[Paper] Tracked QEM Algorithm: Adding Temporal Consistency to Dynamic Mesh Simplification Based on Mesh Registration
The evolution of 3D multi-media technology has spurred the need for more effective 3D video storage and transmission methods. Most of the current standardizing 3D volumetric video coding methods in the mesh decimation stage are still limited: the difference of geometric structure in each simplified...
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| Published in | ITE TRANSACTIONS ON MEDIA TECHNOLOGY AND APPLICATIONS Vol. 12; no. 3; pp. 175 - 189 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
The Institute of Image Information and Television Engineers
2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2186-7364 2186-7364 |
| DOI | 10.3169/mta.12.175 |
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| Abstract | The evolution of 3D multi-media technology has spurred the need for more effective 3D video storage and transmission methods. Most of the current standardizing 3D volumetric video coding methods in the mesh decimation stage are still limited: the difference of geometric structure in each simplified frame hinders optimal compression. The proposed Tracked QEM Algorithm effectively tracks mesh models across successive frames, offering a tailored solution for dynamic meshes in 3D volumetric videos.The Tracked QEM Algorithm ensures that the simplified results have better topological consistency and spatial smoothness between consecutive frames than the original QEM algorithm. The evaluation results based on temporal consistency show that the proposed approach is superior to the conventional mesh simplification. The smoother simplified results with similar topology delineate the discontinuous structural information between frames. As a novel pre-processing approach to 3D video compression, this proposal has the potential to improve the compression rate. |
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| AbstractList | The evolution of 3D multi-media technology has spurred the need for more effective 3D video storage and transmission methods. Most of the current standardizing 3D volumetric video coding methods in the mesh decimation stage are still limited: the difference of geometric structure in each simplified frame hinders optimal compression. The proposed Tracked QEM Algorithm effectively tracks mesh models across successive frames, offering a tailored solution for dynamic meshes in 3D volumetric videos.The Tracked QEM Algorithm ensures that the simplified results have better topological consistency and spatial smoothness between consecutive frames than the original QEM algorithm. The evaluation results based on temporal consistency show that the proposed approach is superior to the conventional mesh simplification. The smoother simplified results with similar topology delineate the discontinuous structural information between frames. As a novel pre-processing approach to 3D video compression, this proposal has the potential to improve the compression rate. |
| Author | Xu, Jianfeng Liu, Yunlong Watanabe, Hiroshi Kawamura, Kei |
| Author_xml | – sequence: 1 fullname: Xu, Jianfeng organization: KDDI Research, Inc – sequence: 1 fullname: Kawamura, Kei organization: KDDI Research, Inc – sequence: 1 fullname: Liu, Yunlong organization: Graduate School of Fundamental Science and Engineering, Waseda University – sequence: 1 fullname: Watanabe, Hiroshi organization: Graduate School of Fundamental Science and Engineering, Waseda University |
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| Cites_doi | 10.1016/B978-0-32-391755-1.00021-3 10.1109/IM.2001.924423 10.1109/CVPR.2012.6247673 10.1007/s00371-016-1242-z 10.3233/ICA-200641 10.1111/j.1467-8659.2011.01884.x 10.1145/344779.344922 10.1109/TSP.2014.2388434 10.1145/1399504.1360684 10.1007/s11263-006-5167-2 10.1016/S0925-7721(99)00030-9 10.1109/CVPR.2007.383165 10.1016/S1077-3142(03)00009-2 10.1145/1061347.1061350 10.1145/258734.258843 10.1007/s00371-014-1039-x 10.1145/2693443 10.1145/166117.166119 10.1109/VISUAL.1997.663883 10.1145/1230100.1230128 10.1109/JETCAS.2019.2898948 10.1109/TVCG.2012.310 10.1006/cviu.2002.0978 10.1145/2692160 10.1016/j.isprsjprs.2022.12.023 10.1109/EUVIP53989.2022.9922888 10.1038/s41377-021-00658-8 10.1145/237170.237216 10.1145/258734.258849 10.1145/133994.134010 10.1109/79.618010 10.1080/03610927708827533 10.1109/38.920624 10.1007/978-3-030-58948-6_4 10.1109/CVPR.2008.4587794 10.1109/ICTC55196.2022.9952734 10.1145/237170.237217 10.1109/JPROC.2021.3062590 10.1007/978-3-031-20086-1_34 10.1109/JSTSP.2020.2966864 10.1145/383259.383281 10.1016/j.imavis.2004.05.007 10.1109/GCCE59613.2023.10315285 10.1109/ICPR.2002.1047997 10.1016/j.imavis.2006.05.012 10.1145/1275808.1276478 10.1109/TPAMI.2010.46 10.1109/VISUAL.1999.809869 10.1109/2945.910820 10.1109/ICIP.2019.8803576 10.1109/IROS.2015.7353455 10.1109/CVPR52688.2022.00154 10.1111/1467-8659.1530067 10.1016/j.cviu.2004.03.012 10.1111/cgf.12178 10.1109/CVPR52688.2022.01803 10.1111/1467-8659.1530077 10.1016/S0097-8493(02)00121-8 10.1109/VISUAL.1996.568124 |
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| References | 10) M. Garland, P.S. Heckbert : “Surface simplification using quadric error metrics”, Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp.209-216 (1997 20) B. Bellekens, V. Spruyt, R. Berkvens, M. Weyn : “A survey of rigid 3d point cloud registration algorithms”, AMBIENT 2014: the Fourth International Conference on Ambient Computing, Applications, Services and Technologies, August 24-28, 2014, Rome, Italy, pp.8-13 (2014 35) N. Gelfand, N.J. Mitra, L.J. Guibas, H. Pottmann : “Robust global registration”, Symposium on geometry processing, 2,3, pp.5 (2005 47) S.J. Kim, W.K. Jeong, C.H. Kim : “LOD generation with discrete curvature error metric”, Proceedings of Korea Israel Bi-National Conference, pp.97-104 (1999 12) I. Viola, P. Cesar : “Chapter 15 - Volumetric video streaming: Current approaches and implementations”, Immersive Video Technologies, Academic Press, pp.425-443 (2023 65) G. Pavlakos, J. Malik, A. Kanazawa : “Human mesh recovery from multiple shots”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.1485-1495 (2022 1) C. Ziker, B. Truman, H. Dodds : “Cross reality (XR): Challenges and opportunities across the spectrum”, Innovative learning environments in STEM higher education: Opportunities, challenges, and looking forward, pp.55-77 (2021 46) W.J. Schroeder : “A topology modifying progressive decimation algorithm”, Proceedings. Visualization'97 (Cat. No. 97CB36155), pp.205-212 (1997 6) T. Sikora : “MPEG digital video-coding standards”, IEEE signal processing magazine, 14,5, pp.82-100 (1997 66) Y. Liu, J. Xu, K. Kawamura, H. Watanabe : “Measure The Difference between Frames: Reconsidering The Evaluation Method in Dynamic Mesh Simplification”, 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE), pp.372-375 (2023 41) M.-E. Algorri, F. Schmitt : “Mesh Simplification”, Computer Graphics Forum, 15,3, pp.77-86 (1996 27) J. Serafin, G. Grisetti : “NICP: Dense normal based point cloud registration”, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.742-749 (2015 59) H. Lee, M.-H. Kyung : “Parallel mesh simplification using embedded tree collapsing”, The Visual Computer, 32,6-8, pp.967-976 (2016 42) J.O. Talton : “A short survey of mesh simplification algorithms”, University of Illinois at Urbana-Champaign (2004 17) R. Sandhu, S. Dambreville, A. Tannenbaum : “Particle filtering for registration of 2D and 3D point sets with stochastic dynamics”, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8 (2008 30) H. Pottmann, Q.-X. Huang, Y.-L. Yang, S.-M. Hu : “Geometry and convergence analysis of algorithms for registration of 3D shapes”, International Journal of Computer Vision, 67, pp.277-296 (2006 4) M. Xu, C. Li, S. Zhang, P. Le Callet : “State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression”, IEEE Journal of Selected Topics in Signal Processing, 14,1, pp.5-26 (2020 45) R. Ronfard, J. Rossignac : “Full-range approximation of triangulated polyhedra.”, Computer graphics forum, 15,3, pp.67-76 (1996 67) A. Guezlec : “Meshsweeper: dynamic point-to-polygonal mesh distance and applications”, IEEE Transactions on visualization and computer graphics, 7,1, pp.47-61 (2001 28) O. van Kaick, H. Zhang, G. Hamarneh, D. Cohen-Or : “A Survey on Shape Correspondence”, Computer Graphics Forum, 30,6, pp.1681-1707 (2011 43) W.J. Schroeder, J.A. Zarge, W.E. Lorensen : “Decimation of triangle meshes”, Proceedings of the 19th annual conference on Computer graphics and interactive techniques, pp.65-70 (1992 49) P.S. Heckbert, M. Garland : “Optimal triangulation and quadric-based surface simplification”, Computational Geometry, 14,1-3, pp.49-65 (1999 9) Y. Choi, J.-B. Jeong, S. Lee, E.-S. Ryu : “Overview of the Video-based Dynamic Mesh Coding (V-DMC) Standard Work”, 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), pp.578-581 (2022 37) J. Ma, W. Qiu, J. Zhao, Y. Ma, A.L. Yuille, Z. Tu : “Robust L2E estimation of transformation for non-rigid registration”, IEEE Transactions on Signal Processing, 63,5, pp.1115-1129 (2015 39) P.W. Holland, R.E. Welsch : “Robust regression using iteratively reweighted least-squares”, Communications in Statistics-theory and Methods, 6,9, pp.813-827 (1977 34) H. Chui, A. Rangarajan : “A new point matching algorithm for non-rigid registration”, Computer Vision and Image Understanding, 89,2-3, pp.114-141 (2003 23) S. Bouaziz, A. Tagliasacchi, M. Pauly : “Sparse iterative closest point”, Computer graphics forum, 32,5, pp.113-123 (2013 52) H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, W. Stuetzle : “Mesh optimization”, Proceedings of the 20th Annual Conference on Computer Graphics and Interactive Techniques, pp.19-26 (1993 61) R.A. Potamias, G. Bouritsas, S. Zafeiriou : “Revisiting point cloud simplification: A learnable feature preserving approach”, Computer Vision-ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part II, pp.586-603 (2022 13) Y. Diez, F. Roure, X. Lladó, J. Salvi : “A qualitative review on 3D coarse registration methods”, ACM Computing Surveys (CSUR), 47,3, pp.1-36 (2015 53) H. Hoppe : “Progressive meshes”, Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, pp.99-108 (1996 8) K. Mammou, J. Kim, A.M. Tourapis, D. Podborski, D. Flynn : “Video and Subdivision based Mesh Coding”, 2022 10th European Workshop on Visual Information Processing (EUVIP), pp.1-6 (2022 54) H. Hoppe : “View-dependent refinement of progressive meshes”, Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp.189-198 (1997 22) D. Chetverikov, D. Stepanov, P. Krsek : “Robust Euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm”, Image and vision computing, 23,3, pp.299-309 (2005 3) O. Schreer, I. Feldmann, S. Renault, M. Zepp, M. Worchel, P. Eisert, P. Kauff : “Capture and 3D video processing of volumetric video”, 2019 IEEE International conference on image processing (ICIP), pp.4310-4314 (2019 18) D. Aiger, N.J. Mitra, D. Cohen-Or : “4-points congruent sets for robust pairwise surface registration”, ACM SIGGRAPH 2008 papers, pp.1-10 (2008 55) A. Khodakovsky, P. Schröder, W. Sweldens : “Progressive geometry compression”, Proceedings of the 27th annual conference on Computer graphics and interactive techniques, pp.271-278 (2000 15) M. Rodrigues, R. Fisher, Y. Liu : “Introduction: Special issue on registration and fusion of range images”, Computer Vision and Image Understanding, 87, pp.1-7 (2002 26) P.J. Besl, N.D. McKay : “Method for registration of 3-D shapes”, Sensor fusion IV: control paradigms and data structures, 1611, pp.586-606 (1992 31) B. Amberg, S. Romdhani, T. Vetter : “Optimal step nonrigid ICP algorithms for surface registration”, 2007 IEEE conference on computer vision and pattern recognition, pp.1-8 (2007 14) G.K.L. Tam, Z.-Q. Cheng, Y.-K. Lai, F.C. Langbein, Y. Liu, D. Marshall, R.R. Martin, X.-F. Sun, P.L. Rosin : “Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid”, IEEE Transactions on Visualization and Computer Graphics, 19,7, pp.1199-1217 (2013 62) R.A. Potamias, S. Ploumpis, S. Zafeiriou : “Neural mesh simplification”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.18583-18592 (2022 51) M. Garland, Y. Zhou : “Quadric-based simplification in any dimension”, ACM Transactions on Graphics (TOG), 24,2, pp.209-239 (2005 38) Y. Yao, B. Deng, W. Xu, J. Zhang : “Quasi-newton solver for robust non-rigid registration”, Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.7600-7609 (2020 64) T. Matsuyama, X. Wu, T. Takai, S. Nobuhara : “Real-time 3D shape reconstruction, dynamic 3D mesh deformation, and high fidelity visualization for 3D video”, Computer Vision and Image Understanding, 96,3, pp.393-434 (2004 40) D.P. Luebke : “A developer's survey of polygonal simplification algorithms”, IEEE Computer Graphics and Applications, 21,3, pp.24-35 (2001 19) A. Myronenko, X. Song : “Point set registration: Coherent point drift”, IEEE transactions on pattern analysis and machine intelligence, 32,12, pp.2262-2275 (2010 36) B. Jian, B.C. Vemuri : “A robust algorithm for point set registration using mixture of Gaussians”, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2, pp.1246-1251 (2005 60) Y. Liang, F. He, X. Zeng : “3D mesh simplification with feature preservation based on whale optimization algorithm and differential evolution”, Integrated Computer-Aided Engineering, 27,4, pp.417-435 (2020 48) R. Klein, G. Liebich, W. Straßer : “Mesh reduction with error control”, Proceedings of Seventh Annual IEEE Visualization'96, pp.311-318 (1996 63) H. Hoppe : “New quadric metric for simplifying meshes with appearance attributes”, Proceedings Visualization'99 (Cat. No. 99CB37067), pp.59-510 (1999 2) J. Xiong, E.-L. Hsiang, Z. He, T. Zhan, S.-T. Wu : “Augmented reality and virtual reality displays: emerging technologies and future perspectives”, Light: Science & Applications, 10,1, pp.216 (2021 5) M. Wien, J.M. Boyce, T. Stockhammer, W.-H. Peng : “Standardization status of immersive video coding”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 9,1, pp.5-17 (2019 16) J. Salvi, C. Matabosch, D. Fofi, J. Forest : “A review of recent range image registration methods with accuracy evaluation”, Image and Vision computing, 25,5, pp.578-596 (2007 7) J.M. Boyce, R. Doré, A. Dziembowski, J. Fleureau, J. Jung, B. Kroon, B. Salahieh, V.K.M. Vadakital, L. Yu : “MPEG immersive video coding standard”, Proceedings of the IEEE, 109,9, pp.1521-1536 (2021 32) H. Hontani, T. Matsuno, Y. Sawada : “Robust nonrigid ICP using outlier-sparsity regularization”, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.174-181 (2012 29) R.W. Sumner, J. Schmid, M. Pauly : “Embedded deformation fo 44 45 46 47 48 49 50 51 52 53 10 54 11 55 12 56 13 57 14 58 15 59 16 17 18 19 1 2 3 4 5 6 7 8 9 60 61 62 63 20 64 21 65 22 66 23 67 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
| References_xml | – reference: 1) C. Ziker, B. Truman, H. Dodds : “Cross reality (XR): Challenges and opportunities across the spectrum”, Innovative learning environments in STEM higher education: Opportunities, challenges, and looking forward, pp.55-77 (2021) – reference: 51) M. Garland, Y. Zhou : “Quadric-based simplification in any dimension”, ACM Transactions on Graphics (TOG), 24,2, pp.209-239 (2005) – reference: 60) Y. Liang, F. He, X. Zeng : “3D mesh simplification with feature preservation based on whale optimization algorithm and differential evolution”, Integrated Computer-Aided Engineering, 27,4, pp.417-435 (2020) – reference: 18) D. Aiger, N.J. Mitra, D. Cohen-Or : “4-points congruent sets for robust pairwise surface registration”, ACM SIGGRAPH 2008 papers, pp.1-10 (2008) – reference: 65) G. Pavlakos, J. Malik, A. Kanazawa : “Human mesh recovery from multiple shots”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.1485-1495 (2022) – reference: 49) P.S. Heckbert, M. Garland : “Optimal triangulation and quadric-based surface simplification”, Computational Geometry, 14,1-3, pp.49-65 (1999) – reference: 9) Y. Choi, J.-B. Jeong, S. Lee, E.-S. Ryu : “Overview of the Video-based Dynamic Mesh Coding (V-DMC) Standard Work”, 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), pp.578-581 (2022) – reference: 17) R. Sandhu, S. Dambreville, A. Tannenbaum : “Particle filtering for registration of 2D and 3D point sets with stochastic dynamics”, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8 (2008) – reference: 33) S. Monji-Azad, J. Hesser, N. Löw : “A review of non-rigid transformations and learning-based 3D point cloud registration methods”, ISPRS Journal of Photogrammetry and Remote Sensing, 196, pp.58-72 (2023) – reference: 66) Y. Liu, J. Xu, K. Kawamura, H. Watanabe : “Measure The Difference between Frames: Reconsidering The Evaluation Method in Dynamic Mesh Simplification”, 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE), pp.372-375 (2023) – reference: 5) M. Wien, J.M. Boyce, T. Stockhammer, W.-H. Peng : “Standardization status of immersive video coding”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 9,1, pp.5-17 (2019) – reference: 22) D. Chetverikov, D. Stepanov, P. Krsek : “Robust Euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm”, Image and vision computing, 23,3, pp.299-309 (2005) – reference: 30) H. Pottmann, Q.-X. Huang, Y.-L. Yang, S.-M. Hu : “Geometry and convergence analysis of algorithms for registration of 3D shapes”, International Journal of Computer Vision, 67, pp.277-296 (2006) – reference: 40) D.P. Luebke : “A developer's survey of polygonal simplification algorithms”, IEEE Computer Graphics and Applications, 21,3, pp.24-35 (2001) – reference: 53) H. Hoppe : “Progressive meshes”, Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, pp.99-108 (1996) – reference: 37) J. Ma, W. Qiu, J. Zhao, Y. Ma, A.L. Yuille, Z. Tu : “Robust L2E estimation of transformation for non-rigid registration”, IEEE Transactions on Signal Processing, 63,5, pp.1115-1129 (2015) – reference: 38) Y. Yao, B. Deng, W. Xu, J. Zhang : “Quasi-newton solver for robust non-rigid registration”, Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.7600-7609 (2020) – reference: 39) P.W. Holland, R.E. Welsch : “Robust regression using iteratively reweighted least-squares”, Communications in Statistics-theory and Methods, 6,9, pp.813-827 (1977) – reference: 16) J. Salvi, C. Matabosch, D. Fofi, J. Forest : “A review of recent range image registration methods with accuracy evaluation”, Image and Vision computing, 25,5, pp.578-596 (2007) – reference: 13) Y. Diez, F. Roure, X. Lladó, J. Salvi : “A qualitative review on 3D coarse registration methods”, ACM Computing Surveys (CSUR), 47,3, pp.1-36 (2015) – reference: 12) I. Viola, P. Cesar : “Chapter 15 - Volumetric video streaming: Current approaches and implementations”, Immersive Video Technologies, Academic Press, pp.425-443 (2023) – reference: 59) H. Lee, M.-H. Kyung : “Parallel mesh simplification using embedded tree collapsing”, The Visual Computer, 32,6-8, pp.967-976 (2016) – reference: 28) O. van Kaick, H. Zhang, G. Hamarneh, D. Cohen-Or : “A Survey on Shape Correspondence”, Computer Graphics Forum, 30,6, pp.1681-1707 (2011) – reference: 57) C. DeCoro, N. Tatarchuk : “Real-time mesh simplification using the GPU”, Proceedings of the 2007 symposium on Interactive 3D graphics and games, pp.161-166 (2007) – reference: 24) J. Zhang, Y. Yao, B. Deng : “Fast and robust iterative closest point”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44,7, pp.3450-3466 (2021) – reference: 29) R.W. Sumner, J. Schmid, M. Pauly : “Embedded deformation for shape manipulation”, ACM SIGGRAPH 2007 Papers, pp.80-es (2007) – reference: 35) N. Gelfand, N.J. Mitra, L.J. Guibas, H. Pottmann : “Robust global registration”, Symposium on geometry processing, 2,3, pp.5 (2005) – reference: 41) M.-E. Algorri, F. Schmitt : “Mesh Simplification”, Computer Graphics Forum, 15,3, pp.77-86 (1996) – reference: 15) M. Rodrigues, R. Fisher, Y. Liu : “Introduction: Special issue on registration and fusion of range images”, Computer Vision and Image Understanding, 87, pp.1-7 (2002) – reference: 11) A. Maglo, G. Lavoué, F. Dupont, C. Hudelot : “3d mesh compression: Survey, comparisons, and emerging trends”, ACM Computing Surveys (CSUR), 47,3, pp.1-41 (2015) – reference: 54) H. Hoppe : “View-dependent refinement of progressive meshes”, Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp.189-198 (1997) – reference: 63) H. Hoppe : “New quadric metric for simplifying meshes with appearance attributes”, Proceedings Visualization'99 (Cat. No. 99CB37067), pp.59-510 (1999) – reference: 32) H. Hontani, T. Matsuno, Y. Sawada : “Robust nonrigid ICP using outlier-sparsity regularization”, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.174-181 (2012) – reference: 2) J. Xiong, E.-L. Hsiang, Z. He, T. Zhan, S.-T. Wu : “Augmented reality and virtual reality displays: emerging technologies and future perspectives”, Light: Science & Applications, 10,1, pp.216 (2021) – reference: 23) S. Bouaziz, A. Tagliasacchi, M. Pauly : “Sparse iterative closest point”, Computer graphics forum, 32,5, pp.113-123 (2013) – reference: 45) R. Ronfard, J. Rossignac : “Full-range approximation of triangulated polyhedra.”, Computer graphics forum, 15,3, pp.67-76 (1996) – reference: 14) G.K.L. Tam, Z.-Q. Cheng, Y.-K. Lai, F.C. Langbein, Y. Liu, D. Marshall, R.R. Martin, X.-F. Sun, P.L. Rosin : “Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid”, IEEE Transactions on Visualization and Computer Graphics, 19,7, pp.1199-1217 (2013) – reference: 43) W.J. Schroeder, J.A. Zarge, W.E. Lorensen : “Decimation of triangle meshes”, Proceedings of the 19th annual conference on Computer graphics and interactive techniques, pp.65-70 (1992) – reference: 8) K. Mammou, J. Kim, A.M. Tourapis, D. Podborski, D. Flynn : “Video and Subdivision based Mesh Coding”, 2022 10th European Workshop on Visual Information Processing (EUVIP), pp.1-6 (2022) – reference: 50) S.-J. Kim, C.-H. Kim, D. Levin : “Surface simplification using a discrete curvature norm”, Computers & Graphics, 26,5, pp.657-663 (2002) – reference: 4) M. Xu, C. Li, S. Zhang, P. Le Callet : “State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression”, IEEE Journal of Selected Topics in Signal Processing, 14,1, pp.5-26 (2020) – reference: 67) A. Guezlec : “Meshsweeper: dynamic point-to-polygonal mesh distance and applications”, IEEE Transactions on visualization and computer graphics, 7,1, pp.47-61 (2001) – reference: 31) B. Amberg, S. Romdhani, T. Vetter : “Optimal step nonrigid ICP algorithms for surface registration”, 2007 IEEE conference on computer vision and pattern recognition, pp.1-8 (2007) – reference: 20) B. Bellekens, V. Spruyt, R. Berkvens, M. Weyn : “A survey of rigid 3d point cloud registration algorithms”, AMBIENT 2014: the Fourth International Conference on Ambient Computing, Applications, Services and Technologies, August 24-28, 2014, Rome, Italy, pp.8-13 (2014) – reference: 36) B. Jian, B.C. Vemuri : “A robust algorithm for point set registration using mixture of Gaussians”, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2, pp.1246-1251 (2005) – reference: 47) S.J. Kim, W.K. Jeong, C.H. Kim : “LOD generation with discrete curvature error metric”, Proceedings of Korea Israel Bi-National Conference, pp.97-104 (1999) – reference: 62) R.A. Potamias, S. Ploumpis, S. Zafeiriou : “Neural mesh simplification”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.18583-18592 (2022) – reference: 21) D. Chetverikov, D. Svirko, D. Stepanov, P. Krsek : “The trimmed iterative closest point algorithm”, 2002 International Conference on Pattern Recognition, 3, pp.545-548 (2002) – reference: 42) J.O. Talton : “A short survey of mesh simplification algorithms”, University of Illinois at Urbana-Champaign (2004) – reference: 52) H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, W. Stuetzle : “Mesh optimization”, Proceedings of the 20th Annual Conference on Computer Graphics and Interactive Techniques, pp.19-26 (1993) – reference: 7) J.M. Boyce, R. Doré, A. Dziembowski, J. Fleureau, J. Jung, B. Kroon, B. Salahieh, V.K.M. Vadakital, L. Yu : “MPEG immersive video coding standard”, Proceedings of the IEEE, 109,9, pp.1521-1536 (2021) – reference: 10) M. Garland, P.S. Heckbert : “Surface simplification using quadric error metrics”, Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp.209-216 (1997) – reference: 25) S. Rusinkiewicz, M. Levoy : “Efficient variants of the ICP algorithm”, Proceedings third international conference on 3-D digital imaging and modeling, pp.145-152 (2001) – reference: 27) J. Serafin, G. Grisetti : “NICP: Dense normal based point cloud registration”, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.742-749 (2015) – reference: 44) P. Lindstrom, D. Koller, W. Ribarsky, L.F. Hodges, N. Faust, G.A. Turner : “Real-time, continuous level of detail rendering of height fields”, Proceedings of the 23rd annual conference on Computer graphics and interactive techniques, pp.109-118 (1996) – reference: 56) P. Alliez, M. Desbrun : “Progressive compression for lossless transmission of triangle meshes”, Proceedings of the 28th annual conference on Computer graphics and interactive techniques, pp.195-202 (2001) – reference: 61) R.A. Potamias, G. Bouritsas, S. Zafeiriou : “Revisiting point cloud simplification: A learnable feature preserving approach”, Computer Vision-ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part II, pp.586-603 (2022) – reference: 48) R. Klein, G. Liebich, W. Straßer : “Mesh reduction with error control”, Proceedings of Seventh Annual IEEE Visualization'96, pp.311-318 (1996) – reference: 46) W.J. Schroeder : “A topology modifying progressive decimation algorithm”, Proceedings. Visualization'97 (Cat. No. 97CB36155), pp.205-212 (1997) – reference: 58) A. Papageorgiou, N. Platis : “Triangular mesh simplification on the GPU”, The Visual Computer, 31, pp.235-244 (2015) – reference: 19) A. Myronenko, X. Song : “Point set registration: Coherent point drift”, IEEE transactions on pattern analysis and machine intelligence, 32,12, pp.2262-2275 (2010) – reference: 64) T. Matsuyama, X. Wu, T. Takai, S. Nobuhara : “Real-time 3D shape reconstruction, dynamic 3D mesh deformation, and high fidelity visualization for 3D video”, Computer Vision and Image Understanding, 96,3, pp.393-434 (2004) – reference: 55) A. Khodakovsky, P. Schröder, W. Sweldens : “Progressive geometry compression”, Proceedings of the 27th annual conference on Computer graphics and interactive techniques, pp.271-278 (2000) – reference: 3) O. Schreer, I. Feldmann, S. Renault, M. Zepp, M. Worchel, P. Eisert, P. Kauff : “Capture and 3D video processing of volumetric video”, 2019 IEEE International conference on image processing (ICIP), pp.4310-4314 (2019) – reference: 6) T. Sikora : “MPEG digital video-coding standards”, IEEE signal processing magazine, 14,5, pp.82-100 (1997) – reference: 26) P.J. Besl, N.D. McKay : “Method for registration of 3-D shapes”, Sensor fusion IV: control paradigms and data structures, 1611, pp.586-606 (1992) – reference: 34) H. Chui, A. Rangarajan : “A new point matching algorithm for non-rigid registration”, Computer Vision and Image Understanding, 89,2-3, pp.114-141 (2003) – ident: 12 doi: 10.1016/B978-0-32-391755-1.00021-3 – ident: 25 doi: 10.1109/IM.2001.924423 – ident: 32 doi: 10.1109/CVPR.2012.6247673 – ident: 59 doi: 10.1007/s00371-016-1242-z – ident: 35 – ident: 60 doi: 10.3233/ICA-200641 – ident: 28 doi: 10.1111/j.1467-8659.2011.01884.x – ident: 55 doi: 10.1145/344779.344922 – ident: 37 doi: 10.1109/TSP.2014.2388434 – ident: 18 doi: 10.1145/1399504.1360684 – ident: 30 doi: 10.1007/s11263-006-5167-2 – ident: 49 doi: 10.1016/S0925-7721(99)00030-9 – ident: 31 doi: 10.1109/CVPR.2007.383165 – ident: 34 doi: 10.1016/S1077-3142(03)00009-2 – ident: 51 doi: 10.1145/1061347.1061350 – ident: 54 doi: 10.1145/258734.258843 – ident: 58 doi: 10.1007/s00371-014-1039-x – ident: 11 doi: 10.1145/2693443 – ident: 26 – ident: 52 doi: 10.1145/166117.166119 – ident: 46 doi: 10.1109/VISUAL.1997.663883 – ident: 57 doi: 10.1145/1230100.1230128 – ident: 5 doi: 10.1109/JETCAS.2019.2898948 – ident: 14 doi: 10.1109/TVCG.2012.310 – ident: 15 doi: 10.1006/cviu.2002.0978 – ident: 13 doi: 10.1145/2692160 – ident: 33 doi: 10.1016/j.isprsjprs.2022.12.023 – ident: 38 – ident: 8 doi: 10.1109/EUVIP53989.2022.9922888 – ident: 2 doi: 10.1038/s41377-021-00658-8 – ident: 53 doi: 10.1145/237170.237216 – ident: 10 doi: 10.1145/258734.258849 – ident: 43 doi: 10.1145/133994.134010 – ident: 6 doi: 10.1109/79.618010 – ident: 39 doi: 10.1080/03610927708827533 – ident: 40 doi: 10.1109/38.920624 – ident: 1 doi: 10.1007/978-3-030-58948-6_4 – ident: 17 doi: 10.1109/CVPR.2008.4587794 – ident: 9 doi: 10.1109/ICTC55196.2022.9952734 – ident: 44 doi: 10.1145/237170.237217 – ident: 7 doi: 10.1109/JPROC.2021.3062590 – ident: 61 doi: 10.1007/978-3-031-20086-1_34 – ident: 4 doi: 10.1109/JSTSP.2020.2966864 – ident: 56 doi: 10.1145/383259.383281 – ident: 22 doi: 10.1016/j.imavis.2004.05.007 – ident: 24 – ident: 66 doi: 10.1109/GCCE59613.2023.10315285 – ident: 21 doi: 10.1109/ICPR.2002.1047997 – ident: 47 – ident: 20 – ident: 16 doi: 10.1016/j.imavis.2006.05.012 – ident: 42 – ident: 29 doi: 10.1145/1275808.1276478 – ident: 19 doi: 10.1109/TPAMI.2010.46 – ident: 63 doi: 10.1109/VISUAL.1999.809869 – ident: 36 – ident: 67 doi: 10.1109/2945.910820 – ident: 3 doi: 10.1109/ICIP.2019.8803576 – ident: 27 doi: 10.1109/IROS.2015.7353455 – ident: 65 doi: 10.1109/CVPR52688.2022.00154 – ident: 45 doi: 10.1111/1467-8659.1530067 – ident: 64 doi: 10.1016/j.cviu.2004.03.012 – ident: 23 doi: 10.1111/cgf.12178 – ident: 62 doi: 10.1109/CVPR52688.2022.01803 – ident: 41 doi: 10.1111/1467-8659.1530077 – ident: 50 doi: 10.1016/S0097-8493(02)00121-8 – ident: 48 doi: 10.1109/VISUAL.1996.568124 |
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| SubjectTerms | Computer Graphic Mesh Registration Mesh Simplification Multi-media Technology QEM Algorithm Volumetric Video |
| Title | [Paper] Tracked QEM Algorithm: Adding Temporal Consistency to Dynamic Mesh Simplification Based on Mesh Registration |
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