10.6.5 Multi-Baseline Stereo, Multibaseline Stereo

Chapter Contents (Back)
Multibaseline Stereo.

Okutomi, M., and Kanade, T.,
A Multiple-Baseline Stereo,
PAMI(15), No. 4, April 1993, pp. 353-363.
IEEE Abstract.
IEEE DOI BibRef 9304
Earlier: CVPR91(63-69).
IEEE DOI BibRef
And: CMU-CS-TR-90-189, November 1990, CMU CS Dept. By using multiple pairs with different baselines the precision of the stereo distance computation is improved. BibRef

Nakahara, T., and Kanade, T.,
Experiments in Multiple-Baseline Stereo,
CMU-CS-TR-93-102, CMU CS Dept., August 1993. Analysis of the Okutomi and Kanade stereo work. BibRef 9308

Kanade, T., Okutomi, M., and Nakahara, T.,
A Multiple-Baseline Stereo Method,
DARPA92(409-426). Use multiple baselines to improve the results, sum the correct matches where a zero implies a correct match and find minimum. The first 2 authors did the part on the theory, the first and last did the part on experiments on real data. BibRef 9200

Beadles, R.L.[Robert L.], Greene, H.A.[Henry A.], Pekar, J.[Jaroslaw],
Method and apparatus for measuring range by use of multiple range baselines,
US_Patent5,374,985, Dec 20, 1994
WWW Link. BibRef 9412

Xu, G.[Gang], Tsuji, S., and Asada, M.,
Coarse to Fine Control Strategy for Matching Motion Stereo Pairs,
PAMI(9), No. 2, March 1987, pp. 332-336. BibRef 8703
Earlier: IJCAI85(892-894). Slider stereo, from a short baseline to a long baseline. The disparity is small in the first and large in the last. BibRef

Tsuji, S., Zheng, J., Asada, M.,
Stereo Vision of a Mobile Robot: World Constraints for Image Matching and Interpretation,
CRA86(1594-1599). BibRef 8600

Tsuji, S., Li, S.,
Making Cognitive Map of Outdoor Environment,
IJCAI93(1632-1638). BibRef 9300

Roy, S.[Sébastien],
Stereo Without Epipolar Lines: A Maximum-Flow Formulation,
IJCV(34), No. 2-3, August 1999, pp. 147-161.
DOI Link
See also Maximum Flow Approach to the Volumetric Reconstruction Problem, A. BibRef 9908

Drouin, M.A.[Marc-Antoine], Trudeau, M.[Martin], Roy, S.[Sébastien],
Improving Border Localization of Multi-Baseline Stereo Using Border-Cut,
IJCV(83), No. 3, July 2009, pp. xx-yy.
Springer DOI 0904
BibRef
Earlier: CVPR06(I: 511-518).
IEEE DOI 0606
BibRef
And:
Non-Uniform Hierarchical Geo-consistency for Multi-baseline Stereo,
CRV07(208-215).
IEEE DOI 0705
BibRef
Earlier:
Geo-Consistency for Wide Multi-Camera Stereo,
CVPR05(I: 351-358).
IEEE DOI 0507
BibRef
And:
Fast multiple-baseline stereo with occlusion,
3DIM05(540-547).
IEEE DOI 0508
BibRef

Roy, S.[Sibastien], and Cox, I.J.[Ingemar J.],
A Maximum-Flow Formulation of the N-Camera Stereo Correspondence Problem,
ICCV98(492-499).
IEEE DOI BibRef 9800

Ng, K.C.[Kim C.], Trivedi, M.M.[Mohan M.], Ishiguro, H.[Hiroshi],
Generalized Multiple Baseline Stereo and Direct Virtual View Synthesis Using Range-Space Search, Match, and Render,
IJCV(47), No. 1-3, April-June 2002, pp. 131-147.
DOI Link 0203
BibRef
Earlier:
Range-Space Approach for Generalized Multiple Baseline Stereo and Direct Virtual View Synthesis,
SMBV01(xx-yy). 0110
BibRef

Bradski, G.[Gary], Boult, T.E.[Terrance E.],
Guest Editorial: Stereo and Multi-Baseline Vision,
IJCV(47), No. 1-3, April-June 2002, pp. 5-5.
DOI Link 0203
Intro to special issue. BibRef

Gong, M.L.[Ming-Lun], Yang, Y.H.[Yee-Hong],
Genetic-Based Stereo Algorithm and Disparity Map Evaluation,
IJCV(47), No. 1-3, April-June 2002, pp. 63-77.
DOI Link 0203
BibRef
Earlier:
Multi-baseline Stereo Matching Using Genetic Algorithm,
SMBV01(xx-yy). 0110

See also Real-Time Stereo Matching Using Orthogonal Reliability-Based Dynamic Programming. BibRef

Le Besnerais, G., Sanfourche, M., Champagnat, F.,
Dense height map estimation from oblique aerial image sequences,
CVIU(109), No. 2, February 2008, pp. 204-225.
Elsevier DOI 0711
Surface reconstruction; Images sequence analysis; Structure-from-motion; Occlusions; Geometric calibration BibRef

Sanfourche, M., Le Besnerais, G., Champagnat, F.,
On the choice of the goodness-to-fit term for multibaseline stereo-vision,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Sanfourche, M., Le Besnerais, G., Philipp-Foliguet, S.,
Height Estimation using Aerial Side Looking Image Sequences,
PIA05(xx-yy).
PDF File. 0509
BibRef

Chen, J.D.[Jian-Dan], Khatibi, S.[Siamak], Kulesza, W.[Wlodek],
Depth reconstruction uncertainty analysis and improvement: The dithering approach,
IVC(28), No. 9, September 2010, pp. 1377-1385.
Elsevier DOI 1007
BibRef
Earlier:
Planning of a Multi Stereo Visual Sensor System: Depth Accuracy and Variable Baseline Approach,
3DTV07(1-4).
IEEE DOI 0705
Depth reconstruction; Quantization uncertainty; Dither; Iso-disparity planes BibRef

Rudinac, S., Hanjalic, A., Larson, M.,
Generating Visual Summaries of Geographic Areas Using Community-Contributed Images,
MultMed(15), No. 4, 2013, pp. 921-932.
IEEE DOI geographic information systems; visual feature extraction; visual summarization of geographic areas 1307
BibRef

Shin, Y.M.[Young Min], Cho, M.S.[Min-Su], Lee, K.M.[Kyoung Mu],
Multi-object reconstruction from dynamic scenes: An object-centered approach,
CVIU(117), No. 11, 2013, pp. 1575-1588.
Elsevier DOI 1309
3D reconstruction and separation of multiple objects in the scene. BibRef

Grum, M.[Matthew], Bors, A.G.[Adrian G.],
3D modeling of multiple-object scenes from sets of images,
PR(47), No. 1, 2014, pp. 326-343.
Elsevier DOI 1310
BibRef
Earlier:
Enforcing Consistency of 3D Scenes with Multiple Objects Using Shape-from-Contours,
CAIP13(539-547).
Springer DOI 1308
BibRef
Earlier:
Enforcing image consistency in multiple 3-D object modelling,
ICPR08(1-4).
IEEE DOI 0812
BibRef
And:
Multiple image disparity correction for 3-D scene representation,
ICIP08(209-212).
IEEE DOI 0810
BibRef
Earlier:
Refining implicit function representations of 3-D scenes,
BMVC07(xx-yy).
PDF File. 0709
3D scene modeling. 3D from calibrated multiple cameras. BibRef

Grum, M.[Matthew], Bors, A.G.[Adrian G.],
Correcting 3D scenes estimated from sets of multi-view images using shape-from-contours,
ICIP14(2888-2892)
IEEE DOI 1502
Cameras BibRef

Gu, Y., Cao, Z., Zhang, Y.,
Three-Dimensional Reconstruction of Multiplatform Stereo Data With Variance Component Estimation,
GeoRS(52), No. 7, July 2014, pp. 4211-4226.
IEEE DOI 1403
Image resolution BibRef

Kang, L.[Lai], Wu, L.[Lingda], Yang, Y.H.[Yee-Hong],
Robust multi-view L2 triangulation via optimal inlier selection and 3D structure refinement,
PR(47), No. 9, 2014, pp. 2974-2992.
Elsevier DOI 1406
Multi-view triangulation BibRef

Moons, T.[Theo], Gool, L.J.V.[Luc J. Van], Vergauwen, M.[Maarten],
3D Reconstruction from Multiple Images Part 1: Principles,
FTCGV(4), Issue 4, 2008, pp. 287-404.
DOI Link 1410
Published March 2010. BibRef

Ge, K., Hu, H., Feng, J., Zhou, J.,
Depth Estimation Using a Sliding Camera,
IP(25), No. 2, February 2016, pp. 726-739.
IEEE DOI 1601
Arrays BibRef

Baek, S.H.[Seung-Hwan], Kim, M.H.[Min H.],
Stereo fusion: Combining refractive and binocular disparity,
CVIU(146), No. 1, 2016, pp. 52-66.
Elsevier DOI 1604
BibRef
And:
Stereo Fusion Using a Refractive Medium on a Binocular Base,
ACCV14(II: 503-518).
Springer DOI 1504
Stereo fusion BibRef

Kuhn, A.[Andreas], Hirschmüller, H.[Heiko], Scharstein, D.[Daniel], Mayer, H.[Helmut],
A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction,
IJCV(124), No. 1, August 2016, pp. 2-17.
Springer DOI 1707
BibRef
Earlier: A1, A4, A2, A3:
A TV Prior for High-Quality Local Multi-View Stereo Reconstruction,
3DV14(65-72)
IEEE DOI 1503
BibRef
Earlier: A1, A2, A4, Only:
Multi-Resolution Range Data Fusion for Multi-View Stereo Reconstruction,
GCPR13(41-50).
Springer DOI 1311
Estimation
See also Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms, A. 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

Sormann, C.[Christian], Santellani, E.[Emanuele], Rossi, M.[Mattia], Kuhn, A.[Andreas], Fraundorfer, F.[Friedrich],
DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo,
WACV23(3086-3095)
IEEE DOI 2302
Deep learning, Costs, Fuses, Neural networks, Buildings, Benchmark testing, Algorithms: 3D computer vision BibRef

Kuhn, A.[Andreas], Sormann, C., Rossi, M., Erdler, O., Fraundorfer, F.,
DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction,
3DV20(404-413)
IEEE DOI 2102
Pipelines, Image reconstruction, Decoding, Prediction algorithms, Measurement, Image resolution, Confidence Prediction 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


Zhuang, B., Cheong, L., Lee, G.H.,
Baseline Desensitizing in Translation Averaging,
CVPR18(4539-4547)
IEEE DOI 1812
Cameras, Linear programming, Optimization, Task analysis, Sensitivity, Geometry, Mathematical model BibRef

Katai-Urban, G., Otte, V., Kees, N., Megyesi, Z., Bixel, P.S.,
Stereo Reconstruction Of Atmospheric Cloud Surfaces From Fish-eye Camera Images,
ISPRS16(B3: 49-56).
DOI Link 1610
BibRef

Miguel, M.A.[Marcelo A.], Pagliari, C.L.[Carla L.], da Silva, E.A.B.[Eduardo A.B.], Perez, M.M.[Marcelo M.],
An objective 3D quality assessment model to adjust stereo camera baseline,
ICIP15(1900-1904)
IEEE DOI 1512
3D Quality Assessment; Stereoscopy; Visual Comfort BibRef

Xiao, Z.L.[Zhao-Lin], Wang, Q.[Qing], Si, L.P.[Li-Peng], Zhou, G.Q.[Guo-Qing],
Reconstructing scene depth and appearance behind foreground occlusion using camera array,
ICIP14(41-45)
IEEE DOI 1502
Arrays BibRef

Makantasis, K.[Konstantinos], Doulamis, A.[Anastasios], Doulamis, N.[Nikolaos], Ioannides, M.[Marinos], Matsatsinis, N.[Nikolaos],
Content-Based Filtering for Fast 3D Reconstruction from Unstructured Web-Based Image Data,
EuroMed14(91-101).
Springer DOI 1412
BibRef

Protopapadakis, E.[Eftychios], Doulamis, A.[Anastasios], Matsatsinis, N.[Nikolaos],
Semi-supervised Image Meta-filtering in Cultural Heritage Applications,
EuroMed14(102-110).
Springer DOI 1412
BibRef

Wei, J.[Jian], Resch, B.[Benjamin], Lensch, H.P.A.[Hendrik P.A.],
Dense and Occlusion-Robust Multi-view Stereo for Unstructured Videos,
CRV16(69-76)
IEEE DOI 1612
BibRef
Earlier:
Multi-View Depth Map Estimation With Cross-View Consistency,
BMVC14(xx-yy).
HTML Version. 1410
GPU BibRef

Lou, L.[Lu], Liu, Y.H.[Yong-Huai], Han, J.[Jiwan], Doonan, J.H.[John H.],
Accurate Multi-View Stereo 3D Reconstruction for Cost-Effective Plant Phenotyping,
ICIAR14(II: 349-356).
Springer DOI 1410
BibRef

Kostrikov, I.[Ilya], Horbert, E.[Esther], Leibe, B.[Bastian],
Probabilistic Labeling Cost for High-Accuracy Multi-view Reconstruction,
CVPR14(1534-1541)
IEEE DOI 1409
BibRef

Heber, S.[Stefan], Yu, W.[Wei], Pock, T.[Thomas],
Neural EPI-Volume Networks for Shape from Light Field,
ICCV17(2271-2279)
IEEE DOI 1802
BibRef
Earlier:
U-shaped Networks for Shape from Light Field,
BMVC16(xx-yy).
HTML Version. 1805
decoding, estimation theory, image coding, image reconstruction, neural nets, regression analysis, set theory, BibRef

Heber, S.[Stefan], Pock, T.[Thomas],
Convolutional Networks for Shape from Light Field,
CVPR16(3746-3754)
IEEE DOI 1612
BibRef
Earlier:
Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm,
GCPR14(3-14).
Springer DOI 1411
BibRef
And:
Shape from Light Field Meets Robust PCA,
ECCV14(VI: 751-767).
Springer DOI 1408
multi-view stereo reconstruction. BibRef

Semerjian, B.[Ben],
A New Variational Framework for Multiview Surface Reconstruction,
ECCV14(VI: 719-734).
Springer DOI 1408
BibRef

Boutteau, R., Savatier, X., Ertaud, J.Y.,
A Dynamic Programming Algorithm Applied to Omnidirectional Vision for Dense 3D Reconstruction,
ACPR13(927-931)
IEEE DOI 1408
computer vision BibRef

Fehrman, B., McGough, J.,
Low-cost camera array for mitigating lighting range effects,
Southwest14(69-72)
IEEE DOI 1406
cameras BibRef

Fehrman, B., McGough, J.,
Depth mapping using a low-cost camera array,
Southwest14(101-104)
IEEE DOI 1406
cameras BibRef

Kovacs, L.,
Processing Geotagged Image Sets for Collaborative Compositing and View Construction,
CVCP13(460-467)
IEEE DOI 1403
client-server systems BibRef

Ummenhofer, B.[Benjamin], Brox, T.[Thomas],
Point-Based 3D Reconstruction of Thin Objects,
ICCV13(969-976)
IEEE DOI 1403
BibRef

Owens, A.[Andrew], Xiao, J.X.[Jian-Xiong], Torralba, A.B.[Antonio B.], Freeman, W.T.[William T.],
Shape Anchors for Data-Driven Multi-view Reconstruction,
ICCV13(33-40)
IEEE DOI 1403
BibRef

Kakumu, Y.[Yumi], Sakaue, F.[Fumihiko], Sato, J.[Jun], Ishimaru, K.[Kazuhisa], Imanishi, M.[Masayuki],
High Frequency 3D Reconstruction from Unsynchronized Multiple Cameras,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Sharma, M.[Mansi], Chaudhury, S.[Santanu], Lall, B.[Brejesh],
A novel variety-based 3DTV content generation scheme for casually captured sparse photo collections,
3DTV-CON13(1-4)
IEEE DOI 1309
Virtual 3D photo tours BibRef

Dellepiane, M., Cavarretta, E., Cignoni, P., Scopigno, R.,
Assisted Multi-view Stereo Reconstruction,
3DV13(318-325)
IEEE DOI 1311
image reconstruction BibRef

Bao, S.Y.Z.[Sid Ying-Ze], Chandraker, M.[Manmohan], Lin, Y.Q.[Yuan-Qing], Savarese, S.[Silvio],
Dense Object Reconstruction with Semantic Priors,
CVPR13(1264-1271)
IEEE DOI 1309
multi-image, use shape priors and object detection. BibRef

Hollick, J., Moncrieff, S., Belton, D., Woods, A.J., Hutchison, A., Helmholz, P.,
Creation of 3D Models from Large Unstructured Image and Video Datasets,
Hannover13(133-137).
DOI Link 1308
BibRef

Toldo, R., Fantini, F., Giona, L., Fantoni, S., Fusiello, A.,
Accurate Multiview Stereo Reconstruction with Fast Visibility Integration and Tight Disparity Bounding,
3DARCH13(243-249).
DOI Link 1308
BibRef

Wenzel, K., Rothermel, M., Fritsch, D., Haala, N.,
Filtering of Point Clouds from Photogrammetric Surface Reconstruction,
CloseRange14(615-620).
DOI Link 1411
BibRef

Wenzel, K., Haala, N., Fritsch, D.,
Stereo Model Selection and Point Cloud Filtering using an Out-of-Core Octree,
PCV14(373-380).
DOI Link 1404
BibRef

Wenzel, K., Rothermel, M., Fritsch, D., Haala, N.,
Image Acquisition and Model Selection for Multi-View Stereo,
3DARCH13(251-258).
DOI Link 1308
BibRef

Shimizu, M.[Masao], Okutomi, M.[Masatoshi], Jiang, W.[Wei],
Disparity Estimation in a Layered Image for Reflection Stereo,
ACCV09(III: 395-405).
Springer DOI 0909
BibRef

Jiang, W.[Wei], Shimizu, M.[Masao], Okutomi, M.[Masatoshi],
Single-Camera Multi-baseline Stereo Using Fish-Eye Lens and Mirrors,
ACCV09(II: 347-358).
Springer DOI 0909
BibRef

Tung, T.[Tony], Nobuhara, S.[Shohei], Matsuyama, T.[Takashi],
Complete multi-view reconstruction of dynamic scenes from probabilistic fusion of narrow and wide baseline stereo,
ICCV09(1709-1716).
IEEE DOI 0909
BibRef

Li, H.D.[Hong-Dong], Hartley, R.I.[Richard I.],
Rectification-Free Multibaseline Stereo for Non-ideal Configurations,
CIAP05(810-817).
Springer DOI 0509
BibRef

Li, Y.Z.[Yuan-Zhen], Lin, S.[Stephen], Lu, H.Q.[Han-Qing], Kang, S.B.[Sing Bing], Shum, H.Y.[Heung-Yeung],
Multibaseline stereo in the presence of specular reflections,
ICPR02(III: 573-576).
IEEE DOI 0211
BibRef

Trivedi, M.M.[Mohan M.], Ravichandran, G.[Gopalan], Watkins, W.R.[Wendell R.],
Novel Multiple Wide-Baseline Stereo Approach for Target Ranging,
SPIE(2742), 1996, pp. 236-244. BibRef 9600

Clark, J., Wallace, A.M.,
Depth Sensing by Variable Baseline Triangulation,
BMVC95(xx-yy).
PDF File. 9509
BibRef

Williamson, T.[Todd], Thorpe, C.E.[Charles E.],
A Specialized Multibaseline Stereo Technique for Obstacle Detection,
CVPR98(238-244).
IEEE DOI Obstacle Dtection. Detects small obstacles on the road. BibRef 9800

Williamson, T.[Todd], Thorpe, C.E.[Charles E.],
Detection of Small Obstacles at Long Range Using Multibaseline Stereo,
DARPA98(1255-1260). The real problem is small obstacles in roads do not show up soon enough. BibRef 9800

Williamson, T.,
A High-Performance Stereo Vision System for Obstacle Detection,
CMU-RI-TR-98-24, September, 1998.
HTML Version. BibRef 9809

Kang, S.B.[Sing Bing], Webb, J.A.[Jon A.], Zitnick, C.L.[C. Lawrence], Kanade, T.[Takeo],
A Multibaseline Stereo System with Active Illumination and Real-Time Image Acquisition,
ICCV95(88-93).
IEEE DOI Hardware system, four cameras. BibRef 9500

Zitnick, C.L.[C. Lawrence], Webb, J.A.[Jon A.],
Multi-baseline Stereo Using Surface Extraction,
CMU-CS-TR-96-196, November 1996.
PS File. BibRef 9611

Webb, J.A.[Jon A.], Zitnick, C.L.[C. Lawrence],
Method of producing a three-dimensional image from two-dimensional images,
US_Patent5,818,959, Oct 6, 1998
WWW Link. BibRef 9810

Kanade, T.[Takeo], Kang, S.B.[Sing Bing], Webb, J.A.[Jon A.], and Zitnick, C.L.[C. Lawrence],
An Active Multibaseline Stereo System with Real-time Image Acquisition,
ARPA94(II:1325-1334). BibRef 9400
And: A2, A3, A4, A1:
An Active Multibaseline Stereo Vision System with Real-Time Image Capture,
CMU-CS-TR-94-167, September 1994.
PS File. BibRef

Webb, J.A.[Jon A.],
Implementation and Performance of Fast Parallel Multi-Baseline Stereo Vision,
CAMP93(232-240). BibRef 9300
And: DARPA93(1005-1010). BibRef

Webb, J.A.[Jon A.], Warfel, T.[Thomas], Kang, S.B.[Sing Bing],
A Scalable Video Rate Camera Interface,
CMU-CS-TR-94-192, September 1994. BibRef 9409

Frankel, M.[Martin], Webb, J.A.[Jon A.],
Design, Implementation, and Performance of a Scalable Multi-Camera Interactive Video Capture System,
CAMP95(XX-YY). BibRef 9500

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Representations from Orthogonal, Orghographic or Multiple Views .


Last update:Mar 16, 2024 at 20:36:19