A Fast and Robust Protocol for Reconstruction and Re-Enactment of Historical Sites
This research proposes a novel reconstruction protocol
for restoring missing surfaces and low-quality edges and shapes in
photos of artifacts at historical sites. The protocol starts with the
extraction of a cloud of points. This extraction process is based on
four subordinate algorithms, which differ in the robustness and
amount of resultant. Moreover, they use different -but
complementary- accuracy to some related features and to the way
they build a quality mesh. The performance of our proposed protocol
is compared with other state-of-the-art algorithms and toolkits. The
statistical analysis shows that our algorithm significantly outperforms
its rivals in the resultant quality of its object files used to reconstruct
the desired model.
[1] J.C. Torres, G. Arroyo , C. Romo , J. De Haro, "3D Digitization using Structure from Motion" . CEIG - Spanish Computer Graphics Conference, 2012.
[2] R. Hartly, P. Sturm "Triangulation, Computer Vision and Image Understanding" Volume 68, Issue 2, November 1997, pp. 146–157.
[3] Jiang, X. Li, and G. Zhang, "SIFT Hardware Implementation for Real-Time Image Feature Extraction," Circuits and Systems for Video Technology, 2014.
[4] Mathias Rothermel, Konrad Wenzel, Dieter Fritsch, Norbert Haala, "SURE Photogrammetric surface reconstruction from imagery,” unpublished.
[5] F. Memoli, G. Sapiro, "Comparing point clouds", SGP '04 Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing.
[6] Cignoni, M. Callieri, M. Dellepiane, F. Ganovelli, G. Ranzuglia "MeshLab: an open-source mesh processing tool" Eurographics Italian Chapter Conference (2008).
[7] F. Bernardin, J. Mittleman, H. Rushmeier "The Ball-Pivoting Algorithm for Surface Reconstruction," IEEE Transaction on Visualization and Computer Graphics, Vol. 5, No.4, October-December1999.
[8] O. Chum, T. Werner, and J. Matas, "Epipolar geometry estimation via RANSAC benefits from the oriented epipolar constraint," in Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference, 2004, pp.112-115 Vol. 1.
[9] S. Holmes, G. Sibley, G. Klein, and D. W. Murray, "A relative frame representation for fixed-time bundle adjustment in SFM," in Robotics and Automation, 2009, pp. 2264-2269.
[10] T. Tung, S. Nobuhara, and T. Matsuyama, "Complete multi-view reconstruction of dynamic scenes from probabilistic fusion of narrow and wide baseline stereo," in Computer Vision, 2009 IEEE 12th International Conference (2009), pp. 1709-1716.
[11] S. Park, S. lee, J. Kim "A surface reconstruction algorithm using weighted alpha shapes" FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I, pp. 1141-1150.
[12] M. Tang, M. Lee, Y. Kim, "Interactive Hausdorff Distance Computation for General Polygonal Models" ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH 2009 Volume 28 Issue 3, August 2009 Article No. 74.
[1] J.C. Torres, G. Arroyo , C. Romo , J. De Haro, "3D Digitization using Structure from Motion" . CEIG - Spanish Computer Graphics Conference, 2012.
[2] R. Hartly, P. Sturm "Triangulation, Computer Vision and Image Understanding" Volume 68, Issue 2, November 1997, pp. 146–157.
[3] Jiang, X. Li, and G. Zhang, "SIFT Hardware Implementation for Real-Time Image Feature Extraction," Circuits and Systems for Video Technology, 2014.
[4] Mathias Rothermel, Konrad Wenzel, Dieter Fritsch, Norbert Haala, "SURE Photogrammetric surface reconstruction from imagery,” unpublished.
[5] F. Memoli, G. Sapiro, "Comparing point clouds", SGP '04 Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing.
[6] Cignoni, M. Callieri, M. Dellepiane, F. Ganovelli, G. Ranzuglia "MeshLab: an open-source mesh processing tool" Eurographics Italian Chapter Conference (2008).
[7] F. Bernardin, J. Mittleman, H. Rushmeier "The Ball-Pivoting Algorithm for Surface Reconstruction," IEEE Transaction on Visualization and Computer Graphics, Vol. 5, No.4, October-December1999.
[8] O. Chum, T. Werner, and J. Matas, "Epipolar geometry estimation via RANSAC benefits from the oriented epipolar constraint," in Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference, 2004, pp.112-115 Vol. 1.
[9] S. Holmes, G. Sibley, G. Klein, and D. W. Murray, "A relative frame representation for fixed-time bundle adjustment in SFM," in Robotics and Automation, 2009, pp. 2264-2269.
[10] T. Tung, S. Nobuhara, and T. Matsuyama, "Complete multi-view reconstruction of dynamic scenes from probabilistic fusion of narrow and wide baseline stereo," in Computer Vision, 2009 IEEE 12th International Conference (2009), pp. 1709-1716.
[11] S. Park, S. lee, J. Kim "A surface reconstruction algorithm using weighted alpha shapes" FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I, pp. 1141-1150.
[12] M. Tang, M. Lee, Y. Kim, "Interactive Hausdorff Distance Computation for General Polygonal Models" ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH 2009 Volume 28 Issue 3, August 2009 Article No. 74.
@article{"International Journal of Information, Control and Computer Sciences:68138", author = "S. I. Abu Alasal and M. M. Esbeih and E. R. Fayyad and R. S. Gharaibeh and M. Z. Ali and A. A. Freewan and M. M. Jamhawi", title = "A Fast and Robust Protocol for Reconstruction and Re-Enactment of Historical Sites", abstract = "This research proposes a novel reconstruction protocol
for restoring missing surfaces and low-quality edges and shapes in
photos of artifacts at historical sites. The protocol starts with the
extraction of a cloud of points. This extraction process is based on
four subordinate algorithms, which differ in the robustness and
amount of resultant. Moreover, they use different -but
complementary- accuracy to some related features and to the way
they build a quality mesh. The performance of our proposed protocol
is compared with other state-of-the-art algorithms and toolkits. The
statistical analysis shows that our algorithm significantly outperforms
its rivals in the resultant quality of its object files used to reconstruct
the desired model.
", keywords = "Meshes, Point Clouds, Surface Reconstruction
Protocols, 3D Reconstruction.", volume = "8", number = "10", pages = "1851-6", }
