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
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
Li, S.[Shiwei],
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.,
Zhang, R.,
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
Zhang, R.,
Zhu, S.,
Fang, T.,
Quan, L.,
Distributed Very Large Scale Bundle Adjustment by Global Camera
Consensus,
ICCV17(29-38)
IEEE DOI
1802
cameras, distributed processing, graph theory,
image motion analysis, optimisation,
Optimization
BibRef
Zhang, R.,
Li, S.,
Fang, T.,
Zhu, S.,
Quan, L.,
Joint Camera Clustering and Surface Segmentation for Large-Scale
Multi-view Stereo,
ICCV15(2084-2092)
IEEE DOI
1602
Cameras
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 .