12 Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces

12.1 Point Matching

Chapter Contents (Back)
Matching, Points.

12.1.1 Correlation Based and Signal Matching Techniques

Chapter Contents (Back)
Correlation Matching. Matching, Correlation.
See also Matching for Stereo, Correlation.

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HTML Version. match stored pattern. BibRef

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IEEE DOI BibRef 8910

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James, E.[Enoch], Stafford, R.[Raymond],
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US_Patent4,925,274, 05/15/1990
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Irani, G.B.[Geoffrey B.], Constantikes, K.T.[Kim T.], Shiflett, G.D.[Gary D.],
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US_Patent5,146,228, 01/24/1990.
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PAMI(15), No. 9, September 1993, pp. 850-863.
IEEE DOI
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Earlier: With A1, A3, A2:
Comparing Images Using the Hausdorff Distance under Translation,
CVPR92(654-656).
IEEE DOI Similar to a binary correlation. BibRef

Grimson, W.E.L., Huttenlocher, D.P.[Daniel P.],
Analyzing the Probability of a False Alarm for the Hausdorff Distance Under Translation,
ARPA94(II:1257-1262). BibRef 9400

Huttenlocher, D.P.[Daniel P.], Jaquith, E.W.[Eric W.],
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Huttenlocher, D.P.[Daniel P.], Jaquith, E.W.[Eric W.],
Computing Visual Correspondence: Incorporating the Probability of a False Match,
ICCV95(515-522).
IEEE DOI A formal model of missing and poor matches. BibRef 9500

Rucklidge, W.J.[William J.],
Efficiently Locating Objects Using The Hausdorff Distance,
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DOI Link 9710
BibRef
Earlier:
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IEEE DOI A template-like match for affine transformations, uses detected features. See the code:
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Huttenlocher, D.P., and Rucklidge, W.J.,
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Caelli, T.M., and Nagendran, S.,
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CVGIP(39), No. 2, August 1987, pp. 131-143.
Elsevier DOI This paper does not reference the one by Andrus. Cross-correlation of only the edge information is developed for a pipeline pixel processor. A polar technique is used for rotation and size differences. BibRef 8708

Bailey, H.H., Blackwell, F.W., Loveney, C.L., and Ratkovic, J.A.,
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Rand-2057/1-PR, November 1976, Santa Monica, CA. Simulation and Analysis; target acquisition; map matching; correlation matching; metric to maximize, limit errors due to changes and errors - what is best and why-i.e., images without added edges are best because they are not gaussian. BibRef 7611

Bailey, H.H., Blackwell, F.W., Loveney, C.L., and Ratkovic, J.A., Wesseley, H.W.,
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Witkin, A.P.[Andrew P.], Terzopoulos, D.[Demetri], and Kass, M.[Michael],
Signal Matching Through Scale Space,
IJCV(1), No. 2, 1987, pp. 133-144.
Springer DOI BibRef 8700
Earlier: AAAI-86(714-719). Scale Space. The problem is to recover the deformation that maps one set of signals to another. A minimization of energy measure is used. This is developed from the earlier work. BibRef

Terzopoulos, D., Witkin, A.P., Kass, M.,
Stereo Matching as Constrained Optimization Using Scale Continuation Methods,
SPIE(754), January 1987, pp. xx. BibRef 8701

Kass, M.[Michael],
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DARPA83(54-60). BibRef 8300
And:
A Computational Framework for the Visual Correspondence Problem,
IJCAI83(1043-1045). Combination of different size gaussian filters in a stochastic model of the image to solve the correspondence problem. BibRef

Luo, A., Burkhardt, H.,
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Springer DOI Left to right checking on match. BibRef 9507

Calitz, M.F., Ruther, H.,
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Helm, J.D., McNeill, S.R., Sutton, M.A.,
Improved 3-Dimensional Image Correlation for Surface Displacement Measurement,
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And: Correction: OptEng(36), No. 8, August 1997, pp. 2361. BibRef

Sutton, M.A., Cheng, M., Peters, W.H., Chao, Y.J., McNeill, S.R.,
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IVC(4), No. 3, August 1986, pp. 143-150.
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van der Meer, F., Bakker, W.,
CCSM: Cross Correlogram Spectral Matching,
JRS(18), No. 5, March 20 1997, pp. 1197-1201. 9704
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Binaghi, E., della Ventura, A., Rampini, A., Schettini, R.,
Fuzzy Reasoning Approach to Similarity Evaluation in Image Analysis,
IJIS(8), 1993, pp. 749-767. BibRef 9300

Wilson, D.L., Baddeley, A.J., Owens, R.A.,
A New Metric for Gray-Scale Image Comparison,
IJCV(24), No. 1, August 1997, pp. 5-17.
DOI Link 9709
BibRef

Lee, M.C.[Ming-Chieh],
Pixel block correlation process,
US_Patent5,784,175, Jul 21, 1998
WWW Link. BibRef 9807
And:
Polygon block matching method,
US_Patent5,796,855, Aug 18, 1998
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Neff, M.G.[Michael G.], Johnson, T.L.[Ted L.], Wright, S.A.[Steven A.], Ratkowski, Jr., V.E.[Victor E.],
Image processing method and apparatus for correlating a test image with a template,
US_Patent5,809,171, Sep 15, 1998
WWW Link. BibRef 9809
And: US_Patent5,982,930, Nov 9, 1999
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And: US_Patent5,982,945, Nov 9, 1999
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Bhat, D.N.[Dinkar N.], Nayar, S.K.[Shree K.],
Ordinal Measures for Image Correspondence,
PAMI(20), No. 4, April 1998, pp. 415-423.
IEEE DOI 9806
BibRef
Earlier:
Ordinal Measures for Visual Correspondence,
CVPR96(351-357).
IEEE DOI BibRef
And: ColumbiaTR CUCS-009-96, 1996. Correlation and sum of squared differences have problems. Ordinal measures use relative ordering of intensity values. General tool for matching. BibRef

Bhat, D.N.[Dinkar N.],
An Evolutionary Measure for Image Matching,
ICPR98(Vol I: 850-852).
IEEE DOI 9808
Correspondence BibRef

Edwards, J.L., Murase, H.[Hiroshi],
Coarse-to-Fine Adaptive Masks for Appearance Matching of Occluded Scenes,
MVA(10), No. 5-6, April 1998, pp. 232-242.
Springer DOI 9805
BibRef
Earlier:
Appearance Matching of Occluded Objects Using Coarse-to-Fine Adaptive Masks,
CVPR97(533-539).
IEEE DOI 9704
Shapes at different resolutions. BibRef

Lan, Z.D.[Zhong-Dan], Mohr, R.[Roger],
Direct Linear Sub-Pixel Correlation by Incorporation of Neighbor Pixels Information and Robust Estimation of Window Transformation,
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BibRef
Earlier:
Robust location based partial correlation,
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Lan, Z.D.[Zhong-Dan], Mohr, R.[Roger], Remagnino, P.,
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And:
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See also Comparing Images Using the Hausdorff Distance. ).
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Izquierdo, M.E.,
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Earlier:
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Chiu, C.C.[Chin-Chuan], Oki, T.[Toru], Paolella, P.[Philip],
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Stereo Matching by Compact Windows via Minimum Ratio Cycle,
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Olson, C.F.[Clark F.],
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Information theory BibRef
And: A2, A1:
Change detection in bi-temporal data by canonical information analysis,
MultiTemp15(1-4)
IEEE DOI 1511
information analysis BibRef

Tong, X.H.[Xiao-Hua], Ye, Z.[Zhen], Xu, Y.S.[Yu-Sheng], Liu, S.J.[Shi-Jie], Li, L.Y.[Ling-Yun], Xie, H.[Huan], Li, T.P.[Tian-Peng],
A Novel Subpixel Phase Correlation Method Using Singular Value Decomposition and Unified Random Sample Consensus,
GeoRS(53), No. 8, August 2015, pp. 4143-4156.
IEEE DOI 1506
correlation methods BibRef

Alba, A.[Alfonso], Vigueras-Gomez, J.F.[J. Flavio], Arce-Santana, E.R.[Edgar R.], Aguilar-Ponce, R.M.[Ruth M.],
Phase correlation with sub-pixel accuracy: A comparative study in 1D and 2D,
CVIU(137), No. 1, 2015, pp. 76-87.
Elsevier DOI 1506
Phase correlation BibRef

Alba, A.[Alfonso], Arce-Santana, E.R.[Edgar R.],
Experimental Evaluation of Rigid Registration Using Phase Correlation Under Illumination Changes,
ISVC15(I: 151-161).
Springer DOI 1601
BibRef

Klausner, N., Azimi-Sadjadi, M.R., Scharf, L.L.,
Saddlepoint Approximations for Correlation Testing Among Multiple Gaussian Random Vectors,
SPLetters(23), No. 5, May 2016, pp. 703-707.
IEEE DOI 1604
Coherence BibRef

Guo, Y.W.[Yi-Wen], Ding, X.Q.[Xiao-Qing], Liu, C.S.[Chang-Song], Xue, J.H.[Jing-Hao],
Sufficient Canonical Correlation Analysis,
IP(25), No. 6, June 2016, pp. 2610-2619.
IEEE DOI 1605
computer vision BibRef

Hua, Y., Wang, S., Liu, S., Cai, A., Huang, Q.,
Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation,
MultMed(18), No. 6, June 2016, pp. 1201-1216.
IEEE DOI 1605
BibRef
And: Corrections: MultMed(18), No. 10, October 2016, pp. 2127-2127.
IEEE DOI 1610
Adaptation models. Learning (artifical intelligence) BibRef

Yang, S.[Sai], Xiao, B.[Bo], Yan, L.P.[Li-Ping], Xia, Y.Q.[Yuan-Qing], Fu, M.Y.[Meng-Yin], Liu, Y.[Yang],
Robust scene matching method based on sparse representation and iterative correction,
IVC(60), No. 1, 2017, pp. 115-123.
Elsevier DOI 1704
Scene matching BibRef

Sahnoune, A.[Ahmed], Berkani, D.[Daoud],
On the correlation of chaotic signals generated by multimodal skew tent map,
SIViP(12), No. 7, October 2018, pp. 1273-1278.
WWW Link. 1809
BibRef

Xiao, L., Li, H., Liu, Y., Wang, X.,
Distributed Target Detection Based on the Volume Cross-Correlation Function,
SPLetters(25), No. 12, December 2018, pp. 1785-1789.
IEEE DOI 1812
correlation methods, Gaussian noise, object detection, white noise, distributed target detection, volume cross-correlation (VCC) function BibRef

Ye, Z., Tong, X., Zheng, S., Guo, C., Gao, S., Liu, S., Xu, X., Jin, Y., Xie, H., Liu, S., Chen, P.,
Illumination-Robust Subpixel Fourier-Based Image Correlation Methods Based on Phase Congruency,
GeoRS(57), No. 4, April 2019, pp. 1995-2008.
IEEE DOI 1904
correlation methods, Fourier analysis, image representation, phase estimation, subpixel Fourier-based image correlation BibRef

Xu, J.H.[Jia-Hong], Cai, C.[Cheng], Ning, J.F.[Ji-Feng], Li, Y.S.[Yun-Song],
Robust correlation filter tracking via context fusion and subspace constraint,
JVCIR(62), 2019, pp. 182-192.
Elsevier DOI 1908
Object tracking, Correlation filter, Context fusion, Subspace constraint, Model update BibRef

Pei, S., Chang, K.,
Arbitrary Length Perfect Integer Sequences Using All-Pass Polynomial,
SPLetters(26), No. 8, August 2019, pp. 1112-1116.
IEEE DOI 1908
correlation methods, Gaussian processes, polynomials, sequences, set theory, perfect sequence, polynomial BibRef

Ziou, D.[Djemel], Rodriguez, D.R.[Dayron Rizo], Nacereddine, N.[Nafaa], Tabbone, S.[Salvatore],
A novel correlation filter based on variational calculus,
SP:IC(78), 2019, pp. 77-85.
Elsevier DOI 1909
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And: Corrigendum: SP:IC(78), 2019, pp. 511.
Elsevier DOI 1909
Correlation filter, Variational calculus, Face identification, Illumination variation, Single training image, Pose classification BibRef

Gao, X., Niu, S., Sun, Q.,
Two-Directional Two-Dimensional Kernel Canonical Correlation Analysis,
SPLetters(26), No. 11, November 2019, pp. 1578-1582.
IEEE DOI 1911
correlation methods, image processing, vectors, nonlinear correlation, two-directional two-dimensional canonical correlation analysis BibRef

Alasti, H.,
Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach,
SPLetters(26), No. 12, December 2019, pp. 1728-1732.
IEEE DOI 2001
correlation methods, curve fitting, extrapolation, gradient methods, sensor fusion, spatiotemporal phenomena, stochastic gradient BibRef

Atkinson, D.[Devan], Becker, T.[Thorsten],
A 117 Line 2D Digital Image Correlation Code Written in MATLAB,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
Code, Correlation. BibRef
And: Correction: RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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Gao, L.[Lei], Guan, L.[Ling],
A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis,
SPLetters(27), 2020, pp. 1894-1898.
IEEE DOI 2011
Correlation, Tensile stress, Mathematical model, Computational complexity, Optimization, discriminative tensor representation learning BibRef

Gao, L.[Lei], Qi, L.[Lin], Guan, L.[Ling],
A discriminant kernel entropy-based framework for feature representation learning,
JVCIR(81), 2021, pp. 103366.
Elsevier DOI 2112
Kernel entropy component analysis, Discriminant analysis, Feature representation learning, Iris visualization, Object recognition BibRef

McDonald, J.[Joseph], Bernstein, B.[Brett], Fernandez-Granda, C.[Carlos],
A Sampling Theorem for Deconvolution in Two Dimensions,
SIIMS(13), No. 4, 2020, pp. 1754-1780.
DOI Link 2012
estimating a two-dimensional superposition of point sources or spikes from samples of their convolution with a Gaussian kernel. BibRef

Dematteis, N.[Niccolň], Giordan, D.[Daniele],
Comparison of Digital Image Correlation Methods and the Impact of Noise in Geoscience Applications,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Yu, J.[Jing], Lu, Y.H.[Yu-Hang], Zhang, W.F.[Wei-Feng], Qin, Z.C.[Zeng-Chang], Liu, Y.B.[Yan-Bing], Hu, Y.[Yue],
Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention,
PRL(130), 2020, pp. 189-198.
Elsevier DOI 2002
Cross-modal correlation, Inter-word semantics, Fine-grained correlation, Stacked co-attention, Cross-modal retrieval BibRef

Lai, H., Xu, W.,
Robust Kernel Correlation Based Bi-Channel Signal Detection With Correlated Non-Gaussian Noise,
SPLetters(28), 2021, pp. 165-169.
IEEE DOI 2102
Kernel, Correlation, Detectors, Probability, Signal processing algorithms, Signal detection, Gaussian mixture (GM) distribution BibRef

Zhang, S.[Silu], Dang, X.[Xin], Nguyen, D.[Dao], Wilkins, D.[Dawn], Chen, Y.X.[Yi-Xin],
Estimating Feature-Label Dependence Using Gini Distance Statistics,
PAMI(43), No. 6, June 2021, pp. 1947-1963.
IEEE DOI 2106
Correlation, Feature extraction, Random variables, Kernel, Convergence, Redundancy, Mutual information, Energy distance, supervised learning BibRef

Li, X.R.[Xin-Rong], Xiu, X.C.[Xian-Chao], Liu, W.Q.[Wan-Quan], Miao, Z.H.[Zhong-Hua],
An Efficient Newton-Based Method for Sparse Generalized Canonical Correlation Analysis,
SPLetters(29), 2022, pp. 125-129.
IEEE DOI 2202
Optimization, Signal processing algorithms, Minimization, Mathematical models, Correlation, Convergence, Sparse matrices, Newton method BibRef

Li, Y.Z.[Yuan-Zhe], Hu, W.D.[Wei-Dong], Fan, H.Q.[Hong-Qi], Du, X.Y.[Xiao-Yong],
Phase-Coded Sequence Design for Local Shaping of Complete Second-Order Correlation,
SPLetters(31), 2024, pp. 571-575.
IEEE DOI 2402
Correlation, Eigenvalues and eigenfunctions, Signal processing algorithms, Minimization, Radar applications, second-order correlation BibRef


Yu, Z.F.[Zi-Fan], You, S.[Suya],
Object Detection on Monocular Images with Two-Dimensional Canonical Correlation Analysis,
ICPR21(5905-5912)
IEEE DOI 2105
Deep learning, Correlation, Semantics, Object detection, Feature extraction, Robustness, Cognition, object detection, canonical correlation analysis (CCA) BibRef

Li, M., Li, Y., Huang, S.L., Zhang, L.,
Semantically Supervised Maximal Correlation For Cross-Modal Retrieval,
ICIP20(2291-2295)
IEEE DOI 2011
Correlation, Semantics, Feature extraction, Task analysis, Data mining, Internet, Encyclopedias, Cross-modal Retrieval, Deep Learning BibRef

Matsuura, T.[Toshihiko], Saito, K.[Kuniaki], Ushiku, Y.[Yoshitaka], Harada, T.[Tatsuya],
Generalized Bayesian Canonical Correlation Analysis with Missing Modalities,
MultLearnApp18(VI:641-656).
Springer DOI 1905
BibRef

Hoshen, Y., Wolf, L.B.[Lior B.],
Unsupervised Correlation Analysis,
CVPR18(3319-3328)
IEEE DOI 1812
Correlation, Task analysis, Kernel, Training, Facebook BibRef

Millikan, B., Foroosh, H., Sun, Q.,
Deep Convolutional Neural Networks with Integrated Quadratic Correlation Filters for Automatic Target Recognition,
PBVS18(1303-13037)
IEEE DOI 1812
Target recognition, Correlation, Training, Object detection, Standards, Convolutional neural networks BibRef

Subramaniam, A., Balasubramanian, P., Mittal, A.,
NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations,
WACV18(1944-1953)
IEEE DOI 1806
convolution, entropy, face recognition, feature extraction, image classification, image matching, Task analysis BibRef

Zhang, S.Z.[Shi-Zhi], Wakahara, T., Yamashita, Y.,
Image matching using GPT correlation associated with simplified HOG patterns,
IPTA17(1-6)
IEEE DOI 1804
BibRef
Earlier:
Theoretical criterion for image matching using GPT correlation,
ICPR16(555-560)
IEEE DOI 1705
affine transforms, 2D projection transformation, GAT/GPT matchings, GAT/GPT-superimposed image. Approximation algorithms, Correlation, Databases, Feature extraction, Image matching, Kernel, Mathematical model BibRef

Chen, W.J.,
Two dimensional translation detection by comprehensively calculating three cross-correlations,
IPTA16(1-6)
IEEE DOI 1703
image processing BibRef

Lapin, I., Farkaš, P.,
Ambiguity function of two-dimensional orthogonal complete complementary codes,
WSSIP16(1-4)
IEEE DOI 1608
Doppler shift BibRef

Dávideková, M., Farkaš, P., Gregušml, M.,
Analysis of the correlation properties of QOCCC,
WSSIP16(1-4)
IEEE DOI 1608
QOCCC: Quasi orthogonal complete complementary codes. correlation methods BibRef

Shao, J., Zhao, Z., Su, F., Yue, T.,
3View deep canonical correlation analysis for cross-modal retrieval,
VCIP15(1-4)
IEEE DOI 1605
Correlation BibRef

Reichenbach, M., Kasparek, M., Alawieh, M., Häublein, K., Fey, D.,
Real-time correlation for locating systems utilizing heterogeneous computing architectures,
DASIP15(1-8)
IEEE DOI 1605
graphics processing units BibRef

Bouzidi, F., Charfi, E., Ghozzi, F., Fakhfakh, A.,
Implementation of optical correlator for face recognition applications,
ICCVIA15(1-5)
IEEE DOI 1603
Fraunhofer diffraction BibRef

Mester, R.[Rudolf], Conrad, C.[Christian],
When Patches Match: A Statistical View on Matching under Illumination Variation,
ICPR14(4364-4369)
IEEE DOI 1412
Correlation BibRef

Palubinskas, G.[Gintautas],
Mystery behind similarity measures mse and SSIM,
ICIP14(575-579)
IEEE DOI 1502
Correlation coefficient BibRef

Kim, H.W.J.[Hyun-Woo J.], Smith, B.M.[Brandon M.], Adluru, N.[Nagesh], Dyer, C.R.[Charles R.], Johnson, S.C.[Sterling C.], Singh, V.[Vikas],
Abundant Inverse Regression Using Sufficient Reduction and Its Applications,
ECCV16(III: 570-584).
Springer DOI 1611
BibRef

Kim, H.W.J.[Hyun-Woo J.], Adluru, N.[Nagesh], Bendlin, B.B.[Barbara B.], Johnson, S.C.[Sterling C.], Vemuri, B.C.[Baba C.], Singh, V.[Vikas],
Canonical Correlation Analysis on Riemannian Manifolds and Its Applications,
ECCV14(II: 251-267).
Springer DOI 1408
BibRef

Robles-Kelly, A.[Antonio],
Max-Correlation Embedding Computation,
SSSPR14(113-122).
Springer DOI 1408
BibRef

Schubert, F.[Falk], Mikolajczyk, K.[Krystian],
Benchmarking GPU-Based Phase Correlation for Homography-Based Registration of Aerial Imagery,
CAIP13(II:83-90).
Springer DOI 1311
BibRef

Fernandez, J.A.[Joseph A.], Vijaya Kumar, B.V.K.,
Multidimensional overlap-add and overlap-save for correlation and convolution,
ICIP13(509-513)
IEEE DOI 1402
Algorithm design and analysis BibRef

Ma, D.[Ding], Zhai, X.H.[Xiao-Hua], Peng, Y.X.[Yu-Xin],
Cross-media retrieval by cluster-based correlation analysis,
ICIP13(3986-3990)
IEEE DOI 1402
cluster analysis;correlation analysis;cross-media retrieval;multimedia BibRef

Su, Y.[Ya], Wang, S.J.[Sheng-Jin], Fu, Y.[Yun],
Evaluation of canonical correlation analysis: A Correlation Generation Model,
ICPR12(1751-1754).
WWW Link. 1302
Correlation between 2 multi-dimensional variables BibRef

dos Santos, J.A., Penatti, O.A.B., da Silva Torres, R.[Ricardo], Gosselin, P.H., Philipp-Foliguet, S., Falcao, A.X.,
Improving texture description in remote sensing image multi-scale classification tasks by using visual words,
ICPR12(3090-3093).
WWW Link. 1302
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dos Santos, J.A., Faria, F.A., da Silva Torres, R.[Ricardo], Rocha, A., Gosselin, P.H., Philipp-Foliguet, S., Falcao, A.X.,
Descriptor correlation analysis for remote sensing image multi-scale classification,
ICPR12(3078-3081).
WWW Link. 1302
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Cavy, B.[Benjamin], Svalbe, I.[Imants],
Construction of Perfect Auto-correlation Arrays and Zero Cross-correlation Arrays from Discrete Projections,
IWCIA15(232-243).
Springer DOI 1601
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Svalbe, I.,
Near Perfect Correlation Functions Based on Zero-Sum Projections,
DICTA11(627-632).
IEEE DOI 1205
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Marburg, A., Hayes, M.P., Bainbridge-Smith, A.,
Pose Priors for Aerial Image Registration,
DICTA13(1-8)
IEEE DOI 1402
cameras BibRef

Stowers, J., Hayes, M.P., Bainbridge-Smith, A.,
Phase correlation using shear average for image registration,
IVCNZ10(1-6).
IEEE DOI 1203
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Wong, D.R., Hayes, M.P., Bainbridge-Smith, A.,
IMU-aided SURF feature matching for relative pose estimation,
IVCNZ10(1-6).
IEEE DOI 1203
BibRef

Han, X.H.[Xian-Hua], Chen, Y.W.[Yen-Wei], Ruan, X.[Xiang],
Canonical correlation analysis of local feature set for view-based object recognition,
ICIP11(3601-3604).
IEEE DOI 1201
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Yang, Z.W.[Zheng-Wei], Shen, G.R.[Guang-Rong], Wang, W.[Wei], Qian, Z.H.[Zhen-Hua], Ke, Y.[Ying],
Spatial-spectral cross correlation for reliable multispectral image registration,
AIPR09(1-8).
IEEE DOI 0910
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Schairer, T.[Timo], Herholz, S.[Sebastian], Huhle, B.[Benjamin], Straser, W.[Wolgang],
SIFT vs. SOFT: A comparison of feature and correlation based rotation estimation for panoramic images,
3DTV10(1-4).
IEEE DOI 1006
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Huhle, B., Schairer, T., Strasser, W.,
Normalized Cross-Correlation using SOFT,
LNLA09(82-86).
IEEE DOI 0908

See also 6DoF Registration of 2D Laser Scans. BibRef

Wang, Y.Z.[Yang-Zhi], Xu, C.Q.[Cheng-Qian], Li, X.[Xin],
Discussion on the Construction of Optimal ZCZ Sequence Set,
CISP09(1-4).
IEEE DOI 0910
zero correlation zone BibRef

Wang, W.J.[Wen-Jie], Zhao, Z.M.[Zhong-Ming], Zhu, H.Q.[Hai-Qing],
Hyperspectral Image Compression Method Based on Spectral Statistical Correlation,
CISP09(1-5).
IEEE DOI 0910
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Wang, Y.[Yong], Zhu, M.[Ming],
Input Plane Preprocessing of Joint Transform Correlator Based on Swarm Intelligence,
CISP09(1-6).
IEEE DOI 0910
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Wang, B.[Bin], Xu, X.X.[Xiao-Xuan], Zheng, Y.F.[Yi-Fan], Zhang, Y.J.[Yu-Jia], Hu, C.X.[Cheng-Xue], Zhang, C.Z.[Cun-Zhou],
The Comparison Between Spectral Similarity Mapping and Correlation Algorithm in Spectral Imaging Application,
CISP09(1-4).
IEEE DOI 0910
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Bolme, D.S.[David S.], Draper, B.A.[Bruce A.], Beveridge, J.R.[J. Ross],
Average of Synthetic Exact Filters,
CVPR09(2105-2112).
IEEE DOI 0906
A class of correlation filters. BibRef

Vigneron, V.,
Correlation, Independance and Inverse Modeling,
ICISP08(570-579).
Springer DOI 0807
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Feng, W.[Wei], Hu, B.[Bo], Yang, C.[Cheng],
A quaternion phase-only correlation algorithm for color images,
ICIP08(461-464).
IEEE DOI 0810
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Kowalczyk, M., Koza, P., Kupidura, P., Marciniak, J.,
Application of Mathematical Morphology Operations for Simplification and Improvement of Correlation of Images in Close-Range Photogrammetry,
ISPRS08(B5: 153 ff).
PDF File. 0807
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Engin, Z.[Zeynep], Lim, M.[Melvin], Bharath, A.A.[Anil Anthony],
Gradient Field Correlation for Keypoint Correspondence,
ICIP07(II: 481-484).
IEEE DOI 0709
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Wessel, B., Huber, M., Roth, A.,
Registration of Near Real-Time SAR Images by Image-to-Image Matching,
PIA07(179).
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Guo, G.D.[Guo-Dong], Dyer, C.R.[Charles R.],
Patch-based Image Correlation with Rapid Filtering,
BP07(1-6).
IEEE DOI 0706
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Joshi, A.[Ashutosh], Nagy, G.[George], Lopresti, D.P.[Daniel P.], Seth, S.C.[Sharad C.],
A Maximum-Likelihood Approach to Symbolic Indirect Correlation,
ICPR06(III: 99-103).
IEEE DOI 0609
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Patricio, M.P., Cabestaing, F., Colot, O., Bonnet, P.,
A similarity-based adaptive neighborhood method for correlation-based stereo matching,
ICIP04(II: 1341-1344).
IEEE DOI 0505
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Sorgi, L.[Lorenzo], Daniilidis, K.[Kostas],
Normalized Cross-Correlation for Spherical Images,
ECCV04(Vol II: 542-553).
Springer DOI 0405
Correlation with omni-directional images. BibRef

Singh, M.[Maneesh], Arora, H.[Himanshu], Ahuja, N.[Narendra],
Robust Registration and Tracking Using Kernel Density Correlation,
VideoRegister04(174).
IEEE DOI 0502
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Personnaz, M.[Matthieu], Sturm, P.F.[Peter F.],
Specifications of the software videomatch 1.1,
INRIART-0260, Mars 2002.
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Personnaz, M.[Matthieu], Sturm, P.F.[Peter F.], Devernay, F.[Frédéric],
Design of a Library for Dense Matching,
INRIART-0278, Avril 2003.
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Fitch, A.J., Kadyrov, A., Christmas, W.J., Kittler, J.V.,
Orientation Correlation,
BMVC02(Matching/Recognition). 0208
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Clerc, M.,
Wavelet-Based Correlation for Stereopsis,
ECCV02(II: 495 ff.).
Springer DOI 0205
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Gimel'farb, G.L.[Georgy L.], Zhong, J.[Jian],
Matching Multiple Views by the Least Square Correlation,
WTRCV01(105). 0103
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Pitter, M., See, C., Somekh, M.,
Fast Subpixel Digital Image Correlation Using Artificial Neural Networks,
ICIP01(II: 901-904).
IEEE DOI 0108
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Bogush, R., Maltsev, S., Ablameyko, S.V., Uchida, S., Kamata, S.,
An efficient correlation computation method for binary images based on matrix factorisation,
ICDAR01(312-316).
IEEE DOI 0109
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Werth, P.[Peter], Scherer, S.[Stefan],
A Novel Bidirectional Framework for Control and Refinement of Area Based Correlation Techniques,
ICPR00(Vol III: 730-733).
IEEE DOI
IEEE DOI 0009
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MacLean, J., Tsotsos, J.,
Fast Pattern Recognition Using Gradient-descent Search in an Image Pyramid,
ICPR00(Vol II: 873-877).
IEEE DOI 0009
For using correlation. BibRef

Pedersini, F., Sarti, A., Tubaro, S.,
Multi-resolution Area Matching,
ICIP00(Vol I: 553-556).
IEEE DOI 0008
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Hansen, B.B.[Bruce B.], Morse, B.S.[Bryan S.],
Multiscale Image Registration Using Scale Trace Correlation,
CVPR99(II: 202-208).
IEEE DOI BibRef 9900

Scherer, S.[Stefan], Werth, P.[Peter], Pinz, A.[Axel],
The Discriminatory Power of Ordinal Measures: Towards a New Coefficient,
CVPR99(I: 76-81).
IEEE DOI Analysis of:
See also Ordinal Measures for Image Correspondence. shows it has problems, so introduce a new normalized version. BibRef 9900

Werth, P.[Peter], Scherer, S.[Stefan], Pinz, A.[Axel],
Subpixel Stereo Matching by Robust Estimation of Local Distortion Using Gabor Filters,
CAIP99(641-648).
Springer DOI 9909
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Sezgin, M., Tacaltin, R.,
A Novel Multilevel Thresholding Method Based on Finding the Consistent Peak of Correlation Function,
MVA98(xx-yy). BibRef 9800

Scherer, S.[Stefan], Andexer, W.[Wilfried], Pinz, A.[Axel],
Robust Adaptive Window Matching by Homogeneity Constraint and Integration of Descriptions,
ICPR98(Vol I: 777-779).
IEEE DOI 9808
BibRef

Crouzil, A., Castan, S., Massip-Pailhes, L.,
A New Correlation Criterion Based on Gradient Fields Similarity,
ICPR96(I: 632-636).
IEEE DOI 9608
(Universite P. Sabatier, F) BibRef

Fisher, R.B., and Oliver, P.,
Multi-Variate Cross-Correlation and Image Matching,
BMVC95(623-632).
PDF File. BibRef 9500
And: DAI-No. 756, 1995. BibRef Edinburgh BibRef

Shapiro, V.[Vladimir],
Cross-correlation with reconstruction: A new approach to pattern matching,
CAIP93(548-555).
Springer DOI 9309
BibRef

Förstner, W.,
Quality Assessment of Object Location and Point Transfer Using Digital Image Correlation Techniques,
ISPRS84(xx)
HTML Version. BibRef 8400

Förstner, W.,
A Feature Based Correspondence Algorithm for Image Matching,
ISPRS86(III: 150-166).
PDF File. BibRef 8600

Förstner, W.,
Digital Image Matching Techniques for Standard Photogrammetric Applications,
Proc. ACSM-ASP(xx-yy). Convention, Washington, DC, March 1986. BibRef 8603

Förstner, W.,
On the Geometric Precision of Digital Correlation,
ISPRS82(Commission III, XXV, 176-189).
PDF File. BibRef 8200

Horswill, I.D.,
Proximity Detection Using a Filter Tuned in Three-Space,
DARPA92(973-978). Image level matching. BibRef 9200

Coombs, D.[David], Horswill, I.D.[Ian D.], and vonKaenel, P.[Peter],
Disparity Filtering: Proximity Detection and Segmentation,
SPIE(1825), Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, Boston, November 1992. BibRef 9211

Audette, M., Cohen, P., Weng, J.,
Shading-Based Two-View Matching,
IJCAI91(1286-1291). BibRef 9100

McCann, D.R., Barr, M.,
Matching SAR Imagery with Terrain Feature Models,
ICPR86(1232-1235). BibRef 8600

Overman, K.C., Ghazizadeh, F., Mix, D.F.,
Scene Matching by Defocused Images,
ICPR84(960-962). BibRef 8400

Glazer, F.[Frank], (DEC), Reynolds, G.[George], and Anandan, P.,
Scene Matching by Hierarchical Correlation,
CVPR83(432-441). BibRef 8300
And: DARPA83(233-242). (UMass) Matching at different levels of the pyramid - use the lower level match to guide the higher level matches plus/minus 1 is the limit for the lower levels. BibRef

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Template Matching Techniques .


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