10.1.10.3 Matching for Stereo, Varying Illumination, Radiometric Changes

Chapter Contents (Back)
Stereo, Matching. Illumination.

Chang, J.Y.[Ju Yong], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Stereo matching using iterative reliable disparity map expansion in the color-spatial-disparity space,
PR(40), No. 12, December 2007, pp. 3705-3713.
Elsevier DOI 0709
BibRef
Earlier:
A New Stereo Matching Model Using Visibility Constraint Based on Disparity Consistency,
ACIVS06(598-609).
Springer DOI 0609
BibRef
And:
Stereo Matching Using Iterated Graph Cuts and Mean Shift Filtering,
ACCV06(I:31-40).
Springer DOI 0601
Stereo matching; Graph cuts; Mean shift procedure
See also Shape from Shading Using Graph Cuts. BibRef

Heo, Y.S.[Yong Seok], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Joint Depth Map and Color Consistency Estimation for Stereo Images with Different Illuminations and Cameras,
PAMI(35), No. 5, May 2013, pp. 1094-1106.
IEEE DOI 1304
BibRef
Earlier:
Simultaneous color consistency and depth map estimation for radiometrically varying stereo images,
ICCV09(1771-1778).
IEEE DOI 0909
BibRef
And:
Mutual information-based stereo matching combined with SIFT descriptor in log-chromaticity color space,
CVPR09(445-452).
IEEE DOI 0906

See also Simultaneous Super-Resolution of Depth and Images Using a Single Camera. BibRef

Kim, W.S.[Won-Sik], Park, J.Y.[Joon-Young], Lee, K.M.[Kyoung Mu],
Stereo Matching Using Population-Based MCMC,
IJCV(83), No. 2, June 2009, pp. xx-yy.
Springer DOI 0903
BibRef
Earlier: A2, A1, A3: ACCV07(II: 560-569).
Springer DOI 0711
BibRef

Hirschmuller, H.[Heiko], Scharstein, D.[Daniel],
Evaluation of Stereo Matching Costs on Images with Radiometric Differences,
PAMI(31), No. 9, September 2009, pp. 1582-1599.
IEEE DOI 0907
Survey, Stereo Matching. BibRef
Earlier:
Evaluation of Cost Functions for Stereo Matching,
CVPR07(1-8).
IEEE DOI 0706
Evaluation w.r.t. radiometric changes. Pixel and window Bilateral Background Subtraction is among the best. Hierarchical Mutual Information (HMI) also good. BibRef

Hirschmuller, H.[Heiko], Gehrig, S.K.[Stefan K.],
Stereo matching in the presence of sub-pixel calibration errors,
CVPR09(437-444).
IEEE DOI 0906
BibRef

Nalpantidis, L.[Lazaros], Gasteratos, A.[Antonios],
Stereo vision for robotic applications in the presence of non-ideal lighting conditions,
IVC(28), No. 6, June 2010, pp. 940-951.
Elsevier DOI 1003
Stereo vision; Disparity map; Gestalt laws; HSL color space; Luminosity non-uniformity compensation Deal with illumination changes due to viewpoint. Adaptive Support Weight. BibRef

Jung, I.L.[Il-Lyong], Chung, T.Y., Sim, J.Y.[Jae-Young], Kim, C.S.[Chang-Su],
Consistent Stereo Matching Under Varying Radiometric Conditions,
MultMed(15), No. 1, January 2013, pp. 56-69.
IEEE DOI 1212
BibRef

Jung, I.L.[Il-Lyong], Sim, J.Y.[Jae-Young], Kim, C.S.[Chang-Su], Lee, S.U.[Sang-Uk],
Robust stereo matching under radiometric variations based on cumulative distributions of gradients,
ICIP13(2082-2085)
IEEE DOI 1402
3-D image processing BibRef

Jung, I.L.[Il-Lyong], Sim, J.Y.[Jae-Young], Kim, C.S.[Chang-Su],
Histogram-Based stereo matching under varying illumination conditions,
VCIP12(1-5).
IEEE DOI 1302
BibRef

Chaux, C., El-Gheche, M., Farah, J., Pesquet, J.C., Pesquet-Popescu, B.,
A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation,
JMIV(47), No. 3, November 2013, pp. 167-178.
Springer DOI 1309
BibRef

Gaetano, R., Chierchia, G., Pesquet-Popescu, B.,
Parallel implementations of a disparity estimation algorithm based on a Proximal splitting method,
VCIP12(1-6).
IEEE DOI 1302
BibRef

Qu, Y., Jiang, J., Deng, X., Zheng, Y.,
Robust local stereo matching under varying radiometric conditions,
IET-CV(8), No. 4, August 2014, pp. 263-276.
DOI Link 1407
BibRef

Xu, L.F.[Ling-Feng], Au, O.C., Sun, W.X.[Wen-Xiu], Fang, L.[Lu], Zou, F.[Feng], Li, J.L.[Jia-Li],
Stereo Matching with Optimal Local Adaptive Radiometric Compensation,
SPLetters(22), No. 2, February 2015, pp. 131-135.
IEEE DOI 1410
image matching BibRef

Mouats, T., Aouf, N.[Nabil], Richardson, M.A.[Mark A.],
A Novel Image Representation via Local Frequency Analysis for Illumination Invariant Stereo Matching,
IP(24), No. 9, September 2015, pp. 2685-2700.
IEEE DOI 1506
Fourier transforms BibRef

Kechagias-Stamatis, O.[Odysseas], Aouf, N.[Nabil], Richardson, M.A.[Mark A.],
Performance evaluation of single and cross-dimensional feature detection and description,
IET-IPR(14), No. 10, August 2020, pp. 2035-2051.
DOI Link 2008
BibRef

Xu, J.T.[Jin-Tao], Yang, Q.X.[Qing-Xiong], Tang, J.H.[Jin-Hui], Feng, Z.R.[Zu-Ren],
Linear Time Illumination Invariant Stereo Matching,
IJCV(119), No. 2, September 2016, pp. 179-193.
Springer DOI 1608
BibRef

Xu, J.T.[Jin-Tao], Yang, Q.X.[Qing-Xiong], Feng, Z.R.[Zu-Ren],
Occlusion-Aware Stereo Matching,
IJCV(120), No. 3, December 2016, pp. 256-271.
Springer DOI 1609
BibRef

Kim, Y.H.[Yong-Ho], Koo, J.[Jamin], Lee, S.K.[Sang-Keun],
Adaptive descriptor-based robust stereo matching under radiometric changes,
PRL(78), No. 1, 2016, pp. 41-47.
Elsevier DOI 1606
Stereo matching BibRef

Fu, Y., Chen, W., Lai, K., Zhou, Y., Tang, J.,
Rank-Based Encoding Features for Stereo Matching,
MultMedMag(26), No. 4, October 2019, pp. 28-42.
IEEE DOI 1912
Feature extraction, Lighting, Radiometry, Deep learning, Cost function, Correlation, pixel features, Spearman's rank relation BibRef

Choi, N.[Nakeun], Jang, J.[Jinbuem], Paik, J.[Joonki],
Illuminant-invariant stereo matching using cost volume and confidence-based disparity refinement,
JOSA-A(36), No. 10, October 2019, pp. 1768-1776.
DOI Link 1912
Color spaces, Computation methods, Face recognition, Light sources, Object detection, Stereo matching BibRef

Xu, C.L.[Cheng-Long], Wu, C.D.[Cheng-Dong], Qu, D.K.[Dao-Kui], Sun, H.B.[Hai-Bo], Song, J.L.[Ji-Lai],
Efficient and robust unsupervised inverse intensity compensation for stereo image registration under radiometric changes,
SP:IC(90), 2021, pp. 116054.
Elsevier DOI 2012
Image registration, 5-D vector, Photometric changes, Intensity compensation, RGB-Gradient tree BibRef

Xu, C.L.[Cheng-Long], Wu, C.[Chengdong], Qu, D.K.[Dao-Kui], Xu, F.[Fang], Sun, H.B.[Hai-Bo], Song, J.L.[Ji-Lai],
Accurate and Efficient Stereo Matching by Log-Angle and Pyramid-Tree,
CirSysVideo(31), No. 10, October 2021, pp. 4007-4019.
IEEE DOI 2110
Image segmentation, Image color analysis, Measurement, Optimization, Smoothing methods, Robustness, Matched filters, cost aggregation BibRef


Genser, N., Spruck, A., Seiler, J.[Jurgen], Kaup, A.[Andre],
Deep Learning Based Cross-Spectral Disparity Estimation For Stereo Imaging,
ICIP20(2536-2540)
IEEE DOI 2011
Image color analysis, Training, Cameras, Estimation, Machine learning, Photonics, Stereo matching, disparity estimation, cross-spectral imaging BibRef

Zhi, T., Pires, B.R., Hebert, M., Narasimhan, S.G.,
Deep Material-Aware Cross-Spectral Stereo Matching,
CVPR18(1916-1925)
IEEE DOI 1812

WWW Link. Code, Stereo Matching. Glass, Cameras, Light sources, Clothing, Task analysis BibRef

Zhou, X.Z.[Xiao-Zhou], Boulanger, P.[Pierre],
Radiometric invariant stereo matching based on relative gradients,
ICIP12(2989-2992).
IEEE DOI 1302
BibRef

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Matching for Stereo, Neural Network Applications, CNN .


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