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See also Early Detection of Motion Boundaries, The. or
See also Direct Evidence for Occlusion in Stereo and Motion. )
Match Goodness Jumps (
See also Toward a General Theory of Stereopsis: Binocular Matching, Occluding Contours and Fusion. or
See also Stereo Processing of Aerial, Urban Images. )
Left-Right Checking (
See also Matching Two Perspective Views.
See also On an Analysis of Static Occlusion in Stereo Vision.
See also Intensity-Based Cooperative Bidirectional Stereo Matching with Simultaneous Detection of Discontinuities and Occlusions, An. )
Ordering (
See also Depth from Edge and Intensity Based Stereo.
See also Generalized Ordering Constraint for Stereo Correspondence, A.
See also Stereo by Intra- and Inter-scanline Search Using Dynamic Programming.
See also Occlusions and Binocular Stereo. or
See also Bayesian-approach to Binocular Stereopsis, A. )
Occlusion Constraint (
See also Occlusions and Binocular Stereo. or
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Elsevier DOI
1402
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Stereo vision
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IEEE DOI
1601
Benchmark testing
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Elsevier DOI
1604
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IJCV(120), No. 2, November 2016, pp. 153-168.
Springer DOI
1609
BibRef
Earlier: A2, A5, A3, A4, A1:
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CVPR14(406-413)
IEEE DOI
1409
Multi view stereopsis; structured light; surface reconstruction
BibRef
Kim, S.[Sujung],
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Multiple View Stereo by Reflectance Modeling,
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IEEE DOI
1212
BibRef
Sankowski, W.,
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Elsevier DOI
1704
Stereo vision
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Mathematical Modeling and Accuracy Testing of WorldView-2 Level-1B
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RS(9), No. 7, 2017, pp. xx-yy.
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1708
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Relative Importance of Binocular Disparity and Motion Parallax for
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DOI Link
1909
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Tonioni, A.[Alessio],
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PAMI(42), No. 10, October 2020, pp. 2396-2409.
IEEE DOI
2009
BibRef
Earlier:
Unsupervised Adaptation for Deep Stereo,
ICCV17(1614-1622)
IEEE DOI
1802
Training, Reliability, Estimation, Loss measurement,
Prediction algorithms, Deep learning,
domain adaptation.
learning (artificial intelligence), neural nets,
stereo image processing, data corpus, deep learning stereo model,
Reliability
BibRef
Poggi, M.[Matteo],
Tonioni, A.[Alessio],
Tosi, F.[Fabio],
Mattoccia, S.[Stefano],
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Continual Adaptation for Deep Stereo,
PAMI(44), No. 9, September 2022, pp. 4713-4729.
IEEE DOI
2208
Training, Real-time systems, Estimation,
Adaptation models, Proposals, Stereo matching, deep learning,
continual learning
BibRef
Cai, C.,
Poggi, M.[Matteo],
Mattoccia, S.[Stefano],
Mordohai, P.,
Matching-space Stereo Networks for Cross-domain Generalization,
3DV20(364-373)
IEEE DOI
2102
Feature extraction, Training,
Estimation, Pipelines, Data models, Correlation
BibRef
Tonioni, A.[Alessio],
Rahnama, O.[Oscar],
Joy, T.[Thomas],
di Stefano, L.[Luigi],
Ajanthan, T.[Thalaiyasingam],
Torr, P.H.S.[Philip H.S.],
Learning to Adapt for Stereo,
CVPR19(9653-9662).
IEEE DOI
2002
BibRef
Poggi, M.[Matteo],
Tosi, F.[Fabio],
Mattoccia, S.[Stefano],
Quantitative Evaluation of Confidence Measures in a Machine Learning
World,
ICCV17(5238-5247)
IEEE DOI
1802
learning (artificial intelligence), stereo image processing,
deep learning, depth measurements,
Reliability
BibRef
Poggi, M.[Matteo],
Tosi, F.[Fabio],
Mattoccia, S.[Stefano],
Efficient Confidence Measures for Embedded Stereo,
CIAP17(I:483-494).
Springer DOI
1711
BibRef
And:
Even More Confident Predictions with Deep Machine-Learning,
ECVW17(393-401)
IEEE DOI
1709
Stereo.
Atmospheric measurements, Feature extraction,
Particle measurements, Proposals, Reliability,
BibRef
Fan, C.L.[Chun-Ling],
Zhang, Y.[Yun],
Hamzaoui, R.[Raouf],
Ziou, D.[Djemel],
Jiang, Q.S.[Qing-Shan],
Learning-Based Satisfied User Ratio Prediction for Symmetrically and
Asymmetrically Compressed Stereoscopic Images,
MultMedMag(28), No. 3, July 2021, pp. 8-20.
IEEE DOI
2109
Image coding, Stereo image processing, Feature extraction,
Distortion, Visualization, Image quality,
asymmetric stereoscopic compression
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Zizien, A.[Adam],
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Regarding the quality of disparity estimation from distorted light
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Elsevier DOI
2210
Light field, Image compression, Image quality evaluation,
Subjective assessment, Objective assessment, Depth estimation
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Marí, R.[Roger],
Ehret, T.[Thibaud],
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Disparity Estimation Networks for Aerial and High-Resolution
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DOI Link
2212
Code, Stereo.
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WWW Link. PSM and HSM learning architectures for disparity.
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Purinton, B.[Benjamin],
Mueting, A.[Ariane],
Bookhagen, B.[Bodo],
Image Texture as Quality Indicator for Optical DEM Generation:
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RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Tang, X.M.[Xin-Ming],
Zhu, X.Y.[Xiao-Yong],
Hu, W.[Wenmin],
Ding, J.H.[Jian-Hang],
Geometric Accuracy Analysis of Regional Block Adjustment Using GF-7
Stereo Images without GCPs,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link
2306
BibRef
Nasiri, S.M.[Seyed-Mahdi],
Hosseini, R.[Reshad],
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IET-IPR(17), No. 10, 2023, pp. 2855-2865.
DOI Link
2308
robot vision
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Li, Z.S.[Zhao-Shuo],
Liu, X.T.[Xing-Tong],
Drenkow, N.[Nathan],
Ding, A.[Andy],
Creighton, F.X.[Francis X.],
Taylor, R.H.[Russell H.],
Unberath, M.[Mathias],
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence
Perspective with Transformers,
ICCV21(6177-6186)
IEEE DOI
2203
Costs, Estimation, Network architecture,
Benchmark testing, Transformers, Stereo,
Vision for robotics and autonomous vehicles
BibRef
Wu, T.,
Vallet, B.,
Pierrot-Deseilligny, M.,
Rupnik, E.,
A New Stereo Dense Matching Benchmark Dataset for Deep Learning,
ISPRS21(B2-2021: 405-412).
DOI Link
2201
BibRef
Wu, R.C.[Rong-Cheng],
Sun, C.M.[Chang-Ming],
Liu, Z.Y.[Zhao-Ying],
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Deep learning based stereo cost aggregation on a small dataset,
DICTA21(01-08)
IEEE DOI
2201
Training, Deep learning, Costs, Digital images, Pipelines, Training data
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Zhao, Y.H.[Yun-Han],
Kong, S.[Shu],
Fowlkes, C.C.[Charless C.],
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose
Distribution Bias,
CVPR21(15754-15763)
IEEE DOI
2111
Training, Image coding, Handheld computers,
Perturbation methods, Cameras, Encoding
BibRef
He, J.[Ju],
Zhou, E.[Enyu],
Sun, L.S.[Liu-Sheng],
Lei, F.[Fei],
Liu, C.Y.[Chen-Yang],
Sun, W.X.[Wen-Xiu],
Semi-synthesis:
A fast way to produce effective datasets for stereo matching,
WAD21(2878-2887)
IEEE DOI
2109
Training,
Training data, Benchmark testing, Rendering (computer graphics),
Environmental factors
BibRef
Cai, C.,
Mordohai, P.,
Do End-to-end Stereo Algorithms Under-utilize Information?,
3DV20(374-383)
IEEE DOI
2102
Picture archiving and communication systems, Motion segmentation
BibRef
Zhou, T.,
Hasheminasab, S.M.,
Lin, Y.C.,
Habib, A.,
Comparative Evaluation of Derived Image and LIDAR Point Clouds from
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ISPRS20(B2:169-175).
DOI Link
2012
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Cournet, M.,
Sarrazin, E.,
Dumas, L.,
Michel, J.,
Guinet, J.,
Youssefi, D.,
Defonte, V.,
Fardet, Q.,
Ground Truth Generation and Disparity Estimation for Optical Satellite
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ISPRS20(B2:127-134).
DOI Link
2012
BibRef
Saponaro, M.,
Capolupo, A.,
Caporusso, G.,
Mondino, E.B.[E. Borgogno],
Tarantino, E.,
Predicting the Accuracy of Photogrammetric 3d Reconstruction From
Camera Calibration Parameters Through A Multivariate Statistical
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ISPRS20(B2:479-486).
DOI Link
2012
BibRef
Wan, W.,
Liu, Z.,
Wang, Y.,
Peng, M.,
Di, K.,
Liu, C.,
Li, L.,
Wang, J.,
Yu, T.,
Wang, R.,
Bo, Z.,
Topographic Mapping with Manipulator Arm Camera In Lunar Sample Return
Mission,
ISPRS20(B3:1159-1163).
DOI Link
2012
BibRef
Wang, R.,
Di, K.,
Wan, W.,
Liu, Z.,
Wang, Y.,
Liang, W.,
Wang, Y.,
Chen, X.,
Zhi, S.,
Topographic Mapping and Analysis Based on 3d Reconstruction Model Of
Simulated Asteroid,
ISPRS20(B3:1165-1170).
DOI Link
2012
BibRef
Re, C.,
Borin, N.,
Simioni, E.,
Lazzarotto, F.,
Zusi, M.,
Palumbo, P.,
Debei, S.,
Cremonese, G.,
Validation of the Stereo Observation Strategy of Simbio-sys Using A
Virtual Simulator,
ISPRS20(B3:1143-1150).
DOI Link
2012
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Frommholz, D.,
A Synthetic 3d Scene for The Validation of Photogrammetric Algorithms,
ISSDQ19(1221-1228).
DOI Link
1912
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Berveglieri, A.,
Tommaselli, A.M.G.,
Santos, G.,
Santos, L.D.,
Honkavaara, E.,
Performance Evaluation of Sequential Band Orientation By Polynomial
Models in Hyperspectral Cubes Collected With Uav,
EuroCOW-M3DMaN19(1625-1629).
DOI Link
1912
BibRef
Berveglieri, A.,
Tommaselli, A.M.G.,
Santos, L.D.,
Tie Point Generation in Hyperspectral Cubes for Orientation With
Polynomial Models,
Optical3D19(7-12).
DOI Link
1912
BibRef
Re, C.,
Tulyakov, S.,
Simioni, E.,
Mudric, T.,
Cremonese, G.,
Thomas, N.,
Performance Evaluation of 3DPD, The Photogrammetric Pipeline for The
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PRSM19(1443-1449).
DOI Link
1912
BibRef
Mizginov, V.A.,
Kniaz, V.V.,
Evaluating The Accuracy of 3d Object Reconstruction From Thermal Images,
Optical3D19(129-134).
DOI Link
1912
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Mattheuwsen, L.,
Bassier, M.,
Vergauwen, M.,
Theoretical Accuracy Prediction And Validation of Low-end And High-end
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Optical3D19(121-128).
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Smolyanskiy, N.,
Kamenev, A.,
Birchfield, S.T.,
On the Importance of Stereo for Accurate Depth Estimation:
An Efficient Semi-Supervised Deep Neural Network Approach,
AutoDrive18(1120-11208)
IEEE DOI
1812
Cameras, Estimation, Laser radar, Buildings, Automobiles, Roads,
Graphics processing units
BibRef
Sharma, A.[Aashish],
Cheong, L.F.[Loong-Fah],
Heng, L.,
Tan, R.T.,
Nighttime Stereo Depth Estimation using Joint Translation-Stereo
Learning: Light Effects and Uninformative Regions,
3DV20(23-31)
IEEE DOI
2102
Training, Estimation, Transforms,
Testing, Stereo vision, Optimization
BibRef
Sharma, A.[Aashish],
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Into the Twilight Zone:
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Springer DOI
1810
Low light issues.
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di Rita, M.,
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FOSS4G Date Assessment On the Isprs Optical Stereo Satellite Data: A
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DOI Link
1805
Dataset, Stereo. benchmark dataset with several stereo data sets from space borne stereo sensors
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Poggi, M.[Matteo],
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Learning from scratch a confidence measure,
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Dima, E.,
Sjöström, M.,
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Modeling depth uncertainty of desynchronized multi-camera systems,
IC3D17(1-6)
IEEE DOI
1804
cameras, image reconstruction,
rendering (computer graphics), synchronisation, virtual reality,
Synchronization error
BibRef
Hafeez, J.,
Hamacher, A.,
Kwon, S.,
Lee, S.,
Performance evaluation of patterns for image-based 3D model
reconstruction of textureless objects,
IC3D17(1-5)
IEEE DOI
1804
feature extraction, image reconstruction,
image texture, photogrammetry, solid modelling,
surface comparison
BibRef
Bouchard, J.[Jonathan],
Clark, J.J.[James J.],
Half-occluded regions: The key to detecting a diverse array of
defects in S3D imagery,
IC3D17(1-8)
IEEE DOI
1804
Stereoscopic 3D. Visible in one view, not the other.
image matching, solid modelling,
stereo image processing, visual perception, S3D imagery,
window violation
BibRef
Kim, S.,
Min, D.B.[Dong-Bo],
Ham, B.[Bumsub],
Kim, S.,
Sohn, K.,
Deep stereo confidence prediction for depth estimation,
ICIP17(992-996)
IEEE DOI
1803
Convolutional neural networks, Estimation, Feature extraction,
Impedance matching, Network architecture, Reliability, Training,
stereo matching
BibRef
Poggi, M.[Matteo],
Mattoccia, S.[Stefano],
Learning to Predict Stereo Reliability Enforcing Local Consistency of
Confidence Maps,
CVPR17(4541-4550)
IEEE DOI
1711
Estimation, Feature extraction, Neurons,
Pattern matching, Reliability, Training
BibRef
Treible, W.,
Saponaro, P.,
Sorensen, S.,
Kolagunda, A.,
O'Neal, M.,
Phelan, B.,
Sherbondy, K.,
Kambhamettu, C.,
CATS: A Color and Thermal Stereo Benchmark,
CVPR17(134-142)
IEEE DOI
1711
Benchmark testing, Calibration, Cameras, Cats, Image color analysis,
Laser radar,
BibRef
Ley, A.[Andreas],
Hänsch, R.[Ronny],
Hellwich, O.[Olaf],
SyB3R:
A Realistic Synthetic Benchmark for 3D Reconstruction from Images,
ECCV16(VII: 236-251).
Springer DOI
1611
BibRef
Hanel, A.,
Hoegner, L.,
Stilla, U.,
Towards The Influence Of A Car Windshield On Depth Calculation With A
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ISPRS16(B5: 461-468).
DOI Link
1610
BibRef
Mukherjee, S.,
Cheng, I.,
Guddeti, R.M.R.,
Basu, A.,
Entropy-difference based stereo error detection,
IVMSP16(1-5)
IEEE DOI
1608
Cost function
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Dolereit, T.[Tim],
von Lukas, U.F.[Uwe Freiherr],
Calibration of Shared Flat Refractive Stereo Systems,
ICIAR16(433-442).
Springer DOI
1608
BibRef
Aguiar, J.[João],
Pinto, A.M.[Andry Maykol],
Cruz, N.A.[Nuno A.],
Matos, A.C.[Anibal C.],
The Impact of Convergence Cameras in a Stereoscopic System for AUVs,
ICIAR16(521-529).
Springer DOI
1608
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Kerner, S.,
Kaufman, I.,
Raizman, Y.,
Role of Tie-Points Distribution in Aerial Photography,
EuroCOW16(xx-yy).
DOI Link
1605
BibRef
Honauer, K.,
Maier-Hein, L.,
Kondermann, D.,
The HCI Stereo Metrics:
Geometry-Aware Performance Analysis of Stereo Algorithms,
ICCV15(2120-2128)
IEEE DOI
1602
Algorithm design and analysis
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Vargas, C.[Camilo],
Cabezas, I.[Ivan],
Branch, J.W.[John W.],
Stereo Correspondence Evaluation Methods: A Systematic Review,
ISVC15(II: 102-111).
Springer DOI
1601
BibRef
Kim, J.H.[Jung-Hwan],
Lee, S.H.[Sang-Hoon],
Deep blind image quality assessment by employing FR-IQA,
ICIP17(3180-3184)
IEEE DOI
1803
Correlation, Databases, Distortion, Image quality, Machine learning,
Measurement, Training, Convolutional neural network, deep learning,
no-reference image quality assessment
BibRef
Kim, H.[Haksub],
Kim, J.H.[Jung-Hwan],
Lee, S.H.[Sang-Hoon],
3D perception based quality pooling on stereoscopic image,
ICIP15(3382-3386)
IEEE DOI
1512
3D Perception
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Guney, F.[Fatma],
Geiger, A.[Andreas],
Displets: Resolving stereo ambiguities using object knowledge,
CVPR15(4165-4175)
IEEE DOI
1510
BibRef
Anai, T.,
Kochi, N.,
Yamada, M.,
Sasaki, T.,
Otani, H.,
Sasaki, D.,
Nishimura, S.,
Kimoto, K.,
Yasui, N.,
Examination About Influence for Precision of 3D Image Measurement from
the Ground Control Point Measurement and Surface Matching,
Seamless15(165-170).
DOI Link
1508
BibRef
Kondermann, D.[Daniel],
Nair, R.[Rahul],
Honauer, K.[Katrin],
Krispin, K.,
Andrulis, J.,
Brock, A.,
Güssefeld, B.[Burkhard],
Rahimimoghaddam, M.,
Hofmann, S.[Sabine],
Brenner, C.[Claus],
Jähne, B.[Bernd],
The HCI Benchmark Suite: Stereo and Flow Ground Truth with
Uncertainties for Urban Autonomous Driving,
CVVT16(19-28)
IEEE DOI
1612
BibRef
Kondermann, D.[Daniel],
Nair, R.[Rahul],
Meister, S.[Stephan],
Mischler, W.[Wolfgang],
Güssefeld, B.[Burkhard],
Honauer, K.[Katrin],
Hofmann, S.[Sabine],
Brenner, C.[Claus],
Jähne, B.[Bernd],
Stereo Ground Truth with Error Bars,
ACCV14(V: 595-610).
Springer DOI
1504
BibRef
Varekamp, C.,
Hinnen, K.,
Simons, W.,
Detection and correction of disparity estimation errors via
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IC3D13(1-7)
IEEE DOI
1503
error correction
BibRef
Thoeni, K.,
Giacomini, A.,
Murtagh, R.,
Kniest, E.,
A comparison of multi-view 3D reconstruction of a rock wall using
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CloseRange14(573-580).
DOI Link
1411
BibRef
Dall'Asta, E.,
Roncella, R.,
A comparison of semiglobal and local dense matching algorithms for
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CloseRange14(187-194).
DOI Link
1411
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Scharstein, D.[Daniel],
Hirschmüller, H.[Heiko],
Kitajima, Y.[York],
Krathwohl, G.[Greg],
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Westling, P.[Porter],
High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth,
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1411
Dataset, Stereo.
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Cavegn, S.,
Haala, N.,
Nebiker, S.,
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Benchmarking High Density Image Matching for Oblique Airborne Imagery,
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Pinggera, P.[Peter],
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Know Your Limits: Accuracy of Long Range Stereoscopic Object
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ECCV14(II: 96-111).
Springer DOI
1408
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Griessbach, D.G.,
Baumbach, D.B.,
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Accuracy Evaluation of Stereo Vision Aided Inertial Navigation for
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1402
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Hamilton, O.K.[Oliver K.],
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A foreground object based quantitative assessment of dense stereo
approaches for use in automotive environments,
ICIP13(418-422)
IEEE DOI
1402
Accuracy
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Zhao, Y.[Yin],
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Yu, L.[Lu],
Subjective study of binocular rivalry in stereoscopic images with
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ICIP13(132-135)
IEEE DOI
1402
Databases
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Field Accuracy Test of RPAS Photogrammetry,
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Dataset, Stereo.
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Generating Dense Point Correspondence Ground-Truth across Multiple
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3DIMPVT12(214-221).
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1212
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Real-World Stereo-Analysis Evaluation,
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1210
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Wingbermühle, J.[Jochen],
Quality Assessment of Non-dense Image Correspondences,
UnOptFlow12(II: 114-123).
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1210
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A Method for Reducing the Cardinality of the Pareto Front,
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Springer DOI
1209
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González-Aguilera, D.,
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Mancera-Taboada, J.,
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Felipe-García, B.,
Gozalo-Sanz, I.,
Arias-Perez, B.,
3d Modelling and Accuracy Assessment of Granite Quarry Using Unmmanned
Aerial Vehicle,
AnnalsPRS(I-3), No. 2012, pp. 37-42.
DOI Link
1209
BibRef
Choi, S.Y.,
Kang, J.M.,
Shin, D.S.,
A Comparison Of Accuracies of the RPC Models:
Homo- And Hetero-type Stereo Pairs Of Geoeye And Worldview Images,
AnnalsPRS(I-4), No. 2012, pp. 65-69.
DOI Link
1209
BibRef
Rueß, D.,
Luber, A.,
Manthey, K.,
Reulke, R.,
Accuracy Evaluation Of Stereo Camera Systems With Generic Camera Models,
ISPRS12(XXXIX-B5:375-380).
DOI Link
1209
BibRef
Smith, M.J.,
Kokkas, N.,
Assessing the Photogrammetric Potential of Cameras in Portable Devices,
ISPRS12(XXXIX-B5:381-386).
DOI Link
1209
BibRef
Burkhard, J.,
Cavegn, S.,
Barmettler, A.,
Nebiker, S.,
Stereovision Mobile Mapping: System Design and Performance Evaluation,
ISPRS12(XXXIX-B5:453-458).
DOI Link
1209
BibRef
Yanagi, H.,
Chikatsu, H.,
Construction of a System for Defining Areas Which Are Not Obtained Data
from Stereo Images,
ISPRS12(XXXIX-B5:69-74).
DOI Link
1209
BibRef
Toutin, T.,
Schmitt, C.V.,
Wang, H.,
Reinartz, P.,
3D Photogrammetric Processing of Worldview-2 Data Without GCP,
ISPRS12(XXXIX-B1:277-280).
DOI Link
1209
BibRef
Gülch, E.,
Photogrammetric Measurements in Fixed Wing UAV Imagery,
ISPRS12(XXXIX-B1:381-386).
DOI Link
1209
BibRef
Janoch, A.[Allison],
Karayev, S.[Sergey],
Jia, Y.Q.[Yang-Qing],
Barron, J.T.[Jonathan T.],
Fritz, M.[Mario],
Saenko, K.[Kate],
Darrell, T.J.[Trevor J.],
A category-level 3-D object dataset: Putting the Kinect to work,
ConDepth11(1168-1174).
IEEE DOI
1201
Dataset, Stereo. Color and depth pairs.
BibRef
Browatzki, B.[Bjorn],
Fischer, J.[Jan],
Graf, B.[Birgit],
Bulthoff, H.H.[Heinrich H.],
Wallraven, C.[Christian],
Going into depth: Evaluating 2D and 3D cues for object classification
on a new, large-scale object dataset,
ConDepth11(1189-1195).
IEEE DOI
1201
Dataset, Stereo.
BibRef
Smisek, J.[Jan],
Jancosek, M.[Michal],
Pajdla, T.[Tomas],
3D with Kinect,
ConDepth11(1154-1160).
IEEE DOI
1201
Evaluation of the data it produces.
BibRef
Tombari, F.[Federico],
Gori, F.[Fabio],
Evaluation of stereo algorithms for 3D object recognition,
RobPerc11(990-997).
IEEE DOI
1201
BibRef
Chen, J.[Jie],
Fang, Y.M.[Yuan-Min],
Xia, Y.H.[Yong-Hua],
Song, W.W.[Wei-Wei],
Yang, Y.M.[Yong-Ming],
A Study of Three-Dimensional Reconstruction Using High Overlap Aerial
Photograph Sequence,
ISIDF11(1-4).
IEEE DOI
1111
BibRef
Wang, W.[Wei],
Zhao, L.P.[Li-Ping],
Geolocation Accuracy Evaluation of GeoEye-1 Stereo Image Pair,
ISIDF11(1-4).
IEEE DOI
1111
BibRef
Zhu, K.[Ke],
d'Angelo, P.[Pablo],
Butenuth, M.[Matthias],
A Performance Study on Different Stereo Matching Costs Using Airborne
Image Sequences and Satellite Images,
PIA11(159-170).
Springer DOI
1110
BibRef
Khoshelham, K.[Kourosh],
Accuracy Analysis Of Kinect Depth Data,
Laser11(xx-yy).
DOI Link
1109
BibRef
Mannan, F.[Fahim],
Langer, M.S.[Michael S.],
Performance of Stereo Methods in Cluttered Scenes,
CRV11(94-101).
IEEE DOI
1105
BibRef
Natalia, K.,
Photo-based 3D scanning vs. laser scanning:
Competitive data acquisition methods for digital terrain modelling
of steep mountain slopes,
HighRes11(xx-yy).
PDF File.
1106
BibRef
Bianco, G.,
Gallo, A.,
Bruno, F.,
Muzzupappa, M.,
A Comparison Between Active and Passive Techniques for Underwater 3D
Applications,
3DARCH11(xx-yy).
PDF File.
1103
Stereo, structured light.
BibRef
Zhang, T.[Tao],
Boult, T.E.[Terry E.],
Realistic stereo error models and finite optimal stereo baselines,
WACV11(426-433).
IEEE DOI
1101
BibRef
Haeusler, R.[Ralf],
Klette, R.[Reinhard],
Analysis of KITTI Data for Stereo Analysis with Stereo Confidence
Measures,
UnOptFlow12(II: 158-167).
Springer DOI
1210
BibRef
And:
Disparity Confidence Measures on Engineered and Outdoor Data,
CIARP12(624-631).
Springer DOI
1209
BibRef
Earlier:
Benchmarking Stereo Data (Not the Matching Algorithms),
DAGM10(383-392).
Springer DOI
0109
Dataset, Stereo.
BibRef
Barazzetti, L.[Luigi],
Remondino, F.[Fabio],
Scaioni, M.[Marco],
Extraction of accurate tie points for automated pose estimation of
close-range blocks,
PCVIA10(A:151).
PDF File.
1009
BibRef
Earlier: A1, A3, A2:
Automation in 3-D Reconstruction:
Results on Different Kinds of Close-Range Blocks,
CloseRange10(xx-yy).
PDF File.
1006
BibRef
Theiss, H.,
Error Propagation for Close-Range Single Image Relative Measurements,
CloseRange10(xx-yy).
PDF File.
1006
BibRef
Takahashi, G.,
Matsouka, R.,
Accuracy Of Measurement Using A Pair Of Stereo Images Acquired By
Finepix Real 3d W1 Without Controls,
CloseRange10(xx-yy).
PDF File.
1006
BibRef
Kliparchuk, K.[Karl],
Collins, D.[Denis],
Evaluation of stereoscopic Geoeye-1 satellite imagery to assess
landscape and stand level characteristics,
CGC10(161).
PDF File.
1006
BibRef
Mukherjee, D.[Dibyendu],
Bhatnagar, G.[Gaurav],
Wu, Q.M.J.[Q.M. Jonathan],
Performance Evaluation of Multiresolution Methods in Disparity
Estimation,
ICISP10(496-504).
Springer DOI
1006
BibRef
Gehrig, S.K.[Stefan K.],
Schneider, N.[Nicolai],
Franke, U.[Uwe],
Exploiting Traffic Scene Disparity Statistics for Stereo Vision,
ECVW14(688-695)
IEEE DOI
1409
FPGA; embedded vision; scene prior; semi-global matching; stereo vision
See also Improving Stereo Sub-Pixel Accuracy for Long Range Stereo.
BibRef
Pfeiffer, D.[David],
Gehrig, S.K.[Stefan K.],
Schneider, N.[Nicolai],
Exploiting the Power of Stereo Confidences,
CVPR13(297-304)
IEEE DOI
1309
Evaluation
BibRef
Schneider, N.[Nicolai],
Gehrig, S.K.[Stefan K.],
Pfeiffer, D.[David],
Banitsas, K.[Konstantinos],
An Evaluation Framework for Stereo-Based Driver Assistance,
WTFCV11(27-51).
Springer DOI
1210
BibRef
Steingrube, P.[Pascal],
Gehrig, S.K.[Stefan K.],
Franke, U.[Uwe],
Performance Evaluation of Stereo Algorithms for Automotive Applications,
CVS09(285-294).
Springer DOI
0910
BibRef
Poli, D.,
Wolff, K.,
Gruen, A.,
Evaluation of WORLDVIEW-1 Stereo Scenes,
HighRes09(xx-yy).
PDF File.
0906
BibRef
Radhadevi, P.V.,
Nagasubramanian, V.,
Archana, M.,
Krishna, S.,
Solanki, S S.,
Geeta, V.,
Potential of High-resolution Indian Remote Sensing Satellite Imagery
for Large Scale Mapping,
HighRes09(xx-yy).
PDF File.
0906
BibRef
Gonçalves, J.A.,
An Empirical Model for Orientation of ALOS-PRISM Images of Level 1-B2,
HighRes09(xx-yy).
PDF File.
0906
Japanese satellite ALOS with PRISM sensor for high resolution stereo imaging.
BibRef
Bier, A.[Agnieszka],
Luchowski, L.[Leszek],
Error Analysis of Stereo Calibration and Reconstruction,
MIRAGE09(230-241).
Springer DOI
0905
BibRef
Morales, S.[Sandino],
Klette, R.[Reinhard],
Ground Truth Evaluation of Stereo Algorithms for Real World
Applications,
CVVT10(152-162).
Springer DOI
1109
BibRef
Liu, Z.F.[Zhi-Feng],
Klette, R.[Reinhard],
Approximated Ground Truth for Stereo and Motion Analysis on Real-World
Sequences,
PSIVT09(874-885).
Springer DOI
0901
Stereo model analysis.
BibRef
Wang, W.X.[Wei-Xi],
Zhu, Q.[Qing],
Liu, H.[Hao],
The Precision Analysis of 3D Reconstruction Based on Generalized
Stereopair,
ISPRS08(B3b: 91 ff).
PDF File.
0807
BibRef
Xing, S.[Shuai],
Xu, Q.[Qing],
Zhang, Y.[Yan],
He, Y.[Yu],
Jin, G.W.[Guo-Wang],
Optical/SAR Sensors Stereo Positioning,
ISPRS08(B1: 993 ff).
PDF File.
0807
BibRef
Huhle, B.[Benjamin],
Pirinen, O.[Ossi],
Fleck, S.[Sven],
Gotchev, A.[Atanas],
Strasser, W.[Wolfgang],
Why HDR is Important for 3DTV Model Acquisition,
3DTV08(45-48).
IEEE DOI
0805
BibRef
Mierle, K.[Keir],
MacLean, W.J.[W. James],
Evaluating Multiview Reconstruction,
CVS08(xx-yy).
Springer DOI
0805
BibRef
Herath, D.C.,
Kodagoda, K.R.S.,
Dissanayake, G.,
Modeling Errors in Small Baseline Stereo for SLAM,
ICARCV06(1-6).
IEEE DOI
0612
BibRef
Hao, X.,
Mayer, H.[Helmut],
Orientation and Auto-Calibration of Image Triplets and Sequences,
PIA05(xx-yy).
PDF File.
0509
BibRef
Mayer, H.[Helmut],
Analysis of Means to Improve Cooperative Disparity Estimation,
PIA05(xx-yy).
PDF File.
0509
BibRef
And:
Robust Least-Squares Adjustment Based Orientation and Auto-Calibration
of Wide-Baseline Image Sequences,
BenCOS05(xx-yy).
PDF File.
0510
BibRef
Earlier:
Robust Orientation, Calibration, and Disparity Estimation of Image
Triplets,
DAGM03(281-288).
Springer DOI
0310
BibRef
Nielsen, M.,
Andersen, H.J.,
Granum, E.,
Comparative Study of Disparity Estimations with Multi-Camera
Configurations in Relation to Descriptive Parameters of Complex
Biological Objects,
BenCOS05(xx-yy).
PDF File.
0510
BibRef
Henze, F.,
Siedler, G.,
Vetter, S.,
Integration of digital image analysis for automated measurements into a
photogrammetric stereo evaluation system,
IEVM06(xx-yy).
PDF File.
0609
BibRef
Janowski, A.,
Sawicki, P.,
Szulwic, J.,
Internet database for photogrammetric close range applications,
IEVM06(xx-yy).
PDF File.
0609
Dataset, Photogrammetry.
BibRef
Robertson, G.[Gary],
Precise dynamic measurement of structures automatically utilizing
adaptive targeting,
IEVM06(xx-yy).
PDF File.
0609
Precise measurements of building walls.
BibRef
Parian, J.A.,
Grün, A.,
Cozzani, A.,
High accuracy space structures monitoring by a close-range
photogrammetric network,
IEVM06(xx-yy).
PDF File.
0609
BibRef
Tian, B.Z.[Bao-Zhong],
Barron, J.L.[John L.],
A Quantitative Comparison of 4 Algorithms for Recovering Dense Accurate
Depth,
CRV05(498-505).
IEEE DOI
0505
BibRef
Leclercq, P.,
Liu, J.,
Woodward, A.,
Delmas, P.,
Which Stereo Matching Algorithm for Accurate 3D Face Creation?,
IWCIA04(690-704).
Springer DOI
0505
Conclusion is that there is little difference for this task.
BibRef
Huang, Y.[Yuman],
Klette, R.[Reinhard],
A Comparison of Property Estimators in Stereology and Digital Geometry,
IWCIA04(421-431).
Springer DOI
0505
BibRef
Tappen, M.F.,
Freeman, W.T.,
Comparison of Graph Cuts with Belief Propagation for Stereo, Using
Identical MRF Parameters,
ICCV03(900-907).
IEEE DOI
0311
Comparison of Graph Cuts and Belief Propogation for the
same stereo algorithm.
BibRef
Cyganek, B.[Boguslaw],
Adaptive Window Growing Technique for Efficient Image Matching,
IbPRIA05(I:308).
Springer DOI
0509
BibRef
Earlier:
Comparison of Nonparametric Transformations and Bit Vector Matching for
Stereo Correlation,
IWCIA04(534-547).
Springer DOI
0505
To deal with featureless areas.
BibRef
Cyganek, B.[Boguslaw],
Computational Framework for Family of Order Statistic Filters for
Tensor Valued Data,
ICIAR06(I: 156-162).
Springer DOI
0610
BibRef
Earlier:
Matching of the Multi-channel Images with Improved Nonparametric
Transformations and Weighted Binary Distance Measures,
IWCIA06(74-88).
Springer DOI
0606
BibRef
Earlier:
Object Detection in Multi-channel and Multi-scale Images Based on the
Structural Tensor,
CAIP05(570).
Springer DOI
0509
See also Object Recognition with the HOSVD of the Multi-model Space-Variant Pattern Tensors.
BibRef
Cyganek, B.[Boguslaw],
Borgosz, J.[Jan],
An Improved Variogram Analysis of the Maximum Expected Disparity in
Stereo Images,
SCIA03(640-645).
Springer DOI
0310
BibRef
Earlier:
A Comparative Study of Performance and Implementation of Some
Area-Based Stereo Algorithms,
CAIP01(709 ff.).
Springer DOI
0210
BibRef
Leclercq, P.,
Morris, J.,
Robustness to noise of stereo matching,
CIAP03(606-611).
IEEE DOI
0310
BibRef
Elaksher, A.F.[Ahmed F.],
Elghazali, M.[Mohammed],
Sayed, A.[Ashraf],
Elmanadilli, Y.[Yasser],
Assessment of Two Cheap Close-Range Feature Extraction Systems,
PCV02(A: 97).
0305
BibRef
Soukup, L.[Lubomir],
Rigorous Quality Assessment of 3D Object Reconstruction for an
Arbitrary Configuration of Control Points,
PCV02(B: 263).
0305
BibRef
Baker, S.[Simon],
Sim, T.[Terence],
Kanade, T.[Takeo],
A Characterization of Inherent Stereo Ambiguities,
ICCV01(I: 428-435).
IEEE DOI
0106
BibRef
Schreer, O.,
Brandenburg, N.,
Kauff, P.,
A Comparative Study on Disparity Analysis Based on Convergent and
Rectified Views,
BMVC00(xx-yy).
PDF File.
0009
BibRef
Wang, J.Z.[James Ze],
Fischler, M.A.[Martin A.],
Visual Similarity, Judgemental Certainty and Stereo Correspondence,
DARPA98(1237-1248).
BibRef
9800
Albrecht, P.[Peter],
Michaelis, B.[Bernd],
Stereo Photogrammetry with Improved Spatial Resolution,
ICPR98(Vol I: 845-849).
IEEE DOI
9808
BibRef
Georgis, N.[Nikos],
Three Dimensional Reconstruction and Lay Planning
for Industrial Automation,
Ph.D.Thesis, Univ. of Surrey, December 1994.
BibRef
9412
Mandelbaum, R.,
Kamberova, G., and
Mintz, M.,
Stereo Depth Estimation: A Confidence Interval Approach,
ICCV98(503-509).
IEEE DOI
BibRef
9800
Kamberova, G.[Gerda], and
Bajcsy, R.[Ruzena],
Sensor Errors and the Uncertainties in Stereo Reconstruction,
EEMCV98(xx).
BibRef
9800
And:
EEMTV98(xx)
BibRef
Roy, S.[Sébastien],
Meunier, J.,
Cox, I.J.[Ingemar J.],
Cylindrical Rectification to Minimize Epipolar Distortion,
CVPR97(393-399).
IEEE Abstract.
IEEE DOI
9704
Remap images to a cylinder rather than a plane.
BibRef
Roy, S.[Sébastien],
Cox, I.J.[Ingemar J.],
Direct estimation of rotation from two frames via epipolar search,
CAIP95(880-887).
Springer DOI
9509
BibRef
Xiong, Y.,
Matthies, L.H.,
Error Analysis of a Real Time Stereo System,
CVPR97(1087-1093).
IEEE Abstract.
IEEE DOI
9704
Errors foreshortening, misalignment, systematic 0.3 pixel errors lead to
significant range errors. Correct these and improve precision.
BibRef
Rodin, V.,
Ayache, A.,
Axial Stereovision:
Modelization and Comparison Between two Calibration Methods,
ICIP94(II: 725-729).
IEEE DOI
9411
BibRef
Maimone, M.W.,
Shafer, S.A.,
A Taxonomy for Stereo Computer Vision Experiments,
PERF96(XX-YY).
HTML Version.
BibRef
9600
Nagao, K.,
Direct Methods for Evaluating the Planarity and Rigidity of a Surface
Using Only 2D Views,
ICPR96(I: 417-422).
IEEE DOI
9608
(Matsushita Electric Industrial Res. Lab., J)
BibRef
Baratoff, G.,
On the Sensitivity of Estimating Ordinal and Metric Structure
of Smooth Surfaces from Parallax,
ICPR96(I: 275-279).
IEEE DOI
9608
(Univ. of Maryland, USA)
BibRef
Ohta, Y.,
Satoh, K.,
Kitahara, I.,
Matsuura, T.,
Displaying Motion Parallax by Occlusion Detectable Stereo,
CVVRHC98(Sensing and Rendering Real Scenes).
BibRef
9800
Satoh, K.,
Ohta, Y.,
Occlusion Detectable Stereo:
Systematic Comparison of Detection Algorithms,
ICPR96(I: 280-286).
IEEE DOI
9608
(Univ. of Tsukuba, J)
BibRef
Bajcsy, R.K.,
Krotkov, E.P., and
Mintz, M.,
Models of Errors and Mistakes in Machine Perception, Part 1.
First Results for Computer Vision Range Measurements,
DARPA87(194-204).
Stereo, Evaluation. Error analysis for depth from focus, depth from point stereo,
and depth from line based stereo.
BibRef
8700
Nguyen, T.C.,
Huang, T.S.,
Quantization Errors in Axial Motion Stereo on
Rectangular-Tessellated Image Sensors,
ICPR92(I:13-16).
IEEE DOI
BibRef
9200
Chan, K.L.,
Forrest, A.K.,
An empirical study on the effects of spatial discretization error in a
stereo vision system,
BMVC90(xx-yy).
PDF File.
9009
BibRef
Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Stereo: Real Time Systems, Hardware Implementations .