Open Access
Issue |
MATEC Web of Conferences
Volume 54, 2016
2016 7th International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2016)
|
|
---|---|---|
Article Number | 08006 | |
Number of page(s) | 6 | |
Section | Image processing and visualization | |
DOI | https://doi.org/10.1051/matecconf/20165408006 | |
Published online | 22 April 2016 |
- N. Snavely, S.M. Seitz, R. Szeliski S. Modeling the world from internet photo collections. International Journal of Computer Vision 80(2) :189–210. (2008). [CrossRef] [Google Scholar]
- S. Agarwal, Y. Furukawa, N. Snavely, et al. Building rome in a day. Communications of the ACM 54(10). (2011). [Google Scholar]
- Y. Furukawa, and J. Ponce. Accurate, dense, and robust multiview stereopsis. Pattern Analysis and Machine Intelligence. 32(8) :1362–1376. (2010). [CrossRef] [Google Scholar]
- S.M. Seitz, B. Curless, et al. A comparison and evaluation of multi-view stereo reconstruction algorithms. Computer Vision and Pattern Recognition. Vol. 1 :519–528. (2006). [Google Scholar]
- M. Sormann, C. Zach, J. Bauer, et al. Watertight multi-view reconstruction based on volumetric graph-cuts. Image analysis. 393–402. (2007). [CrossRef] [Google Scholar]
- G Vogiatzis, et al. Multiview stereo via volumetric graph-cuts and occlusion robust photo-consistency. Pattern Analysis and Machine Intelligence, 29(12) :2241–2246. (2007). [CrossRef] [Google Scholar]
- C.H. Esteban, F. Schmitt. Silhouette and stereo fusion for 3D object modeling. Computer Vision and Image Understanding. 96(3) :367–392. (2004). [CrossRef] [Google Scholar]
- A. Zaharescu, E. Boyer, R. Horaud. Transformesh: a topology-adaptive mesh-based approach to surface evolution. Computer Vision-ACCV 166–175. (2007). [Google Scholar]
- C. Strecha, W. von Hansen, L. Van Gool, P. Fua, U. Thoennessen Combined depth and outlier estimation in multi-view stereo. Computer Vision and Pattern Recognition. Vol. 2 :2394–2401. (2006). [Google Scholar]
- Shen, Shuhan, and Z.Y. Hu. How to Select Good Neighboring Images in Depth-Map Merging Based 3D Modeling. Image Processing. 23(1). (2014). [Google Scholar]
- D. Bradley, T. Boubekeur, and W. Heidrich. Accurate multi-view reconstruction using robust binocular stereo and surface meshing. Computer Vision and Pattern Recognition. 1–8. (2008). [Google Scholar]
- R. Szeliski. A multi-view approach to motion and stereo. Computer Vision and Pattern Recognition. Vol. 1.(1999). [Google Scholar]
- C. Strecha, W. von Hansen, L. Van Gool. On benchmarking camera calibration and multi-view stereo for high resolution imagery. Computer Vision and Pattern Recognition. 1–8. (2008). [Google Scholar]
- V.H. Hiep, R. Keriven, P. Labatut. Towards high-resolution large-scale multi-view stereo. Computer Vision and Pattern Recognition. 1430–1437. (2009). [Google Scholar]
- M. Bleyer, C. Rother, P. Kohli. Object stereo-joint stereo matching and object segmentation. Computer Vision and Pattern Recognition. 3081–3088. (2011). [Google Scholar]
- J. Michal, and T. Pajdla. Multi-view reconstruction preserving weakly-supported surfaces. Computer Vision and Pattern Recognition. 3121–3128. (2011). [Google Scholar]
- Q Shan, B. Curless, Y. Furukawa, C. Hernandez, S.M. Seitz. Occluding contours for multi-view stereo. Computer Vision and Pattern Recognition. 4002–4009. (2014). [Google Scholar]
- L.M. Shi, F.S. Guo, Z.Y. Hu. An Improved PMVS through Scene Geometric Information. Acta Automatica Sinica, 37.5(2011). [Google Scholar]
- C. Wu. Towards linear-time incremental structure from motion. 3D Vision, 127–134. (2013). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.