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

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

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.
WWW Link. 1103
BibRef

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

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
Earlier: ACCV12(IV:484-496).
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
BibRef

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
BibRef

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,
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computer vision, image reconstruction, image representation, learning (artificial intelligence), optimisation, outlier detection BibRef

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Elsevier DOI 1807
Non-rigid registration, Multi-view-stereo, Low-frequency deformation, Scalable implementation 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,
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IVC(91), 2019, pp. 103771.
Elsevier DOI 1912
Stereo, Edge matching, Superpixels, Plane fitting BibRef

Yang, H., Chen, P., Chen, K., Lee, C., Chen, Y.,
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IEEE DOI 2007
Feature extraction, Estimation, Image reconstruction, Cameras, Visualization, plane sweep algorithm BibRef

Chen, P., Yang, H., Chen, K., Chen, Y.,
MVSNet++: Learning Depth-Based Attention Pyramid Features for Multi-View Stereo,
IP(29), 2020, pp. 7261-7273.
IEEE DOI 2007
Feature extraction, Solid modeling, Computational modeling, Image reconstruction, Estimation, Training, plane sweep algorithm BibRef

Scholefield, A.[Adam], Ghasemi, A.[Alireza], Vetterli, M.[Martin],
Bound and Conquer: Improving Triangulation by Enforcing Consistency,
PAMI(42), No. 9, September 2020, pp. 2321-2326.
IEEE DOI 2008
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On the accuracy of point localisation in a circular camera-array,
ICIP15(981-985)
IEEE DOI 1512
Cameras, Uncertainty, Biological system modeling, Matrix decomposition, Geometry, Computational modeling, triangulation. Image sampling BibRef

Xiang, X.[Xiang], Wang, Z.[Zhiyuan], Lao, S.S.[Shan-Shan], Zhang, B.C.[Bao-Chang],
Pruning multi-view stereo net for efficient 3D reconstruction,
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Elsevier DOI 2009
Multi-view stereo, 3D reconstruction, Deep learning, Network pruning, Efficiency BibRef

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Ideals of the Multiview Variety,
PAMI(43), No. 4, April 2021, pp. 1279-1292.
IEEE DOI 2103
Cameras, Algebra, Optimization, Computer vision, Kernel, Terminology, Google, Projective geometry, structure-from-motion, nonlinear algebra BibRef

Stathopoulou, E.K.[Elisavet Konstantina], Battisti, R.[Roberto], Cernea, D.[Dan], Remondino, F.[Fabio], Georgopoulos, A.[Andreas],
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Chen, R.[Rui], Han, S.F.[Song-Fang], Xu, J.[Jing], Su, H.[Hao],
Visibility-Aware Point-Based Multi-View Stereo Network,
PAMI(43), No. 10, October 2021, pp. 3695-3708.
IEEE DOI 2109
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Point-Based Multi-View Stereo Network,
ICCV19(1538-1547)
IEEE DOI 2004
Code, Stereo.
WWW Link. Image reconstruction, Geometry, Task analysis, Aggregates, 3D deep learning. computational geometry, image motion analysis, image texture, iterative methods, Feature extraction BibRef

Oestreich, C.[Charles], Espinoza, A.T.[Antonio Terán], Todd, J.[Jessica], Albee, K.[Keenan], Linares, R.[Richard],
On-Orbit Inspection of an Unknown, Tumbling Target using NASA's Astrobee Robotic Free-Flyers,
AI4Space21(2039-2047)
IEEE DOI 2109
Space vehicles, Heuristic algorithms, Robot vision systems, Inspection, Extraterrestrial measurements, International Space Station BibRef

Fujitomi, T.[Taku], Ito, S.[Seiya], Kaneko, N.[Naoshi], Sumi, K.[Kazuhiko],
Bi-directional Recurrent MVSNet for High-resolution Multi-view Stereo,
MVA21(1-5)
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Aggregates, Memory management, Bidirectional control, Benchmark testing, Network architecture BibRef

Zhang, X.D.[Xu-Dong], Hu, Y.[Yutao], Wang, H.[Haochen], Cao, X.B.[Xian-Bin], Zhang, B.C.[Bao-Chang],
Long-range Attention Network for Multi-View Stereo,
WACV21(3781-3790)
IEEE DOI 2106
Geometry, Aggregates, Benchmark testing, Robustness, Image reconstruction BibRef

Doi, T.[Takuma], Okura, F.[Fumio], Nagahara, T.[Toshiki], Matsushita, Y.[Yasuyuki], Yagi, Y.S.[Yasu-Shi],
Descriptor-free Multi-view Region Matching for Instance-wise 3d Reconstruction,
ACCV20(V:581-599).
Springer DOI 2103
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Goel, P.[Purvi], Cohen, L.[Loudon], Guesman, J.[James], Thamizharasan, V.[Vikas], Tompkin, J.[James], Ritchie, D.[Daniel],
Shape from Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing,
3DV20(1186-1195)
IEEE DOI 2102
Image reconstruction, Geometry, Lighting, Optimization, Surface reconstruction, Rendering (computer graphics), Shape, Mesh models BibRef

Sormann, C., Knöbelreiter, P., Kuhn, A., Rossi, M., Pock, T., Fraundorfer, F.,
BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo,
3DV20(394-403)
IEEE DOI 2102
Feature extraction, Memory management, Mathematical model, Belief propagation, Tensors, depth estimation BibRef

Cassidy, M., Mélou, J., Quéau, Y., Lauze, F., Durou, J.D.,
Refractive Multi-view Stereo,
3DV20(384-393)
IEEE DOI 2102
Cameras, Shape, Optical refraction, Optical imaging, Geometry, Refractive index, Image reconstruction, 3Dreconstruction, Refraction BibRef

Nietiedt, S., Kalinowski, P., Hastedt, H., Luhmann, T.,
Accuracy Investigations of Image Matching Techniques By Means of A Textured Dumbbell Artefact,
ISPRS20(B2:791-796).
DOI Link 2012
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Mat Amin, M.A., Abdullah, S., Abdul fMukti, S.N., Mohd Zaidi, M.H.A., Tahar, K.N.,
Reconstruction of 3D Accident Scene From Multirotor UAV Platform,
ISPRS20(B2:451-458).
DOI Link 2012
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Lanz, O., Sottsas, F., Conni, M., Boschetti, M., Nocerino, E., Menna, F., Remondino, F.,
A Versatile Multi-camera System for 3d Acquisition and Modeling,
ISPRS20(B2:785-790).
DOI Link 2012
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Zhu, X., Pang, G., Chen, C.,
Research and Application of Historical 3D Modeling Based on Archived Non-oblique Aerial Photos,
ISPRS20(B2:555-560).
DOI Link 2012
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Chen, J.X.[Jia-Xin], Qin, J.[Jie], Shen, Y.M.[Yu-Ming], Liu, L.[Li], Zhu, F.[Fan], Shao, L.[Ling],
Learning Attentive and Hierarchical Representations for 3D Shape Recognition,
ECCV20(XV:105-122).
Springer DOI 2011
Hyperbolic Embedded Attentive Representation (HEAR). BibRef

Yi, H.W.[Hong-Wei], Wei, Z.Z.[Zi-Zhuang], Ding, M.Y.[Ming-Yu], Zhang, R.Z.[Run-Ze], Chen, Y.S.[Yi-Song], Wang, G.P.[Guo-Ping], Tai, Y.W.[Yu-Wing],
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation,
ECCV20(IX:766-782).
Springer DOI 2011
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Yan, J.F.[Jian-Feng], Wei, Z.Z.[Zi-Zhuang], Yi, H.W.[Hong-Wei], Ding, M.Y.[Ming-Yu], Zhang, R.Z.[Run-Ze], Chen, Y.S.[Yi-Song], Wang, G.P.[Guo-Ping], Tai, Y.W.[Yu-Wing],
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking,
ECCV20(IV:674-689).
Springer DOI 2011
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Chen, D.[Di], Wu, Y.[Yi],
Exploring the Properties of Points Generation Network,
ICIVC20(272-277)
IEEE DOI 2009
Image reconstruction, Shape, Training, Machine learning, Market research, Telephone sets, point cloud generation BibRef

Luo, K., Guan, T., Ju, L., Wang, Y., Chen, Z., Luo, Y.,
Attention-Aware Multi-View Stereo,
CVPR20(1587-1596)
IEEE DOI 2008
Feature extraction, Robustness, Measurement, Surface reconstruction, Task analysis, Estimation BibRef

Mustikovela, S.K.[Siva Karthik], Jampani, V.[Varun], de Mello, S.[Shalini], Liu, S.F.[Si-Fei], Iqbal, U.[Umar], Rother, C.[Carsten], Kautz, J.[Jan],
Self-Supervised Viewpoint Learning From Image Collections,
CVPR20(3970-3980)
IEEE DOI 2008
Estimation, Automobiles, Head, Training, Image reconstruction BibRef

Navaneet, K.L., Mathew, A.[Ansu], Kashyap, S.[Shashank], Hung, W.C.[Wei-Chih], Jampani, V.[Varun], Babu, R.V.[R. Venkatesh],
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks,
CVPR20(1129-1137)
IEEE DOI 2008
Image reconstruction, Solid modeling, Training, Cameras, Computer vision BibRef

Innmann, M., Kim, K., Gu, J., Nießner, M., Loop, C., Stamminger, M., Kautz, J.,
NRMVS: Non-Rigid Multi-View Stereo,
WACV20(2743-2752)
IEEE DOI 2006
Strain, Image reconstruction, Cameras, Surface reconstruction, Optimization, Dynamics BibRef

He, X.W.[Xin-Wei], Huang, T.T.[Teng-Teng], Bai, S.[Song], Bai, X.[Xiang],
View N-Gram Network for 3D Object Retrieval,
ICCV19(7514-7523)
IEEE DOI 2004
image representation, image retrieval, image sequences, learning (artificial intelligence), Computational modeling BibRef

Xu, X.Y.[Xiang-Yu], Dunn, E.[Enrique],
Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction,
ICCV19(1548-1557)
IEEE DOI 2004
From multiple, diverse imagery. convex programming, geometry, graph theory, image motion analysis, image reconstruction, image segmentation, Optimization BibRef

Esteves, C., Xu, Y., Allec-Blanchette, C., Daniilidis, K.,
Equivariant Multi-View Networks,
ICCV19(1568-1577)
IEEE DOI 2004
computer vision, convolutional neural nets, group theory, image classification, image representation, image retrieval, Solid modeling BibRef

Hou, Y., Kannala, J., Solin, A.,
Multi-View Stereo by Temporal Nonparametric Fusion,
ICCV19(2651-2660)
IEEE DOI 2004
Gaussian processes, image coding, image fusion, pose estimation, stereo image processing, scaling Gaussian process inference, Encoding BibRef

Xie, H., Yao, H., Sun, X., Zhou, S., Zhang, S.,
Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi-View Images,
ICCV19(2690-2698)
IEEE DOI 2004
feature extraction, image coding, image colour analysis, image fusion, image reconstruction, image representation, Kernel BibRef

Gupta, K., Jabbireddy, S., Shah, K., Shrivastava, A., Zwicker, M.,
Improved Modeling of 3D Shapes with Multi-view Depth Maps,
3DV20(71-80)
IEEE DOI 2102
Shape, Solid modeling, Convolution, Generators, Image reconstruction, reconstruction BibRef

Hu, T.[Tao], Lin, G.[Geng], Han, Z.Z.[Zhi-Zhong], Zwicker, M.[Matthias],
Learning to Generate Dense Point Clouds with Textures on Multiple Categories,
WACV21(2169-2178)
IEEE DOI 2106
Geometry, Shape, Pipelines, Reconstruction algorithms, Topology BibRef

Hu, T.[Tao], Han, Z.Z.[Zhi-Zhong], Shrivastava, A., Zwicker, M.[Matthias],
Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion,
GMDL19(4114-4122)
IEEE DOI 2004
image representation, rendering (computer graphics), render4completion, volumetric representations, point clouds, 3D vision BibRef

Jaritz, M., Gu, J., Su, H.,
Multi-View PointNet for 3D Scene Understanding,
GMDL19(3995-4003)
IEEE DOI 2004
feature extraction, image fusion, image reconstruction, image representation, image segmentation, solid modelling, Point Cloud BibRef

Lee, M., Um, G., Yun, J., Cheong, W., Park, S.,
Disparity Refinement with Guided Filtering of Soft 3D Cost Function in Multi-view Stereo System,
IVCNZ19(1-5)
IEEE DOI 2004
edge detection, Gaussian processes, image colour analysis, image filtering, image matching, image reconstruction, probability, Guide filter BibRef

Xue, Y., Chen, J., Wan, W., Huang, Y., Yu, C., Li, T., Bao, J.,
MVSCRF: Learning Multi-View Stereo With Conditional Random Fields,
ICCV19(4311-4320)
IEEE DOI 2004
learning (artificial intelligence), random processes, recurrent neural nets, stereo image processing, MVSCRF, Semantics BibRef

Romanoni, A., Matteucci, M.,
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo,
ICCV19(10412-10421)
IEEE DOI 2004
image filtering, image fusion, image matching, image reconstruction, image resolution, image texture, Image edge detection BibRef

Luo, K., Guan, T., Ju, L., Huang, H., Luo, Y.,
P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo,
ICCV19(10451-10460)
IEEE DOI 2004
convolutional neural nets, feature extraction, image matching, image reconstruction, learning (artificial intelligence), Surface texture BibRef

Birdal, T.[Tolga], Simsekli, U.[Umut],
Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope,
CVPR19(11097-11108).
IEEE DOI 2002
synchronization of correspondences across multiple sets of objects. 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
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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
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Fuse, T., Ikezawa, H.,
Development of Multi-view Stereo Considering Accuracy of Exterior Orientation Elements,
Optical3D19(47-52).
DOI Link 1912
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Tatar, N., Arefi, H.,
Evaluation of Selected Cost Aggregation Methods On High Resolution Satellite Stereo Images,
SMPR19(1045-1050).
DOI Link 1912
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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
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Stathopoulou, E.K., Remondino, F.,
Multi-view Stereo With Semantic Priors,
CIPA19(1135-1140).
DOI Link 1912
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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
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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
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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
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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.[Thomas], Schönberger, J.L.[Johannes L.], Galliani, S.[Silvano], Sattler, T.[Torsten], Schindler, K.[Konrad], Pollefeys, M.[Marc], Geiger, A.[Andreas],
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.[Andrea], Matteucci, M.[Matteo],
Facetwise Mesh Refinement for Multi- View Stereo,
ICPR21(6794-6801)
IEEE DOI 2105
Manifolds, Geometry, Pipelines, Maintenance engineering, Cameras, Cognition BibRef

Romanoni, A., Ciccone, M., Visin, F., Matteucci, M.,
Multi-view Stereo with Single-View Semantic Mesh Refinement,
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ICCV17(4077-4086)
IEEE DOI 1802
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ICCV15(4032-4040)
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Teach it Yourself: Fast Modeling of Industrial Objects for 6D Pose Estimation,
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Faulhammer, T.[Thomas], Zillich, M.[Michael], Vincze, M.[Markus],
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Entire shape scan system with multiple pro-cams using texture information and accurate silhouette creating technique,
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CVPR17(369-378)
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3DV14(649-656)
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Efficient Multiview Stereo by Random-Search and Propagation,
3DV14(393-400)
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High-Quality Depth Recovery via Interactive Multi-view Stereo,
3DV14(329-336)
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Raj, R.G.[Raghu G.], Bovik, A.C.[Alan C.],
A hierarchical Bayesian-map approach to computational imaging,
ICIP14(1337-1341)
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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,
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Max, N.[Nelson], Kim, H.[Hyojin],
Optimization of Plane Fits to Image Segments in Multi-view Stereo,
WACV15(1130-1136)
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Piecewise Planar Scene Reconstruction and Optimization for Multi-view Stereo,
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Yamao, S.[Sosuke], Miura, M.[Mamoru], Sakai, S.[Shuji], Ito, K.[Koichi], Aoki, T.[Takafumi],
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WACV15(341-348)
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Svarm, L.[Linus], Simayijiang, Z.[Zhayida], Enqvist, O.[Olof], Olsson, C.[Carl],
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Ren, J.[Jie], Xu, M.[Ming], Smith, J.S.[Jeremy S.],
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Hu, X.Y.[Xiao-Yan], Mordohai, P.[Philippos],
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Dai, Z.J.[Zhi-Jun], Wu, Y.H.[Yi-Hong], Zhang, F.J.[Feng-Jun], Wang, H.A.[Hong-An],
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Song, R.[Ran], Liu, Y.H.[Yong-Huai], Martin, R.R., Rosin, P.L.,
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IEEE DOI 1109
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Chen, T.W.[Ting-Wang], Wang, Q.[Qing],
3D Line Segment Detection for Unorganized Point Clouds from Multi-view Stereo,
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ECCV98(II: 829).
Springer DOI BibRef 9800

Peleg, S.[Shmuel], Shashua, A.[Amnon], Weinshall, D.[Daphna], Werman, M.[Michael], Irani, M.[Michal],
Multi-Sensor Representation of Extended Scenes Using Multi-View Geometry,
DARPA98(57-61). BibRef 9800
And: DARPA97(79-84). Aircraft views. Map according to how things can fly. Is it under mosaics?? BibRef

Ahmed, M., Eid, A.[Ahmed], Farag, A.[Aly],
3-D Reconstruction of the Human Jaw Using Space Carving,
ICIP01(II: 323-326).
IEEE DOI 0108
BibRef

Ahmed, M., Yamany, S., Hemayed, E., Ahmed, S., Roberts, S., Faraq, A.,
3D Reconstruction of the Human Jaw from a Sequence of Images,
CVPR97(646-653).
IEEE Abstract.
IEEE DOI 9704
BibRef

Nakamura, Y.[Yuichi], Matsura, T.[Tomohiko], Satoh, K.[Kiyohide], and Ohta, Y.[Yuichi],
Occlusion Detectable Stereo -- Occlusion Patterns in Camera Matrix,
CVPR96(371-378).
IEEE Abstract.
IEEE DOI BibRef 9600

Chen, J.[Jin],
The Use of Multiple Cameras and Geometric Constraints for 3-D Measurement,
Ph.D.Thesis, 1996. Engineering Surveying Research Centre, School of Engineering City University, London. Photogrammetric analysis for using multiple cameras. Incomplete FTP information given in reference. BibRef 9600

Bess, R.[Ruediger], Paulus, D., Niemann, H.,
3D Recovery Using Calibrated Active Camera,
ICIP96(II: 855-858).
IEEE DOI
HTML Version. BibRef 9600

Robert, L., Deriche, R.,
Dense Depth Map Reconstruction: A Minimization and Regularization Approach which Preserves Discontinuities,
ECCV96(I:439-451).
Springer DOI Combine results from multiple images. BibRef 9600

Anandan, P., Hanna, K.J., and Kumar, R.,
Shape Recovery from Multiple Views: A Parallax Based Approach,
ARPA94(II:947-955). BibRef 9400
And: ICPR94(A:685-688).
IEEE DOI BibRef

Anandan, P.[Padmanabhan], Irani, M.[Michal],
Method and apparatus for three-dimensional scene processing using parallax geometry of pairs of points,
US_Patent6,192,145, Feb 20, 2001
WWW Link. BibRef 0102
Earlier: A2, A1:
Parallax Geometry of Pairs of Points for 3D Scene Analysis,
ECCV96(I:17-30).
Springer DOI BibRef
And: A2, A1: David SarnoffResearch Center, TR, October 1995. Relation between the image motion of pairs of points over multiple frames. Uses the reference plane. BibRef

de Jong, J.J., Buurman, J.,
Learning 3D Object Descriptions from a Set of Stereo Vision Observations,
ICPR92(I:768-771).
IEEE DOI BibRef 9200

Buurman, J.[Johannes],
Ellipse based stereo vision,
ECCV92(363-367).
Springer DOI 9205
BibRef

Maruya, M., Nemoto, K., Takashima, Y.,
Texture Based 3-D Shape Reconstruction from Multiple Stereo Images,
ICPR92(I:137-140).
IEEE DOI BibRef 9200

Kim, H.S., Jain, R.C., and Volz, R.A.,
Object Recognition Using Multiple Views,
CRA85(28-33). BibRef 8500

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Large Scale Multi-View Stereo, Internet Scale, Many Views .