10.1.10.4 Matching for Stereo, Correlation

Chapter Contents (Back)
Stereo, Matching. Correlation Matching. See also Correlation Based and Signal Matching Techniques.

Evangelidis, G.D.[Georgios D.], Psarakis, E.Z.[Emmanouil Z.],
Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization,
PAMI(30), No. 10, October 2008, pp. 1858-1865.
IEEE DOI 0810
BibRef
Earlier: A2, A1:
An Enhanced Correlation-Based Method for Stereo Correspondence with Sub-Pixel Accuracy,
ICCV05(I: 907-912).
IEEE DOI 0510
BibRef

Yang, Q.X.[Qing-Xiong], Wang, L.[Liang], Yang, R.G.[Rui-Gang], Stewénius, H.[Henrik], Nistér, D.[David],
Stereo Matching with Color-Weighted Correlation, Hierachical Belief Propagation and Occlusion Handling,
PAMI(31), No. 3, March 2009, pp. 492-504.
IEEE DOI 0902
BibRef
Earlier: CVPR06(II: 2347-2354).
IEEE DOI 0606
energy minimization global matching framework. With subpixel refinement. BibRef

Chang, X.F.[Xue-Feng], Zhou, Z.[Zhong], Wang, L.[Liang], Shi, Y.J.[Ying-Jie], Zhao, Q.P.[Qin-Ping],
Real-Time Accurate Stereo Matching Using Modified Two-Pass Aggregation and Winner-Take-All Guided Dynamic Programming,
3DIMPVT11(73-79).
IEEE DOI 1109
BibRef

Yang, Q.X.[Qing-Xiong], Wang, L.[Liang], Yang, R.G.[Rui-Gang],
Real-time Global Stereo Matching Using Hierarchical Belief Propagation,
BMVC06(III:989).
PDF File. 0609
BibRef

Wang, L.[Liang], Jin, H.L.[Hai-Lin], Yang, R.G.[Rui-Gang],
Search Space Reduction for MRF Stereo,
ECCV08(I: 576-588).
Springer DOI 0810
BibRef

Yu, W.R.[Wu-Rong], Xu, B.G.[Bu-Gao],
A sub-pixel stereo matching algorithm and its applications in fabric imaging,
MVA(20), No. 4, June 2009, pp. xx-yy.
Springer DOI 0904
Refinement based on correlation gradients. BibRef

Yu, W.R.[Wu-Rong], Xu, B.G.[Bu-Gao],
A portable stereo vision system for whole body surface imaging,
IVC(28), No. 4, April 2010, pp. 605-613.
Elsevier DOI 1002
Whole body scanner; 3D surface imaging; Stereo matching; Disparity BibRef

Chambon, S.[Sylvie], Crouzil, A.[Alain],
Similarity measures for image matching despite occlusions in stereo vision,
PR(44), No. 9, September 2011, pp. 2063-2075.
Elsevier DOI 1106
BibRef
Earlier:
Towards correlation-based matching algorithms that are robust near occlusions,
ICPR04(III: 20-23).
IEEE DOI 0409
BibRef
Earlier:
Dense Matching Using Correlation: New Measures That Are Robust Near Occlusions,
BMVC03(xx-yy).
HTML Version. 0409
Stereo vision; Image matching; Similarity; Correlation; Occlusions BibRef

Gales, G.[Guillaume], Crouzil, A.[Alain], Chambon, S.[Sylvie],
A Region-Based Randomized Voting Scheme for Stereo Matching,
ISVC10(II: 182-191).
Springer DOI 1011
BibRef

Bleyer, M.[Michael], Chambon, S.[Sylvie],
Does Color Really Help in Dense Stereo Matching?,
3DPVT10(xx-yy).
WWW Link. 1005
BibRef

Bleyer, M.[Michael], Chambon, S.[Sylvie], Poppe, U.[Uta], Gelautz, M.[Margrit],
Evaluation of Different Methods for Using Colour Information in Global Stereo Matching Approaches,
ISPRS08(B3a: 63 ff).
PDF File. 0807
BibRef

Bleyer, M.[Michael], Rhemann, C.[Christoph], Rother, C.[Carsten],
PatchMatch Stereo: Stereo Matching with Slanted Support Windows,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Lefebvre, S.[Sébastien], Ambellouis, S.[Sébastien], Cabestaing, F.[François],
A 1D approach to correlation-based stereo matching,
IVC(29), No. 9, August 2011, pp. 580-593.
Elsevier DOI 1109
Stereovision; Matching Process; Correlation; 1D Window; Fuzzy Logic; Confidence Map BibRef

Halawana, H.[Hachem], Macaire, L.[Ludovic], Cabestaing, F.[François],
Color Stereo Matching Cost Applied to CFA Images,
CCIW09(170-179).
Springer DOI 0903
BibRef

Kim, S.R.[Seung-Ryong], Ham, B.[Bumsub], Kim, B.[Bongjoe], Sohn, K.H.[Kwang-Hoon],
Mahalanobis Distance Cross-Correlation for Illumination-Invariant Stereo Matching,
CirSysVideo(24), No. 11, November 2014, pp. 1844-1859.
IEEE DOI 1411
affine transforms BibRef

Kim, S.[Sunok], Min, D.B.[Dong-Bo], Kim, S.R.[Seung-Ryong], Sohn, K.H.[Kwang-Hoon],
Unified Confidence Estimation Networks for Robust Stereo Matching,
IP(28), No. 3, March 2019, pp. 1299-1313.
IEEE DOI 1812
feature extraction, image matching, image reconstruction, neural nets, probability, stereo image processing, confidence estimation network BibRef

Kim, S.R.[Seung-Ryong], Min, D.B.[Dong-Bo], Ham, B.S.[Bum-Sub], Lin, S.[Stephen], Sohn, K.H.[Kwang-Hoon],
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence,
PAMI(41), No. 3, March 2019, pp. 581-595.
IEEE DOI 1902
Semantics, Convolutional codes, Estimation, Shape, Robustness, Training, Dense semantic correspondence, weakly-supervised learning BibRef
Earlier: Add A4: Jeon, S.[Sangryul], CVPR17(616-625)
IEEE DOI 1711
Cascading style sheets, Convolutional codes, Estimation, Robustness, Semantics, Training BibRef

Jeon, S.[Sangryul], Kim, S.R.[Seung-Ryong], Min, D.B.[Dong-Bo], Sohn, K.H.[Kwang-Hoon],
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence,
ECCV18(VI: 355-371).
Springer DOI 1810
BibRef

Son, J.[Jongin], Kim, S.R.[Seung-Ryong], Sohn, K.H.[Kwang-Hoon],
Fast affine-invariant image matching based on global Bhattacharyya measure with adaptive tree,
ICIP15(3190-3194)
IEEE DOI 1512
ASIFT BibRef

Ryu, S.C.[Seung-Chul], Kim, S.R.[Seung-Ryong], Sohn, K.H.[Kwang-Hoon],
LAT: Local area transform for cross modal correspondence matching,
PR(63), No. 1, 2017, pp. 218-228.
Elsevier DOI 1612
Cross-modal correspondence matching BibRef

Kim, S.R.[Seung-Ryong], Ryu, S.C.[Seung-Chul], Ham, B.[Bumsub], Kim, J.Y.[Junh-Yung], Sohn, K.H.[Kwang-Hoon],
Local self-similarity frequency descriptor for multispectral feature matching,
ICIP14(5746-5750)
IEEE DOI 1502
Correlation BibRef

Jeong, S., Kim, S.R.[Seung-Ryong], Ham, B.S.[Bum-Sub], Sohn, K.H.[Kwang-Hoon],
Convolutional cost aggregation for robust stereo matching,
ICIP17(2523-2527)
IEEE DOI 1803
Aggregates, Color, Convolution, Image color analysis, Kernel, Robustness, convolutional neural networks, cost aggregation, stereo matching BibRef

Kim, S.R.[Seung-Ryong], Yoo, H.[Hunjae], Ryu, S.C.[Seung-Chul], Ham, B.[Bumsub], Sohn, K.H.[Kwang-Hoon],
ABFT: Anisotropic binary feature transform based on structure tensor space,
ICIP13(2920-2923)
IEEE DOI 1402
Feature matching; anisotropic; binary feature; structure tensor BibRef

Kim, S.R.[Seung-Ryong], Min, D.B.[Dong-Bo], Ham, B.[Bumsub], Do, M.N.[Minh N.], Sohn, K.H.[Kwang-Hoon],
DASC: Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation,
PAMI(39), No. 9, September 2017, pp. 1712-1729.
IEEE DOI 1708
Benchmark testing, Image edge detection, Imaging, Optimization, Pattern analysis, Robustness, Dense correspondence, descriptor, edge-aware filtering, multi-modal, multi-spectral BibRef

Park, K.[Kihong], Kim, S.R.[Seung-Ryong], Ryu, S.[Seungchul], Sohn, K.H.[Kwang-Hoon],
Randomized Global Transformation Approach for Dense Correspondence,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Kim, S.R.[Seung-Ryong], Min, D.B.[Dong-Bo], Ham, B.[Bumsub], Ryu, S.[Seungchul], Do, M.N.[Minh N.], Sohn, K.H.[Kwang-Hoon],
DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence,
CVPR15(2103-2112)
IEEE DOI 1510
BibRef

Kim, S.R.[Seung-Ryong], Min, D.B.[Dong-Bo], Lin, S.[Stephen], Sohn, K.H.[Kwang-Hoon],
Deep Self-correlation Descriptor for Dense Cross-Modal Correspondence,
ECCV16(VIII: 679-695).
Springer DOI 1611
BibRef

Kim, S.R.[Seung-Ryong], Ham, B.[Bumsub], Ryu, S.C.[Seung-Chul], Kim, S.J.[Seon Joo], Sohn, K.H.[Kwang-Hoon],
Robust Stereo Matching Using Probabilistic Laplacian Surface Propagation,
ACCV14(I: 368-383).
Springer DOI 1504
BibRef

Kim, S.[Sunok], Min, D.[Dongbo], Kim, S.[Seungryong], Sohn, K.H.[Kwang-Hoon],
Feature Augmentation for Learning Confidence Measure in Stereo Matching,
IP(26), No. 12, December 2017, pp. 6019-6033.
IEEE DOI 1710
Estimation, Feature extraction, Gaussian mixture model, Robustness, Spatial coherence, Confidence measure, confidence feature augmentation, confidence map aggregation, ground control point, random regression forest BibRef

Dinh, V.Q., Pham, C.C., Jeon, J.W.,
Robust Adaptive Normalized Cross-Correlation for Stereo Matching Cost Computation,
CirSysVideo(27), No. 7, July 2017, pp. 1421-1434.
IEEE DOI 1707
Cost function, Distortion, Image color analysis, Mutual information, Radiometry, Robustness, Matching cost, radiometric distortion, stereo, correspondence BibRef


Li, G.J.[Gao-Jian],
Stereo matching using normalized cross-correlation in LogRGB space,
CVRS12(19-23).
IEEE DOI 1302
BibRef

Sanchez-Riera, J.[Jordi], Cech, J.[Jan], Horaud, R.[Radu],
Robust spatiotemporal stereo for dynamic scenes,
ICPR12(360-363).
WWW Link. 1302
BibRef

Kostliva, J.[Jana], Cech, J.[Jan], Sara, R.[Radim],
Feasibility Boundary in Dense and Semi-Dense Stereo Matching,
BenCOS07(1-8).
IEEE DOI 0706
BibRef

Kostková, J.[Jana], Cech, J.[Jan], Sára, R.[Radim],
Dense Stereomatching Algorithm Performance for View Prediction and Structure Reconstruction,
SCIA03(101-107).
Springer DOI 0310
BibRef

Cech, J.[Jan], Sára, R.[Radim],
Efficient Sampling of Disparity Space for Fast And Accurate Matching,
BenCOS07(1-8).
IEEE DOI 0706
BibRef
Earlier:
Complex Correlation Statistic for Dense Stereoscopic Matching,
SCIA05(598-608).
Springer DOI 0506
BibRef

Tsin, Y., Kanade, T.,
A correlation-based model prior for stereo,
CVPR04(I: 135-142).
IEEE DOI 0408
BibRef

Menard, C.[Christian], Leonardis, A.[Aleš],
Stereo matching using M-estimators,
CAIP97(305-312).
Springer DOI 9709
BibRef
Earlier:
Robust Stereo on Multiple Resolutions,
ICPR96(I: 910-914).
IEEE DOI 9608
(Technical Univ. Vienna, A) BibRef

Menard, C.[Christian], Kropatsch, W.G.[Walter G.],
Adaptive stereo matching in correlation scale-space,
CIAP97(I: 677-684).
Springer DOI 9709
BibRef

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Matching for Stereo, Wide Baseline Matching Issues .


Last update:Apr 20, 2019 at 12:32:38