10.6.1 Large Scale Multi-View Stereo, Internet Scale

CVLab dense multi-view stereo image database,
2010
HTML Version. Dataset, Stereo. Multiple views, ground level, of buildings

IS-3D: Data,
2008.
HTML Version. Dataset, Stereo. Multiple views of various structures.

Project Photofly,
2010
WWW Link. Vendor, 3-D Models. Automatically converting photographs shot around an object or a scene into photo scenes.
See also Autodesk.

Aliaga, D.G.[Daniel G.], Funkhouser, T.[Thomas], Yanovsky, D.[Dimah], and Carlbom, I.[Ingrid],
Sea of Images: A Dense Sampling Approach for Rendering Large Indoor Environments,
IEEE_CGA(23), No. 6, November/December, 2003, pp. 22-30.
HTML Version.
See also Accurate Catadioptric Calibration for Real-time Pose Estimation of Room-size Environments. BibRef 0311

Brandt, S.S.[Sami S.],
Conditional solutions for the affine reconstruction of N-views,
IVC(23), No. 7, 1 July 2005, pp. 619-630.
Elsevier DOI 0506
BibRef

Kannala, J.H.[Ju-Ho], Rahtu, E.[Esa], Brandt, S.S.[Sami S.], Heikkila, J.[Janne],
Object recognition and segmentation by non-rigid quasi-dense matching,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Koskenkorva, P.[Pekka], Kannala, J.H.[Ju-Ho], Brandt, S.S.[Sami S.],
Quasi-dense Wide Baseline Matching for Three Views,
ICPR10(806-809).
IEEE DOI 1008
BibRef
Earlier: A2, A3, Only:
Quasi-Dense Wide Baseline Matching Using Match Propagation,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Snavely, N.[Noah], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Modeling the World from Internet Photo Collections,
IJCV(80), No. 2, November 2008, pp. xx-yy.
Springer DOI 0809
BibRef
Earlier:
Photo Tourism: Exploring image collections in 3D,
SigGraph06(835-846).
PDF File. For browsing large image collections.
See also Fast algorithms for L-inf problems in multiview geometry. BibRef

Snavely, N.[Noah], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Skeletal graphs for efficient structure from motion,
CVPR08(1-8).
IEEE DOI
WWW Link. 0806
BibRef

Wilson, K.[Kyle], Snavely, N.[Noah],
Robust Global Translations with 1DSfM,
ECCV14(III: 61-75).
Springer DOI 1408
BibRef

Snavely, N.[Noah],
Bundler: Structure from Motion for Unordered Image Collections,
OnlineMay 2009. Code, Structure from Motion.
WWW Link. 0909
BibRef

Simon, I.[Ian], Snavely, N.[Noah], Seitz, S.M.[Steven M.],
Scene Summarization for Online Image Collections,
ICCV07(1-8).
IEEE DOI
WWW Link. 0710
Combine images using a Shape from Motion scheme to map where the camera is.
See also Multi-View Stereo for Community Photo Collections. BibRef

Snavely, N.[Noah], Garg, R.[Rahul], Seitz, S.M.[Steven M.], Szeliski, R.[Richard],
Finding Paths through the World's Photos,
SIGGraph-08(xx-yy)
PDF File.
WWW Link. BibRef 0800

Crandall, D.J.[David J.], Snavely, N.[Noah],
Modeling People and Places with Internet Photo Collections,
CACM(55), No. 6, June 2012, pp. 52-60.
DOI Link 1205
Understanding the world from the sea of online photos. BibRef

Vu, H.H.[Hoang-Hiep], Labatut, P.[Patrick], Pons, J.P.[Jean-Philippe], Keriven, R.[Renaud],
High Accuracy and Visibility-Consistent Dense Multiview Stereo,
PAMI(34), No. 5, May 2012, pp. 889-901.
IEEE DOI 1204
BibRef
Earlier: A1, A4, A2, A3:
Towards high-resolution large-scale multi-view stereo,
CVPR09(1430-1437).
IEEE DOI 0906

See also Fast Level Set Multi-View Stereo on Graphics Hardware. Complete, multi-view with uncontrolled imaging (outdoor) conditions. Compare to:
See also CVLab dense multi-view stereo image database. BibRef

Labatut, P.[Patrick], Pons, J.P.[Jean-Philippe], Keriven, R.[Renaud],
Hierarchical shape-based surface reconstruction for dense multi-view stereo,
3DIM09(1598-1605).
IEEE DOI 0910

See also Fast Level Set Multi-View Stereo on Graphics Hardware. BibRef

Tola, E.[Engin], Strecha, C.[Christoph], Fua, P.[Pascal],
Efficient large-scale multi-view stereo for ultra high-resolution image sets,
MVA(23), No. 5, September 2012, pp. 903-920.
WWW Link. 1208

See also Combined Depth and Outlier Estimation in Multi-View Stereo.
See also On benchmarking camera calibration and multi-view stereo for high resolution imagery. BibRef

Steve Seitz: Using 2D images to create 3D models of historic places,
SPIE(Newsroom), January 22, 2013
DOI Link 1305
Those photos you took on your vacation may well have contributed to an impressive 3D model of a familiar tourist attraction. BibRef

Qian, X., Xue, Y., Yang, X., Tang, Y.Y., Hou, X., Mei, T.,
Landmark Summarization With Diverse Viewpoints,
CirSysVideo(25), No. 11, November 2015, pp. 1857-1869.
IEEE DOI 1511
Bit error rate BibRef

Xue, B.D.[Bin-Dang], Cao, L.[Lei], Han, D.H.[Dong-Hai], Bai, X.Z.[Xiang-Zhi], Zhou, F.[Fugen], Jiang, Z.G.[Zhi-Guo],
A DAISY descriptor based multi-view stereo method for large-scale scenes,
JVCIR(35), No. 1, 2016, pp. 15-24.
Elsevier DOI 1602
Computer vision BibRef

Xiao, X.W.[Xiong-Wu], Guo, B.X.[Bing-Xuan], Li, D.R.[De-Ren], Li, L.H.[Lin-Hui], Yang, N.[Nan], Liu, J.C.[Jian-Chen], Zhang, P.[Peng], Peng, Z.[Zhe],
Multi-View Stereo Matching Based on Self-Adaptive Patch and Image Grouping for Multiple Unmanned Aerial Vehicle Imagery,
RS(8), No. 2, 2016, pp. 89.
DOI Link 1603
BibRef

Martin-Brualla, R.[Ricardo], Gallup, D.[David], Seitz, S.M.[Steven M.],
3D Time-Lapse Reconstruction from Internet Photos,
IJCV(125), No. 1-3, December 2018, pp. 52-64.
Springer DOI 1711
BibRef
Earlier: ICCV15(1332-1340)
IEEE DOI 1602
3D Times lapse video from a photo collection of a landmark. Cameras. Not just 3D, but change over time. Large number of images. BibRef

Ben-Ezra, S.[Shahar], Cohen-Or, D.[Daniel],
Space-time image layout,
VC(34), No. 3, March 2018, pp. 417-430.
Springer DOI 1802
Activity captured by multiple people. BibRef

Joo, H.[Hanbyul], Simon, T.[Tomas], Li, X.L.[Xu-Long], Liu, H.[Hao], Tan, L.[Lei], Gui, L.[Lin], Banerjee, S.[Sean], Godisart, T.[Timothy], Nabbe, B.[Bart], Matthews, I.[Iain], Kanade, T.[Takeo], Nobuhara, S.[Shohei], Sheikh, Y.[Yaser],
Panoptic Studio: A Massively Multiview System for Social Interaction Capture,
PAMI(41), No. 1, January 2019, pp. 190-204.
IEEE DOI 1812
BibRef
Earlier: A1, A4, A5, A6, A9, A10, A11, A11, A12, Only:
Panoptic Studio: A Massively Multiview System for Social Motion Capture,
ICCV15(3334-3342)
IEEE DOI 1602
Cameras, Sensors, Face, High definition video, Motion measurement, Human motion capture, markerless motion capture BibRef

Zhang, R.Z.[Run-Ze], Zhu, S.Y.[Si-Yu], Shen, T.W.[Tian-Wei], Zhou, L.[Lei], Luo, Z.X.[Zi-Xin], Fang, T.[Tian], Quan, L.[Long],
Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus,
PAMI(42), No. 2, February 2020, pp. 291-303.
IEEE DOI 2001
BibRef
Earlier: A1, A2, A6, A7, Only: ICCV17(29-38)
IEEE DOI 1802
Cameras, Bundle adjustment, Optimization, Convex functions, Convergence, Merging, Bundle adjustment, structure-from-motion, distributed computing. distributed processing, graph theory, image motion analysis. BibRef

Zhang, R.Z., Li, S.W., Fang, T., Zhu, S.Y., Quan, L.,
Joint Camera Clustering and Surface Segmentation for Large-Scale Multi-view Stereo,
ICCV15(2084-2092)
IEEE DOI 1602
Cameras BibRef

Li, S.W.[Shi-Wei], Siu, S.Y.[Sing Yu], Fang, T.[Tian], Quan, L.[Long],
Efficient Multi-view Surface Refinement with Adaptive Resolution Control,
ECCV16(I: 349-364).
Springer DOI 1611
BibRef

Zhu, S.Y., Zhang, R.Z., Zhou, L., Shen, T., Fang, T., Tan, P., Quan, L.,
Very Large-Scale Global SfM by Distributed Motion Averaging,
CVPR18(4568-4577)
IEEE DOI 1812
Cameras, Particle separators, Image reconstruction, Computer vision, Convergence, Robustness BibRef

Parisotto, S., Calatroni, L., Bugeau, A., Papadakis, N., Schönlieb, C.B.,
Variational Osmosis for Non-Linear Image Fusion,
IP(29), 2020, pp. 5507-5516.
IEEE DOI 2005
Osmosis filtering, image fusion, non-convex optimization, primal-dual algorithm, cultural heritage imaging BibRef

Li, Z., Zuo, W., Wang, Z., Zhang, L.,
Confidence-Based Large-Scale Dense Multi-View Stereo,
IP(29), 2020, pp. 7176-7191.
IEEE DOI 2007
Image reconstruction, Surface reconstruction, Interpolation, Estimation, refinement BibRef

Nassar, A.S.[Ahmed Samy], Lefèvre, S.[Sébastien], Wegner, J.D.[Jan Dirk],
Multi-View Instance Matching with Learned Geometric Soft-Constraints,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
VArious multiple views of objects for detailed descriptions. BibRef

Xu, Z., Liu, Y., Shi, X., Wang, Y., Zheng, Y.,
MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction,
CVPR20(5980-5989)
IEEE DOI 2008
Geometry, Image reconstruction, Merging, Benchmark testing, Image matching, Surface texture BibRef

Yu, Z., Gao, S.,
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement,
CVPR20(1946-1955)
IEEE DOI 2008
Memory management, Image resolution, Prediction algorithms, Image reconstruction, Optimization, Feature extraction BibRef

Yao, Y., Luo, Z., Li, S., Zhang, J., Ren, Y., Zhou, L., Fang, T., Quan, L.,
BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks,
CVPR20(1787-1796)
IEEE DOI 2008
Training, Lighting, Cameras, Image reconstruction, Pipelines, Benchmark testing BibRef

Wang, Y., Guan, T., Chen, Z., Luo, Y., Luo, K., Ju, L.,
Mesh-Guided Multi-View Stereo With Pyramid Architecture,
CVPR20(2036-2045)
IEEE DOI 2008
Image reconstruction, Fuses, Face, Surface treatment, Geometry, Estimation BibRef

Gu, X., Fan, Z., Zhu, S., Dai, Z., Tan, F., Tan, P.,
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching,
CVPR20(2492-2501)
IEEE DOI 2008
Graphics processing units, Feature extraction, Standards, Cameras, Spatial resolution BibRef

Yang, J., Mao, W., Alvarez, J.M., Liu, M.,
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo,
CVPR20(4876-4885)
IEEE DOI 2008
Image resolution, Feature extraction, Buildings, Memory management, Estimation, Image reconstruction BibRef

Bai, Z., Cui, Z., Rahim, J.A., Liu, X., Tan, P.,
Deep Facial Non-Rigid Multi-View Stereo,
CVPR20(5849-5859)
IEEE DOI 2008
Face, Optimization, Image reconstruction, Adaptation models, Shape, Geometry BibRef

Liu, J., Ji, S.,
A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset,
CVPR20(6049-6058)
IEEE DOI 2008
Image reconstruction, Cameras, Surface reconstruction, Machine learning, Memory management, Buildings BibRef

Henzler, P.[Philipp], Mitra, N.[Niloy], Ritschel, T.[Tobias],
Escaping Plato's Cave: 3D Shape From Adversarial Rendering,
ICCV19(9983-9992)
IEEE DOI 2004
3D from unstructured collection of 2D images. image reconstruction, neural nets, rendering (computer graphics), stereo image processing, 3D shape, adversarial rendering, Image reconstruction BibRef

Maset, E.[Eleonora], Arrigoni, F.[Federica], Fusiello, A.[Andrea],
Practical and Efficient Multi-view Matching,
ICCV17(4578-4586)
IEEE DOI 1802
BibRef
Earlier: A2, A1, A3:
Synchronization in the Symmetric Inverse Semigroup,
CIAP17(II:70-81).
Springer DOI 1711
image denoising, image matching, iterative methods, closed-form efficiency algorithm, iterative techniques, Matrix decomposition. Sequence of multiple images. BibRef

Radenovic, F.[Filip], Schönberger, J.L.[Johannes L.], Ji, D.H.[Ding-Huang], Frahm, J.M.[Jan-Michael], Chum, O.[Ondrej], Matas, J.G.[Jirí G.],
From Dusk Till Dawn: Modeling in the Dark,
CVPR16(5488-5496)
IEEE DOI 1612
BibRef

Bláha, M.[Maroš], Vogel, C.[Christoph], Richard, A.[Audrey], Wegner, J.D.[Jan D.], Pock, T.[Thomas], Schindler, K.[Konrad],
Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling,
CVPR16(3176-3184)
IEEE DOI 1612
BibRef

Dar, M.[Mor], Moses, Y.[Yael],
Temporal Epipolar Regions,
CVPR16(1220-1228)
IEEE DOI 1612
Dynamic events from multiple unconstrained viewpoints. BibRef

Zhuo, W., Salzmann, M.[Mathieu], He, X.M.[Xu-Ming], Liu, M.M.[Miao-Miao],
Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference,
CVPR17(6269-6277)
IEEE DOI 1711
BibRef
Earlier: A4, A3, A2, Only:
Building Scene Models by Completing and Hallucinating Depth and Semantics,
ECCV16(VI: 258-274).
Springer DOI 1611
Cognition, Image segmentation, Labeling, Semantics, Support vector machines. Occlusions in depth sensing. BibRef

Diaz, R., Lee, M., Schubert, J., Fowlkes, C.C.,
Lifting GIS maps into strong geometric context for scene understanding,
WACV16(1-9)
IEEE DOI 1606
Combine GIS resource with large sets of images using shape from motion techniques. BibRef

Locher, A., Perdoch, M., Van Gool, L.J.,
Progressive Prioritized Multi-view Stereo,
CVPR16(3244-3252)
IEEE DOI 1612
BibRef

Locher, A., Perdoch, M., Riemenschneider, H., Van Gool, L.J.,
Mobile phone and cloud: A dream team for 3D reconstruction,
WACV16(1-8)
IEEE DOI 1606
Image reconstruction BibRef

Ji, D.H.[Ding-Huang], Dunn, E.[Enrique], Frahm, J.M.[Jan-Michael],
Synthesizing Illumination Mosaics from Internet Photo-Collections,
ICCV15(3988-3996)
IEEE DOI 1602
Feature extraction BibRef

Galliani, S.[Silvano], Schindler, K.[Konrad],
Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction,
CVPR16(5479-5487)
IEEE DOI 1612
BibRef

Galliani, S., Lasinger, K., Schindler, K.,
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion,
ICCV15(873-881)
IEEE DOI 1602
Benchmark testing BibRef

Peres, M., Savakis, A.,
Crowdpainting with Light: Participatory Imaging at the Big Shot,
Extreme15(683-687)
IEEE DOI 1602
Buildings BibRef

Chen, Y.C., Tseng, Y.H., Hsieh, C.Y., Wang, P.C., Tsai, P.C.,
Object-space Multi-image Matching of Mobile-mapping-system Image Sequences,
ISPRS12(XXXIX-B5:465-470).
DOI Link 1209
BibRef

Abate, D., Furini, G., Migliori, S., Pierattini, S.,
Project Photofly: New 3D Modeling Online Web Service (Case Studies and Assessments),
3DARCH11(xx-yy).
PDF File. 1103

See also Project Photofly. BibRef

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Multi-Baseline Stereo, Multibaseline Stereo .