10.6 Multiple Cameras or Views

Pix4D,
3D model of buildings, cities, from images.
WWW Link. Vendor, 3-D Construction. Aerial and terrestrial photogrammetry and mapping. EPFL Spinoff: See also Ecole Polytechnique Fédérale de Lausanne.

Murray, D.W.,
Recovering Range Using Virtual Multicamera Stereo,
CVIU(61), No. 2, March 1995, pp. 285-291.
DOI Link
HTML Version. BibRef 9503

Murray, D.W., and Beardsley, P.A.,
Range recovery using virtual multi-camera stereo,
BMVC92(29-38).
PDF File. BibRef 9200

Beardsley, P.A., Brady, J.M., Murray, D.W.,
Prediction of stereo disparity using optical flow,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Berthod, M., Shekarforoush, H., Werman, M., Zerubia, J.B.,
Reconstruction of High Resolution 3D Visual Information Using Sub-pixel Camera Displacements,
CVPR94(654-657).
IEEE DOI BibRef 9400

Stenstrom, J.R., and Connolly, C.I.,
Constructing Object Models from Multiple Images,
IJCV(9), No. 3, 1992, pp. 185-212.
Springer DOI BibRef 9200
And: A2, A1:
3-D Scene Reconstruction from Multiple Intensity Images,
3DWS89(124-130). BibRef
Earlier: A2, A1:
Construction of Polyhedral Models from Multiple Range Views,
ICPR86(85-87). See also Matching from 3-D Range Models into 2-D Intensity Scenes. BibRef

Baltsavias, E.P.,
Multiphoto Geometrically Constrained Matching,
Ph.D.Thesis (Zurich), December 1991. A Photogrammetry thesis on image matching exploring many of the problems in matching at the image level for stereo analysis. BibRef 9112

Bridwell, N.J.[Nelson J.], Huang, T.S.[Thomas S.],
A Discrete Spatial Representation for Lateral Motion Stereo,
CVGIP(21), No. 1, January 1983, pp. 33-57.
Elsevier DOI Laterally translating camera. BibRef 8301

Yoshida, K., and Hirose, S.,
Real-Time Stereo Vision with Multiple Arrayed Camera,
CRA92(1765-1770). BibRef 9200

Gruen, A., and Baltsavias, E.,
Geometrically Constrained Multiphoto Matching,
PhEngRS(54), No. 5, 1988, pp. 633-641. BibRef 8800

Zhang, L.[Li], Gruen, A.[Armin],
Multi-image matching for DSM generation from IKONOS imagery,
PandRS(60), No. 3, May 2006, pp. 195-211.
Elsevier DOI 0610
High-resolution satellite imagery; IKONOS; Image matching; DSM generation BibRef

Tateda, M., Naruse, H., Ide, A., Nobiki, A.,
Integration Of Overlapping Maps Made By Stereo Vision Using View Field Information,
SMC(24), No. 8, August 1994, pp. 1273-1279. BibRef 9408

Pollard, S.B.[Stephen B.], Porrill, J.[John], Mayhew, J.E.W.[John E.W.], Frisby, J.P.[John P.],
Matching Geometrical Descriptions in Three-Space,
IVC(5), No. 2, May 1987, pp. 73-78.
Elsevier DOI Combine, edge-based stereo. BibRef 8705

Thacker, N.A.[Neil A.], Mayhew, J.E.W.[John E.W.],
Optimal Combination of Stereo Camera Calibration from Arbitrary Stereo Images,
IVC(9), No. 1, February 1991, pp. 27-32.
Elsevier DOI BibRef 9102
Earlier: BMVC90(xx-yy).
PDF File. 9009
BibRef

Porrill, J.[John], Pollard, S.B.[Stephen B.], Mayhew, J.E.W.[John E.W.],
Optimal Combination of Multiple Sensors Including Stereo Vision,
IVC(5), No. 2, May 1987, pp. 174-180.
Elsevier DOI Multiple sources. BibRef 8705

Pridmore, A.P., Porrill, J.[John], Mayhew, J.E.W.[John E.W.],
Segmentation and Description of Binocularly Viewed Contours,
IVC(5), No. 2, May 1987, pp. 132-138.
Elsevier DOI BibRef 8705

Pollard, S.B., Pridmore, T.P., Porrill, J., Mayhew, J.E.W.[John E.W.], Frisby, J.P.[John P.],
Geometrical Modeling from Multiple Stereo Views,
IJRR(8), No. 4, 1989, pp. 3-32. BibRef 8900

Pollard, S.B.[Stephen B.], Porrill, J.[John], Mayhew, J.E.W.[John E.W.],
Recovering Partial 3D Wire Frame Descriptions from Stereo Data,
IVC(9), No. 1, February 1991, pp. 58-65.
Elsevier DOI BibRef 9102
Earlier: BMVC90(xx-yy).
PDF File. 9009
BibRef

Pollard, S.B., Mayhew, J.E.W.[John E.W.], Frisby, J.P.[John P.],
PMF: A Stereo Correspondence Algorithm Using a Disparity Gradient Limit,
Perception(14), 1985, pp. 449-470. Relaxation based matching scheme. BibRef 8500

Mohr, R.[Roger], Boufama, B.S.[Boubakeur S.], Brand, P.[Pascal],
Understanding Positioning from Multiple Images,
AI(78), No. 1-2, October 1995, pp. 213-238.
Elsevier DOI BibRef 9510

Florou, G., Mohr, R.,
What Accuracy for 3D Measurements with Cameras?,
ICPR96(I: 354-358).
IEEE DOI 9608
(GRAVIR, F) BibRef

Sugimoto, A.,
Object Recognition by Combining Paraperspective Images,
IJCV(19), No. 2, August 1996, pp. 181-201.
Springer DOI 9609
BibRef

Sugimoto, A., Murota, K.,
3D Object Recognition by Combination of Perspective Images,
SPIE(1904), February 1993, pp. 183-195. BibRef 9302

Muller, R.,
Three-Dimensional (3-D) Image-Reconstruction from Series of Light-Microscopic Exposures,
Optik(104), No. 2, December 1996, pp. 55-66. 9701
BibRef

Wilf, I., Manor, Y.,
Multiple-View Model-Based Inspection Of Quadric Objects,
PRL(10), 1989, pp. 33-38. BibRef 8900

Pinjo, Z., Cyganski, D., Orr, J.A.,
Determination of 3-D Object Orientation from Projections,
PRL(3), 1985, pp. 351-356. BibRef 8500

Mann, S., Picard, R.W.,
Video Orbits of the Projective Group: A Simple Approach to Featureless Estimation of Parameters,
IP(6), No. 9, September 1997, pp. 1281-1295.
IEEE DOI 9709
BibRef

Mann, S.[Steve], Picard, R.W.[Rosalind W.],
Method and apparatus for relating and combining multiple images of the same scene or object(s),
US_Patent5,706,416, Jan 6, 1998
WWW Link. BibRef 9801
And:
Virtual Bellows: Constructing High Quality Stills from Video,
ICIP94(I: 363-367).
IEEE DOI 9411
BibRef
And: Vismod-259, 1993.
HTML Version. and
PS File. BibRef

Basri, R.[Ronen], Grove, A.J.[Adam J.], Jacobs, D.W.[David W.],
Efficient determination of shape from multiple images containing partial information,
PR(31), No. 11, November 1998, pp. 1691-1703. BibRef 9811
Earlier:
Elsevier DOI ICPR96(I: 268-274).
IEEE DOI 9608
(The Weizmann Inst. of Science, IL) BibRef

Park, J.I.[Jong-Il], Inoue, S.[Seiki],
Acquisition of sharp depth map from multiple cameras,
SP:IC(14), No. 1-2, November 1998, pp. 7-19.
Elsevier DOI BibRef 9811
Earlier:
Hierarchical depth mapping from multiple cameras,
CIAP97(I: 685-692).
Springer DOI 9709
Overcome occlusions. BibRef

Eisert, P., Steinbach, E.G., Girod, B.,
Automatic Reconstruction of Stationary 3-D Objects from Multiple Uncalibrated Camera Views,
CirSysVideo(10), No. 2, March 2000, pp. 261.
IEEE Top Reference. 0003
BibRef

Tsai, C.J.[Chun-Jen], Katsaggelos, A.K.,
Sequential Construction of 3-D Based Scene Description,
CirSysVideo(10), No. 4, June 2000, pp. 576-584.
IEEE Top Reference. 0006
BibRef
Earlier: ICIP99(II:510-514).
IEEE DOI BibRef

Kahl, F.[Fredrik], Heyden, A.[Anders], Quan, L.[Long],
Minimal Projective Reconstruction Including Missing Data,
PAMI(23), No. 4, April 2001, pp. 418-424.
IEEE Abstract.
IEEE DOI 0001
BibRef
Earlier: A3, A2, A1:
Minimal Projective Reconstruction with Missing Data,
CVPR99(II: 210-216).
IEEE Abstract.
IEEE DOI How to analyze the conditions for reconstruction. BibRef

Cheng, Y.Q., Wang, X.G., Collins, R.T., Riseman, E.M., Hanson, A.R.,
Three-Dimensional Reconstruction of Points and Lines with Unknown Correspondence across Images,
IJCV(45), No. 2, November 2001, pp. 129-156.
DOI Link 0111
Line based multi-image stereo analysis. BibRef

Cheng, Y.Q.[Yong-Qing], Collins, R.T.[Robert T.], Wang, X.G.[Xiao-Guang], Riseman, E.M.[Edward M.], Hanson, A.R.[Allen R.],
Erratum: Three-Dimensional Reconstruction of Points and Lines with Unknown Correspondence,
IJCV(47), No. 1-3, April-June 2002, pp. 289-289.
DOI Link 0203
BibRef

Wang, X.G.[Xiao-Guang], Cheng, Y.Q.[Yong-Qing], Collins, R.T.[Robert T.], and Hanson, A.R.,
Determining Correspondences and Rigid Motion of 3D Point Sets with Missing Data,
CVPR96(252-257).
IEEE Abstract.
IEEE DOI BibRef 9600

Collins, R.T., Hanson, A.R., Riseman, E.M., and Cheng, Y.Q.,
Model Matching and Extension for Automated 3D Site Modeling,
DARPA93(197-203). Matching the model (wire-frame) to the extracted data and extending the existing model. BibRef 9300

Pedersini, F., Sarti, A., Tubaro, S.,
Accurate and simple geometric calibration of multi-camera systems,
SP(77), No. 3, September 1999, pp. 309-334. BibRef 9909
Earlier:
Accurate feature detection and matching for the tracking of calibration parameters in multi-camera acquisition systems,
ICIP98(II: 598-602).
IEEE DOI 9810
BibRef

Pedersini, F., Sarti, A., Tubaro, S.,
Multi-camera systems,
SPMag(16), No. 3, May 1999, pp. 55-65. 0201
BibRef

Pedersini, F., Pigazzini, P., Sarti, A., Tubaro, S.,
Multicamera motion estimation for high-accuracy 3D reconstruction,
SP(80), No. 1, January 2000, pp. 1-21. 0005
See also Accurate and simple geometric calibration of multi-camera systems. BibRef

Pedersini, F.[Federico], Sarti, A.[Augusto], Tubaro, S.[Stefano],
Multi-camera parameter tracking,
VISP(148), No. 1, February 2001, pp. 70-77. 0105
BibRef
Earlier:
Multi-Camera Acquisitions for High-Accuracy 3D Reconstruction,
SMILE98(xx-yy). BibRef
Earlier:
Egomotion Estimation of a Multicamera System Through Line Correspondences,
ICIP97(II: 175-178).
IEEE DOI 9710
BibRef
Earlier:
3D Motion Estimation of a Trinocular System for a Full-3D Object Reconstruction,
ICIP96(II: 867-870).
IEEE DOI BibRef

Weng, J.Y.[Ju-Yang], Hammond, D.J.[David James],
Method and system for building three-dimensional object models,
US_Patent6,081,273, Jun 27, 2000
WWW Link. BibRef 0006

Irani, M.[Michal], Anandan, P., Cohen, M.[Meir],
Direct Recovery of Planar-Parallax from Multiple Frames,
PAMI(24), No. 11, November 2002, pp. 1528-1534.
IEEE Abstract. 0211
Depth in terms of plan plus parallax. BibRef

Davison, A.J.[Allan Joseph], Haslam, J.[Jane], Lyons, A.R.[Alexander Ralph], Rowe, S.M.[Simon Michael], Taylor, R.I.[Richard Ian],
Image processing apparatus,
US_Patent6,668,082, Dec 23, 2003
WWW Link. multiple views for 3-D BibRef 0312

Kolmogorov, V.[Vladimir], Zabih, R.[Ramin],
What Energy Functions Can Be Minimized via Graph Cuts?,
PAMI(26), No. 2, February 2004, pp. 147-159.
IEEE DOI 0402
BibRef
Earlier: ECCV02(III: 65 ff.). Award, ECCV.
Springer DOI 0205
For Code: See also Kolmogorov and Zabih's Graph Cuts Stereo Matching Algorithm. See also Fast Approximate Energy Minimization via Graph Cuts. See also Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies. BibRef

Kolmogorov, V.[Vladimir], Zabih, R.[Ramin],
Multi-camera Scene Reconstruction via Graph Cuts,
ECCV02(III: 82 ff.). Award, ECCV.
Springer DOI 0205
BibRef
Earlier:
Computing Visual Correspondence with Occlusions via Graph Cuts,
ICCV01(II: 508-515).
IEEE DOI 0106
Handle occlusions in correspondence. code is available:
WWW Link. Code, Stereo. BibRef

Zabih, R.,
Solving Linear Inverse Systems with Graph Cuts,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Kolmogorov, V.[Vladimir], Rother, C.[Carsten],
Comparison of Energy Minimization Algorithms for Highly Connected Graphs,
ECCV06(II: 1-15).
Springer DOI 0608
BibRef

Kim, J.[Junhwan], Kolmogorov, V., Zabih, R.,
Visual correspondence using energy minimization and mutual information,
ICCV03(1033-1040).
IEEE DOI 0311
BibRef

Kolmogorov, V.[Vladimir], Monasse, P.[Pascal], Tan, P.[Pauline],
Kolmogorov and Zabih's Graph Cuts Stereo Matching Algorithm,
IPOL(2014), No. 2014, pp. 220-251.
DOI Link 1411
Code, Stereo Matching. See also What Energy Functions Can Be Minimized via Graph Cuts?. See also Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies. BibRef

Pal, C.J.[Christopher J.], Weinman, J.J.[Jerod J.], Tran, L.C.[Lam C.], Scharstein, D.[Daniel],
On Learning Conditional Random Fields for Stereo: Exploring Model Structures and Approximate Inference,
IJCV(99), No. 3, September 2012, pp. 319-337.
WWW Link. 1206
BibRef
Earlier: A2, A3, A1, Only:
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing,
ECCV08(I: 617-630).
Springer DOI 0810
BibRef

Scharstein, D.[Daniel], Pal, C.J.[Christopher J.],
Learning Conditional Random Fields for Stereo,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Szeliski, R.S.[Richard S.], Zabih, R.[Ramin], Scharstein, D.[Daniel], Veksler, O.[Olga], Kolmogorov, V.[Vladimir], Agarwala, A.[Aseem], Tappen, M.[Marshall], Rother, C.[Carsten],
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors,
PAMI(30), No. 6, June 2008, pp. 1068-1080.
IEEE DOI 0804
Survey, Energy Minimization. BibRef
Earlier:
A Comparative Study of Energy Minimization Methods for Markov Random Fields,
ECCV06(II: 16-29).
Springer DOI 0608
Iterated conditional Modes (ICM) ( See also On the Statistical Analysis of Dirty Pictures. ), Graph Cuts ( See also Fast Approximate Energy Minimization via Graph Cuts. ), Max-Product Loopy Belief Propogation LBP ( See also Efficient Belief Propagation for Early Vision. ) or ( See also Learning Low-Level Vision. ) Tree Reweighted Message Passing (TRW) (Similar to LBP, but different) ( See also MAP Estimation via Agreement on (Hyper)Trees: Message-Passing and Linear-Programming Approaches. ) BibRef

Ma, Y.[Yi],
A Differential Geometric Approach to Multiple View Geometry in Spaces of Constant Curvature,
IJCV(58), No. 1, June 2004, pp. 37-53.
DOI Link 0403
Based upon an axiomatic formulation of vision system in a general Riemannian manifold. BibRef

Huang, K., Fossum, R.M., Ma, Y.,
Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes,
ECCV02(II: 201 ff.).
Springer DOI 0205
Constraints from the problem. BibRef

Liu, B.[Bing], Yu, M.[Maoyuan], Maier, D.[Dennis], Männer, R.[Reinhard],
An Efficient and Accurate Method for 3D-Point Reconstruction from Multiple Views,
IJCV(65), No. 3, December 2005, pp. 175-188.
Springer DOI 0601
BibRef

Tsin, Y., Kang, S.B.[Sing Bing], Szeliski, R.S.,
Stereo Matching with Linear Superposition of Layers,
PAMI(28), No. 2, February 2006, pp. 290-301.
IEEE DOI 0601
BibRef
Earlier:
Stereo matching with reflections and translucency,
CVPR03(I: 702-709).
IEEE DOI 0307
BibRef

Kang, S.B.[Sing Bing], Szeliski, R.S., Chai, J.X.[Jin-Xiang],
Handling Occlusions in Dense Multi-view Stereo,
CVPR01(I:103-110).
IEEE DOI 0110
Use a combination of shiftable windows and a dynamically se-lected subset of the neighboring images to do the matches. BibRef

Joulin, A.[Armand], Kang, S.B.[Sing Bing],
Recovering Stereo Pairs from Anaglyphs,
CVPR13(289-296)
IEEE DOI 1309
3D; anaglyph; image reconstruction. Almost the inverse of the stereo problem, but the same matching issues. BibRef

Mordohai, P.[Philippos], Medioni, G.,
Stereo Using Monocular Cues within the Tensor Voting Framework,
PAMI(28), No. 6, June 2006, pp. 968-982.
IEEE DOI 0605
BibRef
Earlier:
Dense multiple view stereo with general camera placement using tensor voting,
3DPVT04(725-732).
IEEE DOI 0412
BibRef
Earlier:
Perceptual grouping for multiple view stereo using tensor voting,
ICPR02(III: 639-644).
IEEE DOI 0211
Matching with occlusion and lack of texture. Multiple matching candidates embedded in disparity space, grouping applied in 3-D neighborhoods. Correct matches produce good surfaces. BibRef

Hu, X.Y.[Xiao-Yan], Mordohai, P.[Philippos],
A Quantitative Evaluation of Confidence Measures for Stereo Vision,
PAMI(34), No. 11, November 2012, pp. 2121-2133.
IEEE DOI 1209
BibRef
Earlier:
Evaluation of stereo confidence indoors and outdoors,
CVPR10(1466-1473).
IEEE DOI 1006
Compare 17 confidence measures. Binocular and multibaseline data with groundtruth. Rank on capability to rank depth estimates, likelihood of correctness, and occlusion detection. BibRef

Hu, X.Y.[Xiao-Yan], Mordohai, P.[Philippos],
Robust Probabilistic Occupancy Grid Estimation from Positive and Negative Distance Fields,
3DIMPVT12(539-546).
IEEE DOI 1212
BibRef

Mordohai, P.[Philippos],
The Self-Aware Matching Measure for stereo,
ICCV09(1841-1848).
IEEE DOI 0909
BibRef

Schrameck, M.[Michel], Voyles, R.[Richard], Myers, T.[Tom], Bodor, R.[Robert], Masoud, O.[Osama],
Automatic Euclidean reconstruction for turn-table sequences by indirect epipolar search between pairs of views,
IVC(24), No. 7, July 2006, pp. 693-708.
Elsevier DOI 0608
Structure from motion -- small rotation. BibRef

Lazebnik, S.[Svetlana], Furukawa, Y.[Yasutaka], Ponce, J.[Jean],
Projective Visual Hulls,
IJCV(74), No. 2, August 2007, pp. 137-165.
Springer DOI
PDF File. 0705
For data: See also University of Illinois Datasets. BibRef

Lazebnik, S.[Svetlana], Boyer, E.[Edmond], Ponce, J.[Jean],
On Computing Exact Visual Hulls of Solids Bounded by Smooth Surfaces,
CVPR01(I:156-161).
IEEE DOI
PS File. 0110
Contours and shape of visual cone. BibRef

Shan, Q.[Qi], Adams, R., Curless, B., Furukawa, Y., Seitz, S.M.,
The Visual Turing Test for Scene Reconstruction,
3DV13(25-32)
IEEE DOI 1311
data visualisation BibRef

Furukawa, Y.[Yasutaka], Curless, B.[Brian], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Towards Internet-scale multi-view stereo,
CVPR10(1434-1441).
IEEE DOI 1006
BibRef

Furukawa, Y.[Yasutaka], Curless, B.[Brian], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Manhattan-world stereo,
CVPR09(1422-1429).
IEEE DOI 0906
BibRef

Furukawa, Y.[Yasutaka], Ponce, J.[Jean],
Accurate, Dense, and Robust Multiview Stereopsis,
PAMI(32), No. 8, August 2010, pp. 1362-1376.
IEEE DOI 1007
BibRef
Earlier:
Accurate, Dense, and Robust Multi-View Stereopsis,
CVPR07(1-8).
IEEE DOI 0706
See also Robust Structure and Motion from Outlines of Smooth Curved Surfaces. Dense set of small rectangular patches covering visible surfaces. Match, expand, filter, start from sparse set of matches. BibRef

Wang, J.H.[Jia-Hui], Saito, H.[Hideo], Kimura, M.[Makoto], Mochimaru, M.[Masaaki], Kanade, T.[Takeo],
Human Foot Reconstruction from Multiple Camera Images with Foot Shape Database,
IEICE(E89-D), No. 5, May 2006, pp. 1732-1742.
DOI Link 0605
BibRef
Earlier:
Shape reconstruction of human foot from multi-camera images based on PCA of human shape database,
3DIM05(424-431).
IEEE DOI 0508
See also Face Shape Reconstruction from Image Sequence Taken with Monocular Camera using Shape Database. BibRef

Kimura, M.[Makoto], Mochimaru, M.[Masaaki], Kanade, T.[Takeo],
3D measurement of feature cross-sections of foot while walking,
MVA(22), No. 2, March 2011, pp. 377-388.
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Bean, H.N.[Heather N.], Robins, M.N.[Mark N.],
Method and digital camera for indicating when image data has been captured for a three-dimensional target object,
US_Patent7,050,625, May 23, 2006
WWW Link. Multiple images to capture 3-D data. BibRef 0605

Vogiatzis, G.[George], Hern¡ndez-Esteban, C.[Carlos], Torr, P.H.S.[Philip H. S.], Cipolla, R.[Roberto],
Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency,
PAMI(29), No. 12, December 2007, pp. 2241-2246.
IEEE DOI 0711
Find optimal partition into 3-D space, object and empty (background). BibRef

Hern¡ndez-Esteban, C.[Carlos], Vogiatzis, G.[George], Cipolla, R.[Roberto],
Multiview Photometric Stereo,
PAMI(30), No. 3, March 2008, pp. 548-554.
IEEE DOI 0801
BibRef
Earlier:
Probabilistic visibility for multi-view stereo,
CVPR07(1-8).
IEEE DOI 0706
Texturless shiny objects. Uses silhouettes in addition to multiple views. BibRef

Vogiatzis, G.[George], Hernandez, C.[Carlos],
Video-based, real-time multi-view stereo,
IVC(29), No. 7, June 2011, pp. 434-441.
Elsevier DOI 1101
BibRef
Earlier: A2, A1:
Self-calibrating a real-time monocular 3d facial capture system,
3DPVT10(xx-yy).
WWW Link. 1005
Real-time; Multi-view stereo; 3d reconstruction; Shape-from-X BibRef

Campbell, N.D.F., Vogiatzis, G., Hernandez, C., Cipolla, R.,
Automatic 3D Object Segmentation in Multiple Views using Volumetric Graph-Cuts,
IVC(28), No. 1, Januray 2010, pp. 14-25.
Elsevier DOI 1001
BibRef
Earlier: BMVC07(xx-yy).
PDF File. 0709
Segmentation; Multiple view; Graph-cut BibRef

Vogiatzis, G., Torr, P.H.S., Cipolla, R.,
Multi-View Stereo via Volumetric Graph-Cuts,
CVPR05(II: 391-398).
IEEE DOI 0507
BibRef

Ebrahimnezhad, H.[Hossein], Ghassemian, H.[Hassan],
Robust motion from space curves and 3d reconstruction from multiviews using perpendicular double stereo rigs,
IVC(26), No. 10, 1 October 2008, pp. 1397-1420.
Elsevier DOI 0804
3D reconstruction; Perpendicular double stereo; Silhouette; Structure from motion; Space curves; Unique points; Visual hull BibRef

Kolev, K.[Kalin], Klodt, M.[Maria], Brox, T.[Thomas], Cremers, D.[Daniel],
Continuous Global Optimization in Multiview 3D Reconstruction,
IJCV(84), No. 1, August 2009, pp. xx-yy.
Springer DOI 0905
BibRef
Earlier: EMMCVPR07(441-452).
Springer DOI 0708
BibRef

Kahl, F.[Fredrik], Agarwal, S.[Sameer], Chandraker, M.K.[Manmohan Krishna], Kriegman, D.J.[David J.], Belongie, S.J.[Serge J.],
Practical Global Optimization for Multiview Geometry,
IJCV(79), No. 3, September 2008, pp. xx-yy.
Springer DOI 0806
BibRef
Earlier: A2, A3, A1, A4, A5: ECCV06(I: 592-605).
Springer DOI 0608
A practical method for finding the provably globally optimal solution to numerous problems in projective geometry including multiview triangulation, camera resectioning and homography estimation. BibRef

Hartley, R.I.[Richard I.], Kahl, F.[Fredrik],
Optimal Algorithms in Multiview Geometry,
ACCV07(I: 13-34).
Springer DOI 0711
BibRef

Kahl, F., August, J.,
Multiview reconstruction of space curves,
ICCV03(1017-1024).
IEEE DOI 0311
BibRef

Enqvist, O.[Olof], Ask, E.[Erik], Kahl, F.[Fredrik], Åström, K.[Kalle],
Tractable Algorithms for Robust Model Estimation,
IJCV(112), No. 1, March 2015, pp. 115-129.
Springer DOI 1503
BibRef
Earlier:
Robust Fitting for Multiple View Geometry,
ECCV12(I: 738-751).
Springer DOI 1210
BibRef

Zhou, J., Wan, D., Wu, Y.,
The Chameleon-Like Vision System,
SPMag(27), No. 5, 2010, pp. 91-101.
IEEE DOI 1003
2 PTZ cameras. Control not conventional binocular. BibRef

Xi, Y.J.[Yong-Jian], Duan, Y.[Ye],
An Iterative Surface Evolution Algorithm for Multiview Stereo,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1003
BibRef

Montijano, E.[Eduardo], Sagues, C.[Carlos],
Distributed multi-camera visual mapping using topological maps of planar regions,
PR(44), No. 7, July 2011, pp. 1528-1539.
Elsevier DOI 1103
Computer vision; Distributed systems; Mapping BibRef

Zhang, L., Hu, Y., Zhang, J., Li, Y.,
Multiview geometry in traditional vision and omnidirectional vision under the L_inf-norm,
IET-CV(6), No. 1, 2012, pp. 13-20.
DOI Link 1201
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Furukawa, Y.[Yasutaka], Hernández, C.[Carlos],
Multi-View Stereo: A Tutorial,
FTCGV(9), No. 1-2, 2015, pp. 1-148.
DOI Link Survey, Stereo, Multi-View. 1507
BibRef

Miyan, S.B.[Saba Batool], Sato, J.[Jun],
Reconstructing Sequential Patterns without Knowing Image Correspondences,
IEICE(E98-D), No. 7, July 2015, pp. 1343-1352.
WWW Link. 1508
BibRef
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Springer DOI 1304
series of colored 3D points. BibRef

Ylimaki, M.[Markus], Kannala, J.H.[Ju-Ho], Holappa, J.[Jukka], Brandt, S.S.[Sami S.], Heikkila, J.[Janne],
Fast and accurate multi-view reconstruction by multi-stage prioritised matching,
IET-CV(9), No. 4, 2015, pp. 576-587.
DOI Link 1509
BibRef
Earlier: A1, A2, A3, A5, A4:
Robust and accurate multi-view reconstruction by prioritized matching,
ICPR12(2673-2676).
WWW Link. 1302
image matching BibRef

Hou, Y.X.[Yu-Xin], Solin, A.[Arno], Kannala, J.H.[Ju-Ho],
Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation,
SCIA19(54-66).
Springer DOI 1906
BibRef

Ylimäki, M.[Markus], Kannala, J.H.[Ju-Ho], Heikkilä, J.[Janne],
Optimizing the Accuracy and Compactness of Multi-view Reconstructions,
CAIP15(II:171-183).
Springer DOI 1511
BibRef

Sakai, S.[Shuji], Ito, K.[Koichi], Aoki, T.[Takafumi], Watanabe, T.[Takafumi], Unten, H.[Hiroki],
Phase-Based Window Matching with Geometric Correction for Multi-View Stereo,
IEICE(E98-D), No. 10, October 2015, pp. 1818-1828.
WWW Link. 1511
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Sakai, S.[Shuji], Ito, K.[Koichi], Aoki, T.[Takafumi], Masuda, T.[Tomohito], Unten, H.[Hiroki],
An Efficient Image Matching Method for Multi-View Stereo,
ACCV12(IV:283-296).
Springer DOI 1304
BibRef

Harwin, S.[Steve], Lucieer, A.[Arko], Osborn, J.[Jon],
The Impact of the Calibration Method on the Accuracy of Point Clouds Derived Using Unmanned Aerial Vehicle Multi-View Stereopsis,
RS(7), No. 9, 2015, pp. 11933.
DOI Link 1511
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Zhu, Z.K.[Zhao-Kun], Stamatopoulos, C.[Christos], Fraser, C.S.[Clive S.],
Accurate and occlusion-robust multi-view stereo,
PandRS(109), No. 1, 2015, pp. 47-61.
Elsevier DOI 1512
Multi-view stereo BibRef

Kriegel, S.[Simon], Rink, C.[Christian], Bodenmüller, T.[Tim], Suppa, M.[Michael],
Efficient next-best-scan planning for autonomous 3D surface reconstruction of unknown objects,
RealTimeIP(10), No. 4, December 2015, pp. 611-631.
Springer DOI 1512
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Li, Z., Wang, K., Zuo, W., Meng, D., Zhang, L.,
Detail-Preserving and Content-Aware Variational Multi-View Stereo Reconstruction,
IP(25), No. 2, February 2016, pp. 864-877.
IEEE DOI 1601
Adaptation models BibRef

Nguyen, H.M.[Hoang Minh], Wünsche, B.[Burkhard], Delmas, P.[Patrice], Lutteroth, C.[Christof], Zhang, E.[Eugene],
A robust hybrid image-based modeling system,
VC(32), No. 5, May 2016, pp. 625-640.
Springer DOI 1605
3D models from sequence of unconstrained photos. BibRef

Kim, S.H., Tai, Y.W., Park, J., Kweon, I.S.,
Multi-View Object Extraction With Fractional Boundaries,
IP(25), No. 8, August 2016, pp. 3639-3654.
IEEE DOI 1608
cameras BibRef

Park, J.[Jaesik], Tai, Y.W.[Yu-Wing], Cho, D., Kweon, I.S.[In So],
A Unified Approach of Multi-scale Deep and Hand-Crafted Features for Defocus Estimation,
CVPR17(2760-2769)
IEEE DOI 1711
Discrete cosine transforms, Estimation, Feature extraction, Image edge detection, Neural networks, Robustness BibRef

Park, J.[Jaesik], Oh, T.H.[Tae Hyun], Jung, J.Y.[Ji-Young], Tai, Y.W.[Yu-Wing], Kweon, I.S.[In So],
A Tensor Voting Approach for Multi-View 3D Scene Flow Estimation and Refinement,
ECCV12(IV: 288-302).
Springer DOI 1210
BibRef

Hong, R.C.[Ri-Chang], Hu, Z.Z.[Zhen-Zhen], Wang, R.X.[Ru-Xin], Wang, M.[Meng], Tao, D.C.[Da-Cheng],
Multi-View Object Retrieval via Multi-Scale Topic Models,
IP(25), No. 12, December 2016, pp. 5814-5827.
IEEE DOI 1612
feature extraction BibRef

Nie, Y.M.[Yong-Ming], Yue, T.[Tao], Zhu, H.[Hao], Du, S.D.[Si-Dan], Cao, X.[Xun],
Robust multi-view stereo synthesized by various parameters model,
JVCIR(42), No. 1, 2017, pp. 183-191.
Elsevier DOI 1701
Multi-view stereo BibRef

Li, M.[Ming], Shi, L.[Li], Chen, X.D.[Xu-Dong], Du, S.D.[Si-Dan], Li, Y.[Yang],
Using Temporal Correlation to Optimize Stereo Matching in Video Sequences,
IEICE(E102-D), No. 6, June 2019, pp. 1183-1196.
WWW Link. 1906
BibRef

Robertini, N.[Nadia], Casas, D.[Dan], de Aguiar, E.[Edilson], Theobalt, C.[Christian],
Multi-view Performance Capture of Surface Details,
IJCV(124), No. 1, August 2016, pp. 96-113.
Springer DOI 1707
BibRef

Robertini, N.[Nadia], de Aguiar, E.[Edilson], Helten, T.[Thomas], Theobalt, C.[Christian],
Efficient Multi-view Performance Capture of Fine-Scale Surface Detail,
3DV14(5-12)
IEEE DOI 1503
Animation BibRef

Shibata, K.[Kazuki], Panahpour Teherani, M.[Mehrdad], Takahashi, K.[Keita], Fujii, T.[Toshiaki],
Estimation of Dense Displacement by Scale Invariant Polynomial Expansion of Heterogeneous Multi-View Images,
IEICE(E100-D), No. 9, September 2017, pp. 2048-2051.
WWW Link. 1709
BibRef

Zhao, H., Liu, H., Ding, Z., Fu, Y.,
Consensus Regularized Multi-View Outlier Detection,
IP(27), No. 1, January 2018, pp. 236-248.
IEEE DOI 1712
computer vision, image reconstruction, image representation, learning (artificial intelligence), optimisation, outlier detection BibRef

Palma, G.[Gianpaolo], Boubekeur, T.[Tamy], Ganovelli, F.[Fabio], Cignoni, P.[Paolo],
Scalable non-rigid registration for multi-view stereo data,
PandRS(142), 2018, pp. 328-341.
Elsevier DOI 1807
Non-rigid registration, Multi-view-stereo, Low-frequency deformation, Scalable implementation BibRef

Mostegel, C.[Christian], Fraundorfer, F.[Friedrich], Bischof, H.[Horst],
Prioritized multi-view stereo depth map generation using confidence prediction,
PandRS(143), 2018, pp. 167-180.
Elsevier DOI 1808
Multi-view stereo, Machine learning, Confidence measures, View prioritization, Image clustering, View cluster ranking BibRef

Mostegel, C.[Christian], Rumpler, M.[Markus], Fraundorfer, F.[Friedrich], Bischof, H.[Horst],
Using Self-Contradiction to Learn Confidence Measures in Stereo Vision,
CVPR16(4067-4076)
IEEE DOI 1612
Synthesizing training data. BibRef

Hu, J.W.[Jing-Wen], Xia, G.S.[Gui-Song], Sun, H.[Hong],
An SRTM-Aided Epipolar Resampling Method for Multi-Source High-Resolution Satellite Stereo Observation,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
Binocular stereo. BibRef

Wei, M.Q.A.[Meng-Qi-Ang], Yan, Q.[Qingan], Luo, F.[Fei], Song, C.F.[Cheng-Fang], Xiao, C.X.[Chun-Xia],
Joint bilateral propagation upsampling for unstructured multi-view stereo,
VC(35), No. 6-8, June 2018, pp. 797-809.
WWW Link. 1906
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Xue, T.F.[Tian-Fan], Owens, A.[Andrew], Scharstein, D.[Daniel], Goesele, M.[Michael], Szeliski, R.[Richard],
Multi-frame stereo matching with edges, planes, and superpixels,
IVC(91), 2019, pp. 103771.
Elsevier DOI 1912
Stereo, Edge matching, Superpixels, Plane fitting BibRef

Xu, Q.S.[Qing-Shan], Tao, W.B.[Wen-Bing],
Multi-Scale Geometric Consistency Guided Multi-View Stereo,
CVPR19(5478-5487).
IEEE DOI 2002
BibRef

Abdul, H.M.[Haseeb Muhammad], Danijela, R.D.[Ristic-Durrant], Axel, G.[Gräser], Milan, B.[Banic], Dušan, S.[Stamenkovic],
Multi-disnet: Machine Learning-based Object Distance Estimation from Multiple Cameras,
CVS19(457-469).
Springer DOI 1912
BibRef

Fuse, T., Ikezawa, H.,
Development of Multi-view Stereo Considering Accuracy of Exterior Orientation Elements,
Optical3D19(47-52).
DOI Link 1912
BibRef

Tatar, N., Arefi, H.,
Evaluation of Selected Cost Aggregation Methods On High Resolution Satellite Stereo Images,
SMPR19(1045-1050).
DOI Link 1912
BibRef

Mahphood, A., Arefi, H., Hosseininaveh, A., Naeini, A.A.,
Dense Multi-view Image Matching for DSM Generation From Satellite Images,
SMPR19(709-715).
DOI Link 1912
BibRef

Stathopoulou, E.K., Remondino, F.,
Multi-view Stereo With Semantic Priors,
CIPA19(1135-1140).
DOI Link 1912
BibRef

Dai, Y.C.[Yu-Chao], Zhu, Z.D.[Zhi-Dong], Rao, Z.B.[Zhi-Bo], Li, B.[Bo],
MVS2: Deep Unsupervised Multi-View Stereo with Multi-View Symmetry,
3DV19(1-8)
IEEE DOI 1911
Geometry, Measurement, Image reconstruction, Feature extraction, Training, Estimation, unsupervised learning BibRef

Armando, M., Franco, J., Boyer, E.,
Adaptive Mesh Texture for Multi-View Appearance Modeling,
3DV19(700-708)
IEEE DOI 1911
Solid modeling, Shape, Image coding, Image color analysis, Multi view stereo BibRef

Kuhn, A.[Andreas], Lin, S.[Shan], Erdler, O.[Oliver],
Plane Completion and Filtering for Multi-View Stereo Reconstruction,
GCPR19(18-32).
Springer DOI 1911
BibRef

Mélou, J.[Jean], Quéau, Y.[Yvain], Castan, F.[Fabien], Durou, J.D.[Jean-Denis],
A Splitting-Based Algorithm for Multi-view Stereopsis of Textureless Objects,
SSVM19(51-63).
Springer DOI 1909
BibRef

Mao, W.D.[Wen-Dong], Gong, M.L.[Ming-Lun], Huang, X.[Xin], Cai, H.[Hao], Yi, Z.L.[Zi-Li],
A Global-Matching Framework for Multi-View Stereopsis,
CAIP19(I:635-647).
Springer DOI 1909
BibRef

Truong, T.P.[Trong Phuc], Nozick, V.[Vincent], Saito, H.[Hideo],
Semi-independent Stereo Visual Odometry for Different Field of View Cameras,
3D-Wild18(I:430-442).
Springer DOI 1905
BibRef

Paschalidou, D.[Despoina], Ulusoy, A.O.[Ali Osman], Schmitt, C.[Carolin], van Gool, L.J.[Luc J.], Geiger, A.[Andreas],
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials,
CVPR18(3897-3906)
IEEE DOI 1812
Image reconstruction, Cameras, Solid modeling, Feature extraction, Geometry BibRef

Choi, S., Kim, S., park, K., Sohn, K.,
Learning Descriptor, Confidence, and Depth Estimation in Multi-view Stereo,
DeepSLAM18(389-3896)
IEEE DOI 1812
Estimation, Feature extraction, Training, Task analysis, Cameras, Reliability BibRef

Poms, A., Wu, C., Yu, S., Sheikh, Y.,
Learning Patch Reconstructability for Accelerating Multi-view Stereo,
CVPR18(3041-3050)
IEEE DOI 1812
Image reconstruction, Surface reconstruction, Acceleration, Pipelines, Neural networks BibRef

Huang, P., Matzen, K., Kopf, J., Ahuja, N., Huang, J.,
DeepMVS: Learning Multi-view Stereopsis,
CVPR18(2821-2830)
IEEE DOI 1812
Image reconstruction, Feature extraction, Decoding, Cameras, Training, Calibration, Semantics BibRef

Wang, K., Shen, S.,
MVDepthNet: Real-Time Multiview Depth Estimation Neural Network,
3DV18(248-257)
IEEE DOI 1812
computer vision, image motion analysis, neural nets, stereo image processing, MVDepthNet, Structure from motion and SLAM BibRef

Yao, Y.[Yao], Luo, Z.[Zixin], Li, S.[Shiwei], Shen, T.[Tianwei], Fang, T.[Tian], Quan, L.[Long],
Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference,
CVPR19(5520-5529).
IEEE DOI 2002
BibRef
Earlier: A1, A2, A3, A5, A6, Only:
MVSNet: Depth Inference for Unstructured Multi-view Stereo,
ECCV18(VIII: 785-801).
Springer DOI 1810
BibRef

Yodokawa, K., Ito, K., Aoki, T., Sakai, S., Watanabe, T., Masuda, T.,
Outlier and Artifact Removal Filters for Multi-View Stereo,
ICIP18(3638-3642)
IEEE DOI 1809
Image reconstruction, Cats, Dogs, Image color analysis, Shape, Cameras, 3D reconstruction, depth map, multi-view stereo BibRef

Engler, T., Wuensche, H.J.,
Recursive 3D scene estimation with multiple camera pairs,
IPTA17(1-6)
IEEE DOI 1804
cameras, recursive estimation, stereo image processing, camera positions, cameras disparities, Stereo Vision BibRef

Kaczmarek, A.L.,
Stereo camera upgraded to equal baseline multiple camera set (EBMCS),
3DTV-CON17(1-4)
IEEE DOI 1804
cameras, image sensors, optical radar, stereo image processing, 3D images, EBMCS, LIDAR, camera array, camera matrix, depth maps, stereo matching algorithm BibRef

Tian, H., Li, F.,
Accurate multi-view stereo by selective expansion,
3DTV-CON17(1-4)
IEEE DOI 1804
image reconstruction, stereo image processing, dense modeling, depth refinement process, multiview stereo method, selective expansion BibRef

Ebner, T., Schreer, O., Feldmann, I.,
Fully automated highly accurate 3D reconstruction from multiple views,
ICIP17(2528-2532)
IEEE DOI 1803
Cameras, Estimation, Image reconstruction, Pipelines, Solid modeling, Surface reconstruction, 3D modelling, surface reconstruction BibRef

Ji, M., Gall, J., Zheng, H., Liu, Y., Fang, L.,
SurfaceNet: An End-to-End 3D Neural Network for Multiview Stereopsis,
ICCV17(2326-2334)
IEEE DOI 1802
cameras, image representation, learning (artificial intelligence), neural nets, Training BibRef

Hartmann, W.[Wilfried], Galliani, S.[Silvano], Havlena, M.[Michal], Van Gool, L.J.[Luc J.], Schindler, K.[Konrad],
Learned Multi-patch Similarity,
ICCV17(1595-1603)
IEEE DOI 1802
Depth map from multiple views. convolution, image matching, image reconstruction, learning (artificial intelligence), neural nets, solid modelling, BibRef

Ji, P., Li, H., Dai, Y., Reid, I.D.[Ian D.],
Maximizing Rigidity Revisited: A Convex Programming Approach for Generic 3D Shape Reconstruction from Multiple Perspective Views,
ICCV17(929-937)
IEEE DOI 1802
convex programming, image motion analysis, image reconstruction, pose estimation, 3D reconstruction problems, 3D scene structure, BibRef

Schöps, T., Schönberger, J.L., Galliani, S., Sattler, T., Schindler, K., Pollefeys, M., Geiger, A.,
A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos,
CVPR17(2538-2547)
IEEE DOI 1711
Benchmark testing, Cameras, Image resolution, Lasers, Robot vision systems, Videos BibRef

Ulusoy, A.O., Black, M.J., Geiger, A.,
Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels,
CVPR17(4531-4540)
IEEE DOI 1711
Cameras, Image reconstruction, Probabilistic logic, Semantics, Shape, Solid modeling, BibRef

Bourki, A.[Amine], de La Gorce, M.[Martin], Marlet, R.[Renaud], Komodakis, N.[Nikos],
Patchwork Stereo: Scalable, Structure-Aware 3D Reconstruction in Man-Made Environments,
WACV17(292-301)
IEEE DOI 1609
Calibration, Feature extraction, Image reconstruction, Image segmentation, Robustness, Two, dimensional, displays BibRef

Cosmox, L.[Luca], Albarelli, A.[Andrea], Bergamasco, F.[Filippo], Torsello, A.[Andrea], Rodolà, E.[Emanuele], Cremers, D.[Daniel],
A game-theoretical approach for joint matching of multiple feature throughout unordered images,
ICPR16(3715-3720)
IEEE DOI 1705
Feature extraction, Game theory, Games, Pattern matching, Sociology, Statistics, Three-dimensional, displays BibRef

Pistellato, M.[Mara], Albarelli, A.[Andrea], Bergamasco, F.[Filippo], Torsello, A.[Andrea],
Robust joint selection of camera orientations and feature projections over multiple views,
ICPR16(3703-3708)
IEEE DOI 1705
3D reconstruction from multiple views. Cameras, Labeling, Reliability, Sociology, Statistics, Transforms BibRef

Loop, C.[Charles], Cai, Q.[Qin], Orts-Escolano, S.[Sergio], Chou, P.A.[Philip A.],
A Closed-Form Bayesian Fusion Equation Using Occupancy Probabilities,
3DV16(380-388)
IEEE DOI 1701
Bayes methods BibRef

Locher, A.[Alex], Havlena, M.[Michal], Van Gool, L.J.[Luc J.],
Progressive 3D Modeling All the Way,
3DV16(11-18)
IEEE DOI 1701
image motion analysis BibRef

Savinov, N.[Nikolay], Häne, C.[Christian], Ladický, L.[L'ubor], Pollefeys, M.[Marc],
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint,
CVPR16(5460-5469)
IEEE DOI 1612
BibRef

Ulusoy, A.O.[Ali Osman], Black, M.J.[Michael J.], Geiger, A.[Andreas],
Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction,
CVPR16(3280-3289)
IEEE DOI 1612
BibRef

Schönberger, J.L.[Johannes L.], Zheng, E.[Enliang], Frahm, J.M.[Jan-Michael], Pollefeys, M.[Marc],
Pixelwise View Selection for Unstructured Multi-View Stereo,
ECCV16(III: 501-518).
Springer DOI 1611
BibRef

Langguth, F.[Fabian], Sunkavalli, K.[Kalyan], Hadap, S.I.[Sun-Il], Goesele, M.[Michael],
Shading-Aware Multi-view Stereo,
ECCV16(III: 469-485).
Springer DOI 1611
BibRef

Bignoli, A., Romanoni, A., Matteucci, M., di Milano, P.,
Multi-view Stereo 3D Edge Reconstruction,
WACV18(867-875)
IEEE DOI 1806
graph theory, image reconstruction, image sequences, stereo image processing, EdgeGraph3D, Video sequences BibRef

Romanoni, A., Matteucci, M.,
A Data-Driven Prior on Facet Orientation for Semantic Mesh Labeling,
3DV18(662-671)
IEEE DOI 1812
image classification, image segmentation, Markov processes, mesh generation, Markov random field, orientation prior BibRef

Romanoni, A., Ciccone, M., Visin, F., Matteucci, M.,
Multi-view Stereo with Single-View Semantic Mesh Refinement,
3DSemantics17(706-715)
IEEE DOI 1802
Image reconstruction, Image segmentation, Labeling, Semantics, Solid modeling, BibRef

Romanoni, A., Delaunoy, A., Pollefeys, M., Matteucci, M.,
Automatic 3D reconstruction of manifold meshes via delaunay triangulation and mesh sweeping,
WACV16(1-8)
IEEE DOI 1606
Cameras BibRef

Fujiwara, K.[Kent], Mori, M.[Minoru], Kashino, K.[Kunio],
Unsupervised categorical shape reconstruction through manifolds,
WACV16(1-8)
IEEE DOI 1606
Cameras. Without manual point correspondence. BibRef

Tron, R., Zhou, X.W.[Xiao-Wei], Esteves, C., Daniilidis, K.[Kostas],
Fast Multi-image Matching via Density-Based Clustering,
ICCV17(4077-4086)
IEEE DOI 1802
convex programming, feature extraction, image matching, iterative methods, pattern clustering, QuickMatch, Graph theory BibRef

Zhou, X.W.[Xiao-Wei], Zhu, M.L.[Meng-Long], Daniilidis, K.[Kostas],
Multi-image Matching via Fast Alternating Minimization,
ICCV15(4032-4040)
IEEE DOI 1602
Computational modeling BibRef

Zivanov, J.[Jasenko], Vetter, T.[Thomas],
Multiview Reconstruction of Complex Organic Shapes,
BMVC15(xx-yy).
DOI Link 1601
narrow baseline multiview stereo BibRef

Suominen, O.[Olli], Gotchev, A.[Atanas],
Efficient cost volume sampling for plane sweeping based multiview depth estimation,
ICIP15(1075-1079)
IEEE DOI 1512
Depth estimation; cost volume; multi-view; plane sweeping BibRef

Ghasemi, A.[Alireza], Scholefield, A.[Adam], Vetterli, M.[Martin],
On the accuracy of point localisation in a circular camera-array,
ICIP15(981-985)
IEEE DOI 1512
Image sampling BibRef

Schöning, J.[Julius], Heidemann, G.[Gunther],
Evaluation of Multi-view 3D Reconstruction Software,
CAIP15(II:450-461).
Springer DOI 1511
Evaluation, Multiview. BibRef

Manfredi, G.[Guido], Devy, M.[Michel], Sidobre, D.[Daniel],
Textured Object Recognition: Balancing Model Robustness and Complexity,
CAIP15(I:52-63).
Springer DOI 1511
ASIFT descriptor. Use robust descriptors and a small number of views for best results. BibRef

Pistellato, M.[Mara], Bergamasco, F.[Filippo], Albarelli, A.[Andrea], Torsello, A.[Andrea],
Dynamic Optimal Path Selection for 3D Triangulation with Multiple Cameras,
CIAP15(I:468-479).
Springer DOI 1511
BibRef

Vlasov, V.V.[Vitaly V.], Konovalov, A.B.[Alexander B.], Uglov, A.S.[Alexander S.],
Few-Views Image Reconstruction with SMART and an Allowance for Contrast Structure Shadows,
CAIP15(I:667-677).
Springer DOI 1511
BibRef

Chhatkuli, S., Satoh, T., Tachibana, K.,
Multi Sensor Data Integration for an Accurate 3D Model Generation,
Seamless15(103-106).
DOI Link 1508
BibRef

Xiong, J., Zhong, S., Zheng, L.,
An automatic 3D Reconstruction Method Based on Multi-View Stereo Vision for the Mogao Grottoes,
Seamless15(171-176).
DOI Link 1508
BibRef

Sølund, T.[Thomas], Savarimuthu, T.R.[Thiusius Rajeeth], Buch, A.G.[Anders Glent], Beck, A.B.[Anders Billesø], Krüger, N.[Norbert], Aanæs, H.[Henrik],
Teach it Yourself: Fast Modeling of Industrial Objects for 6D Pose Estimation,
CVS15(289-302).
Springer DOI 1507
Generate 3D model by placing the object in 2 different positions. BibRef

Faulhammer, T.[Thomas], Zillich, M.[Michael], Vincze, M.[Markus],
Multi-view hypotheses transfer for enhanced object recognition in clutter,
MVA15(10-13)
IEEE DOI 1507
Cameras BibRef

Oki, Y.[Yoshinori], Visentini-Scarzanella, M.[Marco], Wada, T.[Tomohito], Furukawa, R.[Ryo], Sagawa, R.[Ryusuke], Kawasaki, H.[Hiroshi],
Entire shape scan system with multiple pro-cams using texture information and accurate silhouette creating technique,
MVA15(18-21)
IEEE DOI 1507
Accuracy BibRef

Hafner, D.[David], Schroers, C.[Christopher], Weickert, J.[Joachim],
Introducing Maximal Anisotropy into Second Order Coupling Models,
GCPR15(79-90).
Springer DOI 1511
BibRef
Earlier: A2, A1, A3:
Multiview Depth Parameterisation with Second Order Regularisation,
SSVM15(551-562).
Springer DOI 1506
BibRef

Cui, Z., Gu, J., Shi, B., Tan, P., Kautz, J.,
Polarimetric Multi-view Stereo,
CVPR17(369-378)
IEEE DOI 1711
Azimuth, Cameras, Estimation, Lighting, Shape, Surface reconstruction BibRef

Doron, Y.[Yotam], Campbell, N.D.F.[Neill D. F.], Starck, J.[Jonathan], Kautz, J.[Jan],
User Directed Multi-view-stereo,
UCCV14(299-313).
Springer DOI 1504
BibRef

Galindo, P.[Patricio], Zayer, R.[Rhaleb],
Distortion Driven Variational Multi-view Reconstruction,
3DV14(649-656)
IEEE DOI 1503
Area measurement BibRef

Uh, Y.J.[Young-Jung], Matsushita, Y.[Yasuyuki], Byun, H.R.[Hye-Ran],
Efficient Multiview Stereo by Random-Search and Propagation,
3DV14(393-400)
IEEE DOI 1503
Accuracy BibRef

Chen, W.F.[Wei-Feng], Zhang, G.[Guofeng], Xiang, X.J.[Xiao-Jun], Jia, J.Y.[Jia-Ya], Bao, H.J.[Hu-Jun],
High-Quality Depth Recovery via Interactive Multi-view Stereo,
3DV14(329-336)
IEEE DOI 1503
Cameras BibRef

Raj, R.G.[Raghu G.], Bovik, A.C.[Alan C.],
A hierarchical Bayesian-map approach to computational imaging,
ICIP14(1337-1341)
IEEE DOI 1502
Bayes methods BibRef

Ismael, M.[Muhannad], Prevost, S.[Stephanie], Loscos, C.[Celine], Remion, Y.[Yannick],
Materiality maps: A novel scene-based framework for direct multi-view stereovision reconstruction,
ICIP14(5467-5471)
IEEE DOI 1502
Cameras BibRef

Max, N.[Nelson], Kim, H.[Hyojin],
Optimization of Plane Fits to Image Segments in Multi-view Stereo,
WACV15(1130-1136)
IEEE DOI 1503
Cost function BibRef

Kim, H.[Hyojin], Xiao, H.[Hong], Max, N.[Nelson],
Piecewise Planar Scene Reconstruction and Optimization for Multi-view Stereo,
ACCV12(IV:191-204).
Springer DOI 1304
BibRef

Yamao, S.[Sosuke], Miura, M.[Mamoru], Sakai, S.[Shuji], Ito, K.[Koichi], Aoki, T.[Takafumi],
A Sequential Online 3D Reconstruction System Using Dense Stereo Matching,
WACV15(341-348)
IEEE DOI 1503
Accuracy BibRef

Svarm, L.[Linus], Simayijiang, Z.[Zhayida], Enqvist, O.[Olof], Olsson, C.[Carl],
Point track creation in unordered image collections using Gomory-Hu trees,
ICPR12(2116-2119).
WWW Link. 1302
multi-view stereo reconstructions BibRef

Fukushi, M.[Masaru], Sekiguchi, N.[Naoki], Abe, T.[Toru],
Parallelization of voxel based multiview stereo for arbitrarily configured viewpoints,
ICIP12(1701-1704).
IEEE DOI 1302
BibRef

Xu, M.[Ming], Ren, J.[Jie], Chen, D.Y.[Dong-Yong], Smith, J.S.[Jeremy S.], Wang, G.F.[Gui-Fen],
Real-time detection via homography mapping of foreground polygons from multiple cameras,
ICIP11(3593-3596).
IEEE DOI 1201
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3D Line Segment Detection for Unorganized Point Clouds from Multi-view Stereo,
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Narrow Baseline GLSL Multiview Stereo,
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CVPR10(2769-2776).
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IC3D14(1-7)
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Asymmetrical Occlusion Handling Using Graph Cut for Multi-View Stereo,
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IEEE DOI 0507
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PCV02(B: 161). 0305
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Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Large Scale Multi-View Stereo, Internet Scale .