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High Accuracy and Visibility-Consistent Dense Multiview Stereo
Open accessAbstract
Since the initial comparison of Seitz et al., the accuracy of dense multiview stereovision methods has been increasing steadily. A number of limitations, however, make most of these methods not suitable to outdoor scenes taken under uncontrolled imaging conditions. The present work consists of a complete dense multiview stereo pipeline which circumvents these limitations, being able to handle large-scale scenes without sacrificing accuracy. Highly detailed reconstructions are produced within very reasonable time thanks to two key stages in our pipeline: a minimum s-t cut optimization over an adaptive domain that robustly and efficiently filters a quasidense point cloud from outliers and reconstructs an initial surface by integrating visibility constraints, followed by a mesh-based variational refinement that captures small details, smartly handling photo-consistency, regularization, and adaptive resolution. The pipeline has been tested over a wide range of scenes: from classic compact objects taken in a laboratory setting, to outdoor architectural scenes, landscapes, and cultural heritage sites. The accuracy of its reconstructions has also been measured on the dense multiview benchmark proposed by Strecha et al., showing the results to compare more than favorably with the current state-of-the-art methods.
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Cites
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
Multidimensional binary search trees used for associative searching
Bentley, J. L. (1975) · Communications of the ACM · doi:10.1145/361002.361007 · Cited by 7,520
An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
Boykov, Y., & Kolmogorov, V. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.60 · Cited by 4,577
Ford, D. R., & Fulkerson, D. R. (1962) · Cited by 4,072
Accurate, Dense, and Robust Multiview Stereopsis
Furukawa, Y., & Ponce, J. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.161 · Cited by 3,019
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
Seitz, S. M., Curless, B., Diebel, J., Scharstein, D., & Szeliski, R. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06) · doi:10.1109/cvpr.2006.19 · Cited by 2,457
Modeling the World from Internet Photo Collections
Snavely, N., Seitz, S. M., & Szeliski, R. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0107-3 · Cited by 2,155
Poisson Surface Reconstruction
Kazhdan, M. M., Bolitho, M., & Hoppe, H. (2006) · doi:10.2312/sgp/sgp06/061-070 · Cited by 2,125
A signal processing approach to fair surface design
Taubin, G. (1995) · Proceedings of the 22nd annual conference on Computer graphics and interactive techniques - SIGGRAPH '95 · doi:10.1145/218380.218473 · Cited by 1,855
The visual hull concept for silhouette-based image understanding
Laurentini, A. (1994) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.273735 · Cited by 1,450
A Theory of Shape by Space Carving
Kutulakos, K. N., & Seitz, S. M. (2000) · International Journal of Computer Vision · doi:10.1023/a:1008191222954 · Cited by 1,254
Agarwal, S., Snavely, N., Simon, I., Seitz, S. M., & Szeliski, R. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459148 · Cited by 1,067
On benchmarking camera calibration and multi-view stereo for high resolution imagery
Strecha, C., von Hansen, W., Van Gool, L., Fua, P., & Thoennessen, U. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587706 · Cited by 814
Towards Internet-scale multi-view stereo
Furukawa, Y., Curless, B., Seitz, S. M., & Szeliski, R. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539802 · Cited by 751
Multi-camera Scene Reconstruction via Graph Cuts
Kolmogorov, V., & Zabih, R. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-47977-5_6 · Cited by 739
Multi-View Stereo for Community Photo Collections
Goesele, M., Snavely, N., Curless, B., Hoppe, H., & Seitz, S. M. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4408933 · Cited by 717
Accurate, Dense, and Robust Multi-View Stereopsis
Furukawa, Y., & Ponce, J. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.383246 · Cited by 692
Interactive multi-resolution modeling on arbitrary meshes
Kobbelt, L., Campagna, S., Vorsatz, J., & Seidel, H.-P. (1998) · Proceedings of the 25th annual conference on Computer graphics and interactive techniques - SIGGRAPH '98 · doi:10.1145/280814.280831 · Cited by 655
Building Rome on a Cloudless Day
Frahm, J.-M., Fite-Georgel, P., Gallup, D., Johnson, T., Raguram, R., Wu, C., Jen, Y.-H., Dunn, E., Clipp, B., Lazebnik, S., et al. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15561-1_27 · Cited by 563
Photorealistic Scene Reconstruction by Voxel Coloring
Seitz, S. M., & Dyer, C. R. (1999) · International Journal of Computer Vision · doi:10.1023/a:1008176507526 · Cited by 492
Silhouette and stereo fusion for 3D object modeling
Hernández Esteban, C., & Schmitt, F. (2004) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2004.03.016 · Cited by 435
A quasi-dense approach to surface reconstruction from uncalibrated images
Lhuillier, M., & Quan, L. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.44 · Cited by 432
Variational principles, surface evolution, PDEs, level set methods, and the stereo problem
Faugeras, O., & Keriven, R. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.661183 · Cited by 424
Self-citationUsing Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo
Campbell, N. D. F., Vogiatzis, G., Hernández, C., & Cipolla, R. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-88682-2_58 · Cited by 390
Real-Time Visibility-Based Fusion of Depth Maps
Merrell, P., Akbarzadeh, A., Wang, L., Mordohai, P., Frahm, J.-M., Yang, R., Nister, D., & Pollefeys, M. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4408984 · Cited by 358
Goesele, M., Curless, B., & Seitz, S. M. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) · doi:10.1109/cvpr.2006.199 · Cited by 308
Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency
Vogiatzis, G., Hernandez Esteban, C., Torr, P. H. S., & Cipolla, R. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.70712 · Cited by 284
Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score
Pons, J.-P., Keriven, R., & Faugeras, O. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-8671-5 · Cited by 279
Self-citationMulti-View Stereo via Volumetric Graph-Cuts
Vogiatzis, G., Torr, P. H. S., & Cipolla, R. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.238 · Cited by 275
Skeletal graphs for efficient structure from motion
Snavely, N., Seitz, S. M., & Szeliski, R. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587678 · Cited by 271
Towards high-resolution large-scale multi-view stereo
Hiep, V. H., Keriven, R., Labatut, P., & Pons, J.-P. (2009) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvprw.2009.5206617 · Cited by 228
Self-citationA probabilistic framework for space carving
Broadhurst, A., Drummond, T. W., & Cipolla, R. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937544 · Cited by 225
A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration
Zach, C., Pock, T., & Bischof, H. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4408983 · Cited by 220
Boissonnat, J., Devillers, O., Pion, S., Teillaud, M., & Yvinec, M. (2002) · Computational Geometry · doi:10.1016/s0925-7721(01)00054-2 · Cited by 213
Labatut, P., Pons, J.-P., & Keriven, R. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4408892 · Cited by 209
Self-citationCombined Depth and Outlier Estimation in Multi-View Stereo
Strecha, C., Fransens, R., & Van Gool, L. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) · doi:10.1109/cvpr.2006.78 · Cited by 180
Accurate multi-view reconstruction using robust binocular stereo and surface meshing
Bradley, D., Boubekeur, T., & Heidrich, W. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587792 · Cited by 169
Delaunay Triangulation Based Surface Reconstruction
Cazals, F., & Giesen, J. (2006) · Effective Computational Geometry for Curves and Surfaces · doi:10.1007/978-3-540-33259-6_6 · Cited by 158
Dense matching of multiple wide-baseline views
Strecha, Tuytelaars, T., & Gool, V. (2003) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238627 · Cited by 155
Multi-View Stereo via Graph Cuts on the Dual of an Adaptive Tetrahedral Mesh
Sinha, S. N., Mordohai, P., & Pollefeys, M. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408997 · Cited by 152
Continuous Global Optimization in Multiview 3D Reconstruction
Kolev, K., Klodt, M., Brox, T., & Cremers, D. (2009) · International Journal of Computer Vision · doi:10.1007/s11263-009-0233-1 · Cited by 148
Multi-View Stereo Reconstruction of Dense Shape and Complex Appearance
Jin, H., Soatto, S., & Yezzi, A. J. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-6876-7 · Cited by 137
Sinha, S. N., & Pollefeys, M. (2005) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2005.159 · Cited by 135
Global Optimization for Shape Fitting
Lempitsky, V., & Boykov, Y. Y. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383293 · Cited by 135
Wide-baseline stereo from multiple views: a probabilistic account
Strecha, C., Fransens, R., & Gool, L. V. (2004) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2004.1315080 · Cited by 132
TransforMesh : A Topology-Adaptive Mesh-Based Approach to Surface Evolution
Zaharescu, A., Boyer, E., & Horaud, R. (2007) · Springer eBooks · doi:10.1007/978-3-540-76390-1_17 · Cited by 113
Carved Visual Hulls for Image-Based Modeling
Furukawa, Y., & Ponce, J. (2006) · Lecture notes in computer science · doi:10.1007/11744023_44 · Cited by 106
Probabilistic visibility for multi-view stereo
Hernandez, C., Vogiatzis, G., & Cipolla, R. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383193 · Cited by 98
Hornung, A., & Kobbelt, L. P. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.135 · Cited by 97
Bayesian 3D Modeling from Images Using Multiple Depth Maps
Gargallo, P., & Sturm, P. F. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.84 · Cited by 96
Dense 3D motion capture from synchronized video streams
Furukawa, Y., & Ponce, J. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587495 · Cited by 94
Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces
Duan, Y., Liu, Y., Qin, H., & Samaras, D. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24672-5_19 · Cited by 91
3D Surface Reconstruction Using Graph Cuts with Surface Constraints
Son, T. T., & Davis, L. S. (2006) · Lecture notes in computer science · doi:10.1007/11744047_17 · Cited by 78
Banno, A., Masuda, T., Oishi, T., & Ikeuchi, K. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-007-0104-6 · Cited by 78
Yang, R., Pollefeys, M., & Welch, G. (2003) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238399 · Cited by 73
Generalized Surface Flows for Mesh Processing
Eckstein, I., Pons, J.-P., Tong, Y., Kuo, C.-C. J., & Desbrun, M. (2007) · doi:10.2312/sgp/sgp07/183-192 · Cited by 66
Self-citationTriangulations in CGAL (extended abstract)
Boissonnat, J., Devillers, O., Teillaud, M., & Yvinec, M. (2000) · Annual Symposium on Computational Geometry (SoCG) · doi:10.1145/336154.336165 · Cited by 64
Minimizing the Multi-view Stereo Reprojection Error for Triangular Surface Meshes
Delaunoy, A., Prados, E., Gargallo, P., Pons, J.-P., & Sturm, P. F. (2008) · British Machine Vision Conference (BMVC) · doi:10.5244/c.22.58 · Cited by 60
Self-citationOriented Visibility for Multiview Reconstruction
Lempitsky, V., Boykov, Y. Y., & Иванов, Д. В. (2006) · Lecture notes in computer science · doi:10.1007/11744078_18 · Cited by 57
Jančošek, M., Shekhovtsov, A., & Pajdla, T. (2009) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2009.5457432 · Cited by 45
Refinement of Surface Mesh for Accurate Multi-View Reconstruction
ek, R. T., & Šára, R. (2010) · International Journal of Virtual Reality · doi:10.20870/ijvr.2010.9.1.2761 · Cited by 36
From Photohulls to Photoflux Optimization
Boykov, Y. Y., & Lempitsky, V. (2006) · British Machine Vision Conference (BMVC) · doi:10.5244/c.20.117 · Cited by 35
Hierarchical shape-based surface reconstruction for dense multi-view stereo
Labatut, P., Pons, J.-P., & Keriven, R. (2009) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2009.5457421 · Cited by 23
Self-citationFord, L. R., & Fulkerson, D. R. (2024) · Princeton University Press eBooks · doi:10.1515/9780691273457 · Cited by 18
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Tyleček, R., & Šára, R. (2009) · Cited by 17
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Metadata
- Authors
- Vu, H.-H., Labatut, P., Pons, J.-P., & Keriven, R.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2012-05
- Volume
- 34
- Issue
- 5
- Pages
- 889-901
- ISSN
- 0162-8828 (ISSN-L)
- 2160-9292
- OpenAlex
- W2165306775
- Cited by
- 284
- References
- 65
- FWCI
- 11.39
- Type
- journal article
- Language
- en
- Open access
- green
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