A survey on Mesh Segmentation Techniques

We present a review of the state of the art of segmentation and partitioning techniques of boundary meshes. Recently, these have become a part of many mesh and object manipulation algorithms in computer graphics, geometric modelling and computer aided design. We formulate the segmentation problem as...

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Published in:Computer graphics forum Vol. 27; no. 6; pp. 1539 - 1556
Main Author: Shamir, Ariel
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.09.2008
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ISSN:0167-7055, 1467-8659
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Abstract We present a review of the state of the art of segmentation and partitioning techniques of boundary meshes. Recently, these have become a part of many mesh and object manipulation algorithms in computer graphics, geometric modelling and computer aided design. We formulate the segmentation problem as an optimization problem and identify two primarily distinct types of mesh segmentation, namely part segmentation and surface‐patch segmentation. We classify previous segmentation solutions according to the different segmentation goals, the optimization criteria and features used, and the various algorithmic techniques employed. We also present some generic algorithms for the major segmentation techniques.
AbstractList We present a review of the state of the art of segmentation and partitioning techniques of boundary meshes. Recently, these have become a part of many mesh and object manipulation algorithms in computer graphics, geometric modelling and computer aided design. We formulate the segmentation problem as an optimization problem and identify two primarily distinct types of mesh segmentation, namely part segmentation and surface‐patch segmentation. We classify previous segmentation solutions according to the different segmentation goals, the optimization criteria and features used, and the various algorithmic techniques employed. We also present some generic algorithms for the major segmentation techniques.
We present a review of the state of the art of segmentation and partitioning techniques of boundary meshes. Recently, these have become a part of many mesh and object manipulation algorithms in computer graphics, geometric modelling and computer aided design. We formulate the segmentation problem as an optimization problem and identify two primarily distinct types of mesh segmentation, namely part segmentation and surface-patch segmentation. We classify previous segmentation solutions according to the different segmentation goals, the optimization criteria and features used, and the various algorithmic techniques employed. We also present some generic algorithms for the major segmentation techniques. Submitted October 2006Revised May 2007Accepted September 2007.
We present a review of the state of the art of segmentation and partitioning techniques of boundary meshes. Recently, these have become a part of many mesh and object manipulation algorithms in computer graphics, geometric modelling and computer aided design. We formulate the segmentation problem as an optimization problem and identify two primarily distinct types of mesh segmentation, namely part segmentation and surface‐patch segmentation. We classify previous segmentation solutions according to the different segmentation goals, the optimization criteria and features used, and the various algorithmic techniques employed. We also present some generic algorithms for the major segmentation techniques.
We present a review of the state of the art of segmentation and partitioning techniques of boundary meshes. Recently, these have become a part of many mesh and object manipulation algorithms in computer graphics, geometric modelling and computer aided design. We formulate the segmentation problem as an optimization problem and identify two primarily distinct types of mesh segmentation, namely part segmentation and surface-patch segmentation. We classify previous segmentation solutions according to the different segmentation goals, the optimization criteria and features used, and the various algorithmic techniques employed. We also present some generic algorithms for the major segmentation techniques. [PUBLICATION ABSTRACT]
Author Shamir, Ariel
Author_xml – sequence: 1
  givenname: Ariel
  surname: Shamir
  fullname: Shamir, Ariel
  organization: Efi Arazi School of Computer Science, The Interdisciplinary Centre, Herzliya, Israel
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References_xml – reference: Comaniciu D., Meer P.: Mean shift: A robust approach towards feature space analysis. IEEE Trans. Pattern Analysis and Machine Intelligence 24 (May 2002), 603-619.
– reference: Sheffer A.: Model simplification for meshing using face clustering. Computer Aided Design 33 (2001), 925-934.
– reference: Cohen-Steiner D., Alliez P., Desbrun M.: Variational shape approximation. ACM Transactions on Graphics 23, 3 (2004), 905-914.
– reference: Kimmel R., Sethian J.: Fast marching methods on triangulated domains. Proceedings of the National Academy of Sciences 95 (1998), 8341-8435.
– reference: Li Y., Sun J., Tang C.-K., Shum H.-Y.: Lazy snapping. ACM Transactions on Graphics 23, 3 (2004), 303-308.
– reference: Lavoué G., Dupont F., Baskurt A.: New cad mesh segmentation method A, based on curvature tensor analysis. Computer Aided Design 37, 10 (2005), 975-987.
– reference: Hoffman D., Signh M.: Salience of visual parts. Cognition 63 (1997), 29-78.
– reference: Katz S., Leifman G., Tal A.: Mesh segmentation using feature point and core extraction. The Visual Computer (Proceedings of Pacific Graphics 2005) 21, 8-10 (2005), 865-875.
– reference: Liu R., Zhang R.: Mesh segmentation via spectral embedding and contour analysis. Computer Graphics Forum, Eurographics Proceedings to appear (2007).
– reference: Petitjean S.: A survey of methods for recovering quadrics in triangle meshes. ACM Computing Surveys 34, 2 (2002), 211-262.
– reference: Sharf A., Blumenkrants M., Shamir A., Cohen-Or D.: Snap-paste: An interactive technique for easy mesh composition. The Visual Computer (Proceedings of Pacific Graphics 2006) 22 (2006), 835-844.
– reference: Julius D., Kraevoy V., Sheffer A.: D-charts: Quasi-developable mesh segmentation. Computer Graphics Forum (Proceedings Eurographics 2005) 24, 3 (2005), 981-990.
– reference: Varady T., Martin R., Cox J.: Reverse engineering of geometric models-an introduction. Computer-Aided Design 29, 4 (1997), 255-268.
– reference: Arabie R., Hubert L., DeSoete G. (Eds.): Clustering and Classification. World Scientific Publishers, River Edge , NJ , 1996.
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– reference: Garey M., Johnson D., Stockmeyer L.: Some simplified np-complete graph problems. Theoretical Computer Science 1 (1976), 237-267.
– reference: Wu J., Kobbelt L.: Structure recovery via hybrid variational surface approximation. Computer Graphics Forum (Proceedings Eurographics 2005) 24, 3 (2005), 277-284.
– reference: Mitani J., Suzuki H.: Making papercraft toys from meshes using strip-based approximate unfolding. ACM Transaction on Graphics (Proceedings SIGGRAPH 2004) 23, 3 (2004), 259-263.
– reference: Inoue K., Takayuki I., Atsushi Y., Tomotake F., Kenji S.: Face clustering of a large-scale cad model for surface mesh generation. Computer Aided Design 33, 3 (March 2001). The 8th International Meshing Roundtable Special Issue: Advances in Mesh Generation.
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– reference: Shah J. J., Anderson D., Kim Y. S., Joshi S.: A discourse on geometric feature recognition from cad models. Journal of Computing and Infomations Science in Engineering 1, 1 (2001), 41-51.
– reference: Amenta N., Choi S., Kolluri R.: The power crust, unions of balls, and the medial axis transform. Computational Geometry: Theory and Applications 19, 2-3 (2001), 127-153.
– reference: Mortara M., Patanè G., Spagnuolo M.: From geometric to semantic human body models. Computers & Graphics 30, 2 (2006), 185-196.
– reference: Mortara M., Patanè G., Spagnuolo M., Falcidieno B., Rossignac J.: Blowing bubbles for multi-scale analysis and decomposition of triangle meshes. Algorithmica 38, 1 (2003), 227-248.
– reference: Zhang E., Mischaikow K., Turk G.: Feature-based surface parameterization and texture mapping. ACM Transaction on Graphics 24, 1 (2005), 1-27.
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– reference: Shatz I., Tal A., Leifman G.: Paper craft models from meshes. The Visual Computer (Proceedings of Pacific Graphics 2006) 22, 9-11 (2006), 825-834.
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Snippet We present a review of the state of the art of segmentation and partitioning techniques of boundary meshes. Recently, these have become a part of many mesh and...
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SubjectTerms 1.3.5 [Computing Methodologies]: Computer Graphics Computational Geometry and Object Modeling
Algorithms
CAD
clustering
Computer aided design
Computer graphics
Geometry
I.3.6 [Computing Methodologies]: Computer Graphics Methodology and Techniques
mesh partioning
mesh segmentation
Optimization
Studies
Title A survey on Mesh Segmentation Techniques
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