Efficient large-scale multi-view stereo for ultra high-resolution image sets
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[1] Jan-Michael Frahm,et al. Building Rome on a Cloudless Day , 2010, ECCV.
[2] Jean Ponce,et al. Accurate, Dense, and Robust Multiview Stereopsis , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Pascal Fua,et al. Dynamic and scalable large scale image reconstruction , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[4] Vincent Lepetit,et al. DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Mariette Yvinec,et al. Surface Reconstruction from Multi-View Stereo , 2009 .
[6] Tomás Pajdla,et al. Scalable multi-view stereo , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[7] Jean-Philippe Pons,et al. Towards high-resolution large-scale multi-view stereo , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Walter G. Kropatsch,et al. Depth Map Fusion with Camera Position Refinement , 2009 .
[9] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[10] Pascal Fua,et al. On benchmarking camera calibration and multi-view stereo for high resolution imagery , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Heiko Hirschmüller,et al. Stereo Processing by Semiglobal Matching and Mutual Information , 2008, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Michael Goesele,et al. Multi-View Stereo for Community Photo Collections , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[13] Roberto Cipolla,et al. Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Jan-Michael Frahm,et al. Detailed Real-Time Urban 3D Reconstruction from Video , 2007, International Journal of Computer Vision.
[15] J. Ponce,et al. Accurate, Dense, and Robust Multi-View Stereopsis , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[16] H. Hirschmüller. Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Stereo Processing by Semi-global Matching and Mutual Information , 2022 .
[17] Michael M. Kazhdan,et al. Poisson surface reconstruction , 2006, SGP '06.
[18] Richard Szeliski,et al. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[19] Leif Kobbelt,et al. Hierarchical Volumetric Multi-view Stereo Reconstruction of Manifold Surfaces based on Dual Graph Embedding , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[20] Luc Van Gool,et al. Combined Depth and Outlier Estimation in Multi-View Stereo , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[21] Larry S. Davis,et al. 3D Surface Reconstruction Using Graph Cuts with Surface Constraints , 2006, ECCV.
[22] Adrian Hilton,et al. Volumetric Stereo with Silhouette and Feature Constraints , 2006, BMVC.
[23] Jian Sun,et al. Symmetric stereo matching for occlusion handling , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[24] Pascal Fua,et al. A parallel stereo algorithm that produces dense depth maps and preserves image features , 1993, Machine Vision and Applications.
[25] G. LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[26] C. Strecha,et al. Wide-baseline stereo from multiple views: A probabilistic account , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[27] Pascal Fua,et al. From Multiple Stereo Views to Multiple 3-D Surfaces , 1997, International Journal of Computer Vision.
[28] Rachid Deriche,et al. Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space BasedApproach , 2002, MVA.