Research Article
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Year 2022, Volume: 7 Issue: 2, 174 - 178, 10.07.2022
https://doi.org/10.26833/ijeg.947235

Abstract

Supporting Institution

Mersin Üniversitesi Bilimsel Araştırma Projeleri Birimi

Project Number

2015-TP3-1160

References

  • Crummey J M, Scott M L (1991). Algorithms for scalable synchronization on shared-memory multiprocessors. ACM Transactions on Computer Systems, 9(1), 21–65.
  • Demirci S, Kirik O, Ozdemir C (2020). Interpretation and Analysis of Target Scattering from Fully-Polarized ISAR Images Using Pauli Decomposition Scheme for Target Recognition. IEEE Access, 8, 155926-155938.
  • Griesser T, Balanis C A (1987). Backscatter analysis of dihedral corner reflectors using physical optics and the physical theory of diffraction. IEEE Transactions on Antennas and Propagation, 35(10), 1137-1147.
  • Griesser T, Balanis C A, Liu K (1989). RCS analysis and reduction for lossy dihedral corner reflectors. Proceedings of the IEEE, 77(5), 806-814.
  • Kim H S, Choi H K, Lee H K (2009). Feature detection of triangular meshes based on tensor voting theory. Computer-Aided Design, 41(1), 47-58.
  • Kirik O, Ozdemir C (2019). An Accurate and Effective Implementation of Physical Theory of Diffraction to The Shooting and Bouncing Ray Method via Predics Tool. Sigma Journal of Engineering and Natural Sciences, 4, 1153-1166.
  • Kuo Ct, Cheng Sc, Wu Dc, Chang Cc (2009). A Blind Robust Watermarking Scheme for 3D Triangular Mesh Models Using 3D Edge Vertex Detection. Asian Journal of Health and Information Sciences, 4(1), 36-63.
  • Possemiers A L, Lee I (2015). Fast OBJ file importing and parsing in CUDA. Computational Visual Media, 1, 229-238.
  • Pyotr Ya. Ufimtsev (2014) Fundamentals of the Physical Theory of Diffraction, Second Edition. John Wiley & Sons. ISBN: 9781118753668
  • Sun Y, Page D L, Paik J K, Koschan A, Abidi M A (2002). Triangle mesh-based edge detection and its application to surface segmentation and adaptive surface smoothing. International Conference on Image Processing, 825-828 vol.3, Newyork, USA.
  • Wang Xc, Cao Jj, Liu Xp. (2012). Feature detection of triangular meshes via neighbor supporting. Journal of Zhejiang University Science C, 13, 440–451.
  • Zhang X, Zhou M, Geng G (2003). A Method of Detecting the Edge of Triangular Mesh Surface. China Knowledge Network (CNKI) China Academic Journal.

Multithreaded wedge detection method on triangular 3D CAD objects using mesh traversal method

Year 2022, Volume: 7 Issue: 2, 174 - 178, 10.07.2022
https://doi.org/10.26833/ijeg.947235

Abstract

In this study, a multithreaded method for triangular mesh three-dimensional computer aided design objects is proposed to detect and extract wedges. Wedge detection is time consuming process for such objects that have large number of facets. To take the advantage of parallel computing opportunities, the algorithm is refactored in this study. Scope of variables, memory management and stack use are optimized for efficient use of computational resources. The proposed method is focused to calculation efficiency and performance on multicore / multithreaded processors and it is evaluated with benchmark, complex and realistic objects.

Project Number

2015-TP3-1160

References

  • Crummey J M, Scott M L (1991). Algorithms for scalable synchronization on shared-memory multiprocessors. ACM Transactions on Computer Systems, 9(1), 21–65.
  • Demirci S, Kirik O, Ozdemir C (2020). Interpretation and Analysis of Target Scattering from Fully-Polarized ISAR Images Using Pauli Decomposition Scheme for Target Recognition. IEEE Access, 8, 155926-155938.
  • Griesser T, Balanis C A (1987). Backscatter analysis of dihedral corner reflectors using physical optics and the physical theory of diffraction. IEEE Transactions on Antennas and Propagation, 35(10), 1137-1147.
  • Griesser T, Balanis C A, Liu K (1989). RCS analysis and reduction for lossy dihedral corner reflectors. Proceedings of the IEEE, 77(5), 806-814.
  • Kim H S, Choi H K, Lee H K (2009). Feature detection of triangular meshes based on tensor voting theory. Computer-Aided Design, 41(1), 47-58.
  • Kirik O, Ozdemir C (2019). An Accurate and Effective Implementation of Physical Theory of Diffraction to The Shooting and Bouncing Ray Method via Predics Tool. Sigma Journal of Engineering and Natural Sciences, 4, 1153-1166.
  • Kuo Ct, Cheng Sc, Wu Dc, Chang Cc (2009). A Blind Robust Watermarking Scheme for 3D Triangular Mesh Models Using 3D Edge Vertex Detection. Asian Journal of Health and Information Sciences, 4(1), 36-63.
  • Possemiers A L, Lee I (2015). Fast OBJ file importing and parsing in CUDA. Computational Visual Media, 1, 229-238.
  • Pyotr Ya. Ufimtsev (2014) Fundamentals of the Physical Theory of Diffraction, Second Edition. John Wiley & Sons. ISBN: 9781118753668
  • Sun Y, Page D L, Paik J K, Koschan A, Abidi M A (2002). Triangle mesh-based edge detection and its application to surface segmentation and adaptive surface smoothing. International Conference on Image Processing, 825-828 vol.3, Newyork, USA.
  • Wang Xc, Cao Jj, Liu Xp. (2012). Feature detection of triangular meshes via neighbor supporting. Journal of Zhejiang University Science C, 13, 440–451.
  • Zhang X, Zhou M, Geng G (2003). A Method of Detecting the Edge of Triangular Mesh Surface. China Knowledge Network (CNKI) China Academic Journal.
There are 12 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Özkan Kırık 0000-0002-6996-6239

Caner Özdemir 0000-0003-2615-4203

Project Number 2015-TP3-1160
Publication Date July 10, 2022
Published in Issue Year 2022 Volume: 7 Issue: 2

Cite

APA Kırık, Ö., & Özdemir, C. (2022). Multithreaded wedge detection method on triangular 3D CAD objects using mesh traversal method. International Journal of Engineering and Geosciences, 7(2), 174-178. https://doi.org/10.26833/ijeg.947235
AMA Kırık Ö, Özdemir C. Multithreaded wedge detection method on triangular 3D CAD objects using mesh traversal method. IJEG. July 2022;7(2):174-178. doi:10.26833/ijeg.947235
Chicago Kırık, Özkan, and Caner Özdemir. “Multithreaded Wedge Detection Method on Triangular 3D CAD Objects Using Mesh Traversal Method”. International Journal of Engineering and Geosciences 7, no. 2 (July 2022): 174-78. https://doi.org/10.26833/ijeg.947235.
EndNote Kırık Ö, Özdemir C (July 1, 2022) Multithreaded wedge detection method on triangular 3D CAD objects using mesh traversal method. International Journal of Engineering and Geosciences 7 2 174–178.
IEEE Ö. Kırık and C. Özdemir, “Multithreaded wedge detection method on triangular 3D CAD objects using mesh traversal method”, IJEG, vol. 7, no. 2, pp. 174–178, 2022, doi: 10.26833/ijeg.947235.
ISNAD Kırık, Özkan - Özdemir, Caner. “Multithreaded Wedge Detection Method on Triangular 3D CAD Objects Using Mesh Traversal Method”. International Journal of Engineering and Geosciences 7/2 (July 2022), 174-178. https://doi.org/10.26833/ijeg.947235.
JAMA Kırık Ö, Özdemir C. Multithreaded wedge detection method on triangular 3D CAD objects using mesh traversal method. IJEG. 2022;7:174–178.
MLA Kırık, Özkan and Caner Özdemir. “Multithreaded Wedge Detection Method on Triangular 3D CAD Objects Using Mesh Traversal Method”. International Journal of Engineering and Geosciences, vol. 7, no. 2, 2022, pp. 174-8, doi:10.26833/ijeg.947235.
Vancouver Kırık Ö, Özdemir C. Multithreaded wedge detection method on triangular 3D CAD objects using mesh traversal method. IJEG. 2022;7(2):174-8.