPA11]  Fryazinov O., Pasko A. A., Adzhiev V.: BSP-fields: An exact representation of polygonal objects by differentiable scalar fields based on binary space partitioning. Computer-Aided Design 43, 3 (2011), 265-277.
– reference: [BFP13]  Belyaev A., Fayolle P.-A., Pasko A.: Signed Lp-distance fields. Computer Aided Design 45, 2 (Feb. 2013), 523-528.
– reference: [LW11]  Liu S., Wang C. C.: Fast intersection-free offset surface generation from freeform models with triangular meshes. IEEE Transactions on Automation Science and Engineering 8, 2 (2011), 347-360.
– reference: [SOS04]  Shen C., O'Brien J. F., Shewchuk J. R.: Interpolating and approximating implicit surfaces from polygon soup. ACM Transactions on Graphics 23 (Aug. 2004), 896-904.
– reference: [YT02]  Yngve G., Turk G.: Robust creation of implicit surfaces from polygonal meshes. IEEE Transactions on Visualization and Computer Graphics 8 (October 2002), 346-359.
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Snippet Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C1 discontinuities causing creases to...
Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C 1 discontinuities causing creases to...
Signed distance fields obtained from polygonal meshes are commonly used in various applications. However, they can have C super(1) discontinuities causing...
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StartPage 277
SubjectTerms Analysis
Approximation
Blending
distance function
Filtering
Filtration
Finite element method
geometric modelling
I.3.5 [Computer Graphics]: Computational Geometry and Object Modelling-Geometric algorithms
Image processing systems
implicit surfaces
languages and systems
Mathematical analysis
Mathematical models
polygonal modelling
Preserving
signed distance fields
Studies
Topological manifolds
Title Convolution Filtering of Continuous Signed Distance Fields for Polygonal Meshes
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Volume 34
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