12.1.2 Template Matching Techniques

Akra, M., Bazzi, L., Mitter, S.,
Sampling of Images for Efficient Model-Based Vision,
PAMI(21), No. 1, January 1999, pp. 4-11.
IEEE DOI In template matching of sets of points, sample the image to reduce the number of points then do the matching. Degrades results very little. BibRef 9901

Geiger, D.[Davi], Liu, T.L.[Tyng-Luh], Donahue, M.J.[Michael J.],
Sparse Representations for Image Decompositions,
IJCV(33), No. 2, September 1999, pp. 139-156.
DOI Link BibRef 9909

Donahue, M.J.[Michael J.], Liu, T.L.[Tyng-Luh], Geiger, D.[Davi], Hummel, R.A.[Robert A.],
Sparse Representations for Image Decomposition with Occlusions,
CVPR96(7-12).
IEEE DOI BibRef 9600
And: A2, A1, A3, A4:
Image Recognition with Occlusions,
ECCV96(I:556-565).
Springer DOI Match image templates. BibRef

Sanei, S., Sanaei, P., Zahabsaniei, M.,
Cephalogram analysis applying template matching and fuzzy logic,
IVC(18), No. 1, December 1999, pp. 39-48.
Elsevier DOI 0001
BibRef

Johnson, S.,
The Relationship Between the Matched-Filter Operator and the Target Signature Space-Orthogonal Projection Classifier,
GeoRS(38), No. 1, January 2000, pp. 283-286.
IEEE Top Reference. 0002
BibRef

Schonfeld, D.,
On the Relation of Order-Statistics Filters and Template Matching: Optimal Morphological Pattern Recognition,
IP(9), No. 5, May 2000, pp. 945-949.
IEEE DOI 0005
BibRef

Laha, A.[Arijit], Pal, N.R.[Nikhil R.],
Dynamic generation of prototypes with self-organizing feature maps for classifier design,
PR(34), No. 2, February 2001, pp. 315-321.
Elsevier DOI 0011
BibRef

Gharavi-Alkhansari, M.,
A fast globally optimal algorithm for template matching using low-resolution pruning,
IP(10), No. 4, April 2001, pp. 526-533.
IEEE DOI 0104
BibRef

Peurach, T.M.[Thomas M.], Whalen, P.[Peggy], Haanpaa, D.[Douglas], Whalen, M.[Mike], Jacobus, C.J.[Charles J.],
Pose determination and tracking by matching 3D objects to a 2D sensor,
US_Patent6,173,066, Jan 9, 2001
WWW Link. BibRef 0101

Ikeda, M.[Mitsuji], Yoshida, S.[Syoji], Nakashima, K.[Keisuke], Katsura, K.[Koyo], Shibukawa, S.[Shigeru], Yoda, H.[Haruo], Hotta, T.[Takashi],
Template matching image processor utilizing sub image pixel sums and sum of squares thresholding,
US_Patent6,249,608, Jun 19, 2001
WWW Link. BibRef 0106

Choi, M.S.[Min-Seok], Kim, W.Y.[Whoi-Yul],
A novel two stage template matching method for rotation and illumination invariance,
PR(35), No. 1, January 2002, pp. 119-129.
Elsevier DOI 0111
BibRef

Page, V.[Vincent], Garca, J.[Javier], Refregier, P.[Philippe],
Detection of objects composed of several regions by a region-configuration-estimation method,
JOSA-A(19), No. 2, February 2002, pp. 306-314.
WWW Link. 0202
Matched filters for target recognition. BibRef

Dufour, R.M., Miller, E.L., Galatsanos, N.P.,
Template matching based object recognition with unknown geometric parameters,
IP(11), No. 12, December 2002, pp. 1385-1396.
IEEE DOI 0301
BibRef

Dufour, R.M., Miller, E.L.,
Impulse Restoration Template Matching Under Geometric Uncertainties,
ICIP00(Vol II: 950-953).
IEEE DOI 0008
BibRef

di Stefano, L.[Luigi], Mattoccia, S.[Stefano],
Fast template matching using bounded partial correlation,
MVA(13), No. 4, 2003, pp. 213-221.
WWW Link. 0304
BibRef

di Stefano, L.[Luigi], Mattoccia, S.[Stefano], Tombari, F.[Federico],
ZNCC-based template matching using bounded partial correlation,
PRL(26), No. 14, 15 October 2005, pp. 2129-2134.
Elsevier DOI 0510
BibRef

Mattoccia, S.[Stefano], Tombari, F.[Federico], di Stefano, L.[Luigi],
Fast Full-Search Equivalent Template Matching by Enhanced Bounded Correlation,
IP(17), No. 4, April 2008, pp. 528-538.
IEEE DOI 0803
BibRef

Tombari, F.[Federico], Mattoccia, S.[Stefano], di Stefano, L.[Luigi], Regoli, F.[Fabio], Viti, R.[Riccardo],
A Template Analysis Methodology to Improve the Efficiency of Fast Matching Algorithms,
ACIVS09(100-108).
Springer DOI 0909
BibRef

Mattoccia, S.[Stefano], Tombari, F.[Federico], di Stefano, L.[Luigi],
Efficient template matching for multi-channel images,
PRL(32), No. 5, 1 April 2011, pp. 694-700.
Elsevier DOI 1103
BibRef
Earlier:
Enhanced Low-Resolution Pruning for Fast Full-Search Template Matching,
ACIVS09(109-120).
Springer DOI 0909
BibRef
And:
Reliable rejection of mismatching candidates for efficient ZNCC template matching,
ICIP08(849-852).
IEEE DOI 0810
BibRef
And:
Stereo Vision Enabling Precise Border Localization Within a Scanline Optimization Framework,
ACCV07(II: 517-527).
Springer DOI 0711
Template matching; Multi-channel images; ZNCC BibRef

Tombari, F.[Federico], Mattoccia, S.[Stefano], di Stefano, L.[Luigi],
Full-Search-Equivalent Pattern Matching with Incremental Dissimilarity Approximations,
PAMI(31), No. 1, January 2009, pp. 129-141.
IEEE DOI 0812
BibRef
Earlier: A1, A3, A2:
A robust measure for visual correspondence,
CIAP07(376-381).
IEEE DOI 0709
BibRef
Earlier: A1, A2, A3:
Template Matching Based on the L_p Norm Using Sufficient Conditions with Incremental Approximations,
AVSBS06(20-20).
IEEE DOI 0611

See also Performance Evaluation of Full Search Equivalent Pattern Matching Algorithms. BibRef
And: A3, A2, A1:
An Algorithm for Efficient and Exhaustive Template Matching,
ICIAR04(I: 408-415).
Springer DOI 0409
BibRef

di Stefano, L., Mattoccia, S.,
A sufficient condition based on the Cauchy-Schwarz inequality for efficient template matching,
ICIP03(I: 269-272).
IEEE DOI 0312
BibRef

di Stefano, L.[Luigi], Mattoccia, S.[Stefano], Mola, M.[Martino],
A Change-Detection Algorithm Enabling Intelligent Background Maintenance,
ICIAR04(II: 437-445).
Springer DOI 0409
BibRef
Earlier:
A change-detection algorithm based on structure and colour,
AVSBS03(252-259).
IEEE DOI 0310
BibRef
And:
An efficient algorithm for exhaustive template matching based on normalized cross correlation,
CIAP03(322-327).
IEEE DOI 0310
BibRef

Ouyang, W.L.[Wan-Li], Zhang, R.Q.[Ren-Qi], Cham, W.K.[Wai-Kuen],
Segmented Gray-Code Kernels for Fast Pattern Matching,
IP(22), No. 4, April 2013, pp. 1512-1525.
IEEE DOI 1303
BibRef
And:
Fast pattern matching using orthogonal Haar transform,
CVPR10(3050-3057).
IEEE DOI 1006
BibRef

Ouyang, W.L.[Wan-Li], Zhao, T., Cham, W.K.[Wai-Kuen], Wei, L.,
Fast Full-Search-Equivalent Pattern Matching Using Asymmetric Haar Wavelet Packets,
CirSysVideo(28), No. 4, April 2018, pp. 819-833.
IEEE DOI 1804
Pattern matching, Proposals, Signal processing algorithms, Strips, Wavelet packets, Fast algorithm, Haar wavelet, pattern matching, wavelet packets BibRef

Ouyang, W.L.[Wan-Li], Tombari, F.[Federico], Mattoccia, S.[Stefano], di Stefano, L.[Luigi], Cham, W.K.[Wai-Kuen],
Performance Evaluation of Full Search Equivalent Pattern Matching Algorithms,
PAMI(34), No. 1, January 2012, pp. 127-143.
IEEE DOI 1112
Evaluation, Matching. BibRef

Russin, R.M.[Robert Michael],
System and method for image detection and qualification,
US_Patent6,591,010, Jul 8, 2003
WWW Link. Match with stored image. BibRef 0307

Ullah, F.[Farhan], Kaneko, S.[Shun'ichi],
Using orientation codes for rotation-invariant template matching,
PR(37), No. 2, February 2004, pp. 201-209.
Elsevier DOI 0311
BibRef

Cha, S.H.[Sung-Hyuk],
Efficient Algorithms for Image Template and Dictionary Matching,
JMIV(12), No. 1, January 2000, pp. 81-90.
DOI Link 0505
Find every location in the text that corresponds to the input pattern. BibRef

Rajagopal, R.[Ram], Wenzel, L.[Lothar], Nair, D.[Dinesh], Schmidt, D.R.[Darren R.],
System and method for image pattern matching using a unified signal transform,
US_Patent6,807,305, Oct 19, 2004
WWW Link. BibRef 0410

Schmidt, D.R.[Darren R.], Schultz, K.L.[Kevin L.], Lin, S.M.[Si-Ming], Nair, D.[Dinesh],
Locating regions in a target image using color matching, luminance pattern matching and hue plane pattern matching,
US_Patent6,944,331, Sep 13, 2005
WWW Link. BibRef 0509

Wenzel, L.[Lothar], Rajagopal, R.[Ram], Nair, D.[Dinesh],
Matching of discrete curves under affine transforms,
US_Patent7,158,677, Jan 2, 2007
WWW Link. BibRef 0701

Hel-Or, Y.[Yacov], Hel-Or, H.[Hagit],
Real-Time Pattern Matching Using Projection Kernels,
PAMI(27), No. 9, September 2005, pp. 1430-1445.
IEEE DOI 0508
BibRef
Earlier: ICCV03(1486-1493).
IEEE DOI 0311
BibRef
And:
Generalized pattern matching using orbit decomposition,
ICIP03(III: 69-72).
IEEE DOI 0312
Projection framework. To find given patterns. BibRef

Sun, S.J.[Shi-Jun], Park, H.W.[Hyun-Wook], Haynor, D.R.[David R.], Kim, Y.M.[Yong-Min],
Fast template matching using correlation-based adaptive predictive search,
IJIST(13), No. 3, 2003, pp. 169-178.
DOI Link 0309
BibRef

Nomura, T., Javidi, B.,
Object recognition by use of polarimetric phase-shifting digital holography,
OptLett(32), No. 15, 2007, pp. 2146-2148.
DOI Link 1009
BibRef

Javidi, B.[Bahram], Tajahuerce, E.[Enrique],
Three-dimensional object recognition by use of digital holography,
OptLett(25), No. 9, 2000, pp. 610-612.
DOI Link 1009
BibRef

Javidi, B.[Bahram], Tajahuerce, E.[Enrique],
Multi-dimensional pattern recognition by use of digital holography,
US_Patent7,050,635, May 23, 2006
WWW Link. BibRef 0605

Clark, W.D.[Walter D.], Ramroth, R.R.[Richard R.],
System and method for template matching of candidates within a two-dimensional image,
US_Patent7,149,356, Dec 12, 2006
WWW Link. BibRef 0612

Kaneko, T.[Toshimitsu], Hori, O.[Osamu],
Template matching method and image processing device,
US_Patent7,085,418, Aug 1, 2006
WWW Link. BibRef 0608

Hajdu, A., Pitas, I.,
Optimal Approach for Fast Object-Template Matching,
IP(16), No. 8, August 2007, pp. 2048-2057.
IEEE DOI 0709
BibRef

Omachi, S., Omachi, M.,
Fast Template Matching With Polynomials,
IP(16), No. 8, August 2007, pp. 2139-2149.
IEEE DOI 0709
BibRef

Dowson, N.D.H.[Nicholas D.H.], Bowden, R.[Richard],
Mutual Information for Lucas-Kanade Tracking (MILK): An Inverse Compositional Formulation,
PAMI(30), No. 1, January 2008, pp. 180-185.
IEEE DOI 0711
BibRef
Earlier:
A Unifying Framework for Mutual Information Methods for Use in Non-linear Optimisation,
ECCV06(I: 365-378).
Springer DOI 0608
Standard sampling, Partial Volume Estimation (PVE), In-Parzen Windowing and Post-Parzen Windowing into a single mathematical framework. PVE generally better, but SSD as good as Mutual Information methods.
See also Iterative Image Registration Technique with an Application to Stereo Vision, An. BibRef

Dowson, N.D.H.[Nicholas D.H.], Kadir, T.[Timor], Bowden, R.[Richard],
Estimating the Joint Statistics of Images Using Nonparametric Windows with Application to Registration Using Mutual Information,
PAMI(30), No. 10, October 2008, pp. 1841-1857.
IEEE DOI 0810
BibRef
Earlier: A1, A3, A2:
Image template matching using Mutual Information and NP-Windows,
ICPR06(II: 1186-1191).
IEEE DOI 0609
BibRef

Lin, Y.H.[Yi-Hsien], Chen, C.H.[Chin-Hsing],
Template matching using the parametric template vector with translation, rotation and scale invariance,
PR(41), No. 7, July 2008, pp. 2413-2421.
Elsevier DOI 0804
Template matching; Rotation and scale invariance; Normalized correlation; Ring-projection transformation; Parametric template vector BibRef

Suzuki, Y.[Yoshinori], Boon, C.S.[Choong Seng], Tan, T.K.[Thiow Keng],
Video Encoding Scheme Employing Intra and Inter Prediction Based on Averaged Template Matching Predictors,
IEICE(E91-D), No. 4, April 2008, pp. 1127-1134.
DOI Link 0804
BibRef
Earlier: A3, A2, A1:
Intra Prediction by Template Matching,
ICIP06(1693-1696).
IEEE DOI 0610
BibRef

Nair, D.[Dinesh], Fisher, M.S.[Matthew S.], Kumar, S.V.[Satish V.], Smyth, B.[Bruce], Ramamoorthy, S.[Subramanian],
Geometric pattern matching using dynamic feature combinations,
US_Patent7,340,089, Mar 4, 2008
WWW Link. BibRef 0803

Hasegawa, Y.[Yuji],
Target recognizing device and target recognizing method,
US_Patent7,298,907, Nov 20, 2007
WWW Link. BibRef 0711

Perret, B., Lefevre, S., Collet, C.,
A robust hit-or-miss transform for template matching applied to very noisy astronomical images,
PR(42), No. 11, November 2009, pp. 2470-2480.
Elsevier DOI 0907
Hit-or-miss transform; Template matching; Mathematical morphology; Noisy environment; Astronomy; Low surface brightness galaxies BibRef

Chateau, T.[Thierry], Lapreste, J.T.,
Realtime Kernel based Machine Learning Template Matching (KMLT),
ELCVIA(8), No. 1, July 2009, pp. xx-yy.
DOI Link 0909
For planar template matching. Extend template match learning of Cootes and Jurie/Dhome (
See also Hyperplane Approximation for Template Matching. ) BibRef

Jung, J.H., Lee, H.S., Lee, J.H., Park, D.J.,
A Novel Template Matching Scheme for Fast Full-Search Boosted by an Integral Image,
SPLetters(17), No. 1, January 2010, pp. 83-86.
IEEE DOI 0911
BibRef

Kim, H.Y.[Hae Yong],
Rotation-discriminating template matching based on Fourier coefficients of radial projections with robustness to scaling and partial occlusion,
PR(43), No. 3, March 2010, pp. 859-872.
Elsevier DOI 1001
Template-matching; Radial projection; Rotation-invariant feature; Brightness/contrast-invariance; Scale invariance; Partial occlusion BibRef

Kim, H.Y.[Hae Yong], de Araújo, S.A.[Sidnei Alves],
Grayscale Template-Matching Invariant to Rotation, Scale, Translation, Brightness and Contrast,
PSIVT07(100-113).
Springer DOI 0712
BibRef

Vidal, C.[Camille], Jedynak, B.[Bruno],
Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models,
IJCV(88), No. 2, June 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Amiri, M., Rabiee, H.R.,
A novel rotation/scale invariant template matching algorithm using weighted adaptive lifting scheme transform,
PR(43), No. 7, July 2010, pp. 2485-2496.
Elsevier DOI 1003
Adaptive lifting scheme; Object detection; Rotation/scale invariant template matching BibRef

Amiri, M., Rabiee, H.R.,
RASIM: A Novel Rotation and Scale Invariant Matching of Local Image Interest Points,
IP(20), No. 12, December 2011, pp. 3580-3591.
IEEE DOI 1112
BibRef

Mahmood, A.[Arif], Khan, S.[Sohaib],
Exploiting Transitivity of Correlation for Fast Template Matching,
IP(19), No. 8, August 2010, pp. 2190-2200.
IEEE DOI 1008
BibRef
Earlier:
Exploiting local auto-correlation function for fast video to reference image alignment,
ICIP08(2412-2415).
IEEE DOI 0810
BibRef
Earlier:
Exploiting Inter-frame Correlation for Fast Video to Reference Image Alignment,
ACCV07(I: 647-656).
Springer DOI 0711
BibRef

Mahmood, A.[Arif], Khan, S.[Sohaib],
Correlation-Coefficient-Based Fast Template Matching Through Partial Elimination,
IP(21), No. 4, April 2012, pp. 2099-2108.
IEEE DOI 1204
BibRef

James, A.P.[Alex Pappachen], Dimitrijev, S.[Sima],
Inter-image outliers and their application to image classification,
PR(43), No. 12, December 2010, pp. 4101-4112.
Elsevier DOI 1003
Outliers; Image recognition; Template matching Application:
See also Face Recognition Using Local Binary Decisions. BibRef

Li, H.[Hao], Duan, H.B.[Hai-Bin], Zhang, X.Y.[Xiang-Yin],
A novel image template matching based on particle filtering optimization,
PRL(31), No. 13, 1 October 2010, pp. 1825-1832.
Elsevier DOI 1003
Image processing; Template matching; Chaos; Particle filter; Normalized cross correlation (NCC) BibRef

Duan, H.B.[Hai-Bin], Xu, C.F.[Chun-Fang], Liu, S.Q.[Sen-Qi], Shao, S.[Shan],
Template matching using chaotic imperialist competitive algorithm,
PRL(31), No. 13, 1 October 2010, pp. 1868-1875.
Elsevier DOI 1003
Image matching; Imperialist competitive algorithm (ICA); Chaotic; Normalized cross-correlation (NCC) BibRef

Zhao, X.Y.[Xin-Yue], Satoh, Y.[Yutaka], Takauji, H.[Hidenori], Kaneko, S.[Shun'ichi], Iwata, K.[Kenji], Ozaki, R.[Ryushi],
Object detection based on a robust and accurate statistical multi-point-pair model,
PR(44), No. 6, June 2011, pp. 1296-1311.
Elsevier DOI 1102
Background subtraction; Object detection; Statistical reach feature (SRF); Grayscale arranging pairs (GAP) BibRef

Ozaki, R.[Ryushi], Satoh, Y.[Yutaka], Iwata, K.[Kenji], Sakaue, K.[Katsuhiko],
Statistical Reach Feature Method and Its Application to Template Matching,
MVA09(174-).
PDF File. 0905
BibRef

Marszalek, M.[Marcin], Schmid, C.[Cordelia],
Accurate Object Recognition with Shape Masks,
IJCV(97), No. 2, April 2012, pp. 191-209.
WWW Link. 1203
BibRef
Earlier:
Accurate Object Localization with Shape Masks,
CVPR07(1-8).
IEEE DOI 0706
Dataset, People.
WWW Link. The dataset includes annotations. Derived from Graz dataset.
WWW Link. BibRef

Bilal, M., Masud, S.,
Efficient computation of correlation coefficient using negative reference in template matching applications,
IET-IPR(6), No. 2, 2012, pp. 197-204.
DOI Link 1204
BibRef

Li, Z.[Zhu], Tomotsune, K.[Kojiro], Tomioka, Y.[Yoichi], Kitazawa, H.[Hitoshi],
Template Matching Method Based on Visual Feature Constraint and Structure Constraint,
IEICE(E95-D), No. 8, August 2012, pp. 2105-2115.
WWW Link. 1208
BibRef

Lee, W.C.[Wen-Chia], Chen, C.H.[Chin-Hsing],
A Fast Template Matching Method With Rotation Invariance by Combining the Circular Projection Transform Process and Bounded Partial Correlation,
SPLetters(19), No. 11, November 2012, pp. 737-740.
IEEE DOI 1210
BibRef

Weber, J.[Jonathan], Lefèvre, S.[Sébastien],
Spatial and spectral morphological template matching,
IVC(30), No. 12, December 2012, pp. 934-945.
Elsevier DOI 1212
BibRef
Earlier:
A Multivariate Hit-or-Miss Transform for Conjoint Spatial and Spectral Template Matching,
ICISP08(226-235).
Springer DOI 0807
Hit-or-miss transform; Remote sensing; Multivariate morphology; Template matching BibRef

Nakhmani, A.[Arie], Tannenbaum, A.[Allen],
A new distance measure based on generalized Image Normalized Cross-Correlation for robust video tracking and image recognition,
PRL(34), No. 3, 1 February 2013, pp. 315-321.
Elsevier DOI 1301
Correlation; NCC; Image distance; Template matching BibRef

Elboher, E., Werman, M.,
Asymmetric Correlation: A Noise Robust Similarity Measure for Template Matching,
IP(22), No. 8, 2013, pp. 3062-3073.
IEEE DOI 1307
discrete Fourier transforms; template matching BibRef

Yousef, M.[Mohamed], Hussain, K.F.[Khaled F.],
Fast exhaustive-search equivalent pattern matching through norm ordering,
JVCIR(24), No. 5, July 2013, pp. 592-601.
Elsevier DOI 1306
BibRef
And:
Fast Exhaustive-Search equivalent pattern matching through hierarchical partitioning,
ICIP13(4407-4411)
IEEE DOI 1402
Pattern matching; Template matching; Fast algorithms; Full search equivalent algorithm; NOM; Evaluation order; Nearest Neighbor; Image processing BibRef

Hel-Or, Y.[Yacov], Hel-Or, H.[Hagit], David, E.[Eyal],
Matching by Tone Mapping: Photometric Invariant Template Matching,
PAMI(36), No. 2, February 2014, pp. 317-330.
IEEE DOI 1402
BibRef
Earlier:
Fast template matching in non-linear tone-mapped images,
ICCV11(1355-1362).
IEEE DOI 1201
approximation theory. Matching by tone mapping. Approximate as piecewise constant function for matching. BibRef

Wang, C.[Chen], Ma, K.K.[Kai-Kuang],
Common Visual Pattern Discovery via Directed Graph,
IP(23), No. 3, March 2014, pp. 1408-1418.
IEEE DOI 1403
BibRef
Earlier:
Common visual pattern discovery via directed graph model,
ICIP11(2957-2960).
IEEE DOI 1201
Gaussian processes BibRef

Rios-Cabrera, R.[Reyes], Tuytelaars, T.[Tinne],
Boosting masked dominant orientation templates for efficient object detection,
CVIU(120), No. 1, 2014, pp. 103-116.
Elsevier DOI 1403
Binary templates BibRef

Yoo, J.[Jisung], Hwang, S.S.[Sung Soo], Kim, S.D.[Seong Dae], Ki, M.S.[Myung Seok], Cha, J.[Jihun],
Scale-invariant template matching using histogram of dominant gradients,
PR(47), No. 9, 2014, pp. 3006-3018.
Elsevier DOI 1406
BibRef
Earlier: Corrigendum: PR(47), No. 12, 2014, pp. 3980-.
Elsevier DOI 1410
Template matching BibRef

Jung, H.G.,
Internal-to-internal transition method for consecutive hierarchical template matching,
IET-CV(8), No. 3, June 2014, pp. 216-223.
DOI Link 1407
BibRef

Shih, H.C.[Huang-Chia], Yu, K.C.[Kuan-Chun],
SPiraL Aggregation Map (SPLAM): A new descriptor for robust template matching with fast algorithm,
PR(48), No. 5, 2015, pp. 1707-1723.
Elsevier DOI 1502
Template matching BibRef

Tambouratzis, G.[George],
Conditional random fields versus template-matching in MT phrasing tasks involving sparse training data,
PRL(53), No. 1, 2015, pp. 44-52.
Elsevier DOI 1502
Parsing of natural language BibRef

Jiang, H.[Hao], Tian, T.P.[Tai-Peng], Sclaroff, S.[Stan],
Scale and Rotation Invariant Matching Using Linearly Augmented Trees,
PAMI(37), No. 12, December 2015, pp. 2558-2572.
IEEE DOI 1512
BibRef
Earlier: CVPR11(2473-2480).
IEEE DOI 1106
dynamic programming. Pairwise constraints and high-order constraints. Decompose into series of tree matches.
See also Finding People Using Scale, Rotation and Articulation Invariant Matching. BibRef

Wang, L.[Linbo], Tang, D.[Dong], Guo, Y.[Yanwen], Do, M.N.,
Common Visual Pattern Discovery via Nonlinear Mean Shift Clustering,
IP(24), No. 12, December 2015, pp. 5442-5454.
IEEE DOI 1512
common patterns in 2 images. Lie algebras BibRef

Moranduzzo, T., Melgani, F., Mekhalfi, M.L., Bazi, Y., Alajlan, N.,
Multiclass Coarse Analysis for UAV Imagery,
GeoRS(53), No. 12, December 2015, pp. 6394-6406.
IEEE DOI 1512
feature extraction. Grid of tiles, compare tiles ot training tiles, label. BibRef

Balzi, A.[Alessandro], Yger, F.[Florian], Sugiyama, M.[Masashi],
Importance-weighted covariance estimation for robust common spatial pattern,
PRL(68, Part 1), No. 1, 2015, pp. 139-145.
Elsevier DOI 1512
BibRef

Zhao, J.[Ji], Meng, D.Y.[De-Yu], Ma, J.Y.[Jia-Yi],
Density-based region search with arbitrary shape for object localisation,
IET-CV(9), No. 6, 2015, pp. 943-949.
DOI Link 1512
computer vision BibRef

Correa-Tome, F.E.[Fernando E.], Sanchez-Yanez, R.E.[Raul E.],
Fast similarity metric for real-time template-matching applications,
RealTimeIP(12), No. 1, June 2016, pp. 145-153.
WWW Link. 1606
BibRef

Camassa, R.[Roberto], Kuang, D.Y.[Dong-Yang], Lee, L.[Long],
A Geodesic Landmark Shooting Algorithm for Template Matching and Its Applications,
SIIMS(10), No. 1, 2017, pp. 303-334.
DOI Link 1704
BibRef

Zhang, B.C.[Bao-Chang], Luan, S.Z.[Shang-Zhen], Chen, C.[Chen], Han, J.G.[Jun-Gong], Wang, W.[Wei], Perina, A.[Alessandro], Shao, L.[Ling],
Latent Constrained Correlation Filter,
IP(27), No. 3, March 2018, pp. 1038-1048.
IEEE DOI 1801
classifiers designed for shift-invariant object recognition. correlation methods, estimation theory, feature extraction, filtering theory, image classification, image filtering, tracking BibRef

Zou, Z.X.[Zheng-Xia], Shi, Z.W.[Zhen-Wei],
Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images,
IP(27), No. 3, March 2018, pp. 1100-1111.
IEEE DOI 1801
Memories can be interpreted as any model distribution learned from training data and random access means accessing memories and randomly adjusting the model at detection phase to obtain better adaptivity to any unseen distribution of test data. BibRef

Li, Z.[Zheng], Liu, Y.G.[Yi-Guang], Li, J.P.[Ji-Peng], Xu, W.Z.[Wen-Zheng],
The Mapping-Adaptive Convolution: A Fundamental Theory for Homography or Perspective Invariant Matching Methods,
SIIMS(10), No. 4, 2017, pp. 1767-1803.
DOI Link 1801
BibRef

Marvaniya, S.[Smit], Gupta, R.[Raj], Mittal, A.[Anurag],
Adaptive locally affine-invariant shape matching,
MVA(29), No. 4, May 2018, pp. 553-572.
WWW Link. 1805
BibRef
Earlier: A2, A3, Only:
Illumination and Affine-Invariant Point Matching using an Ordinal Approach,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Mittal, A.[Anurag], Ramesh, V.[Visvanathan],
An Intensity-augmented Ordinal Measure for Visual Correspondence,
CVPR06(I: 849-856).
IEEE DOI 0606
BibRef

Ji, S.P.[Shun-Ping], Yu, D.[Dawen], Hong, Y.[Yong], Lu, M.[Meng],
Template Matching for Wide-Baseline Panoramic Images from a Vehicle-Borne Multi-Camera Rig,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Nguyen, D.T., Vu, N., Do, T., Nguyen, T., Yearwood, J.,
Improving Chamfer Template Matching Using Image Segmentation,
SPLetters(25), No. 11, November 2018, pp. 1635-1639.
IEEE DOI 1811
image matching, image segmentation, iterative methods, object detection, probability, image segmentation, object location, object detection BibRef

Routh, D.[Devin], Seegmiller, L.[Lindsi], Bettigole, C.[Charlie], Kuhn, C.[Catherine], Oliver, C.D.[Chadwick D.], Glick, H.B.[Henry B.],
Improving the Reliability of Mixture Tuned Matched Filtering Remote Sensing Classification Results Using Supervised Learning Algorithms and Cross-Validation,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Yang, H.[Hua], Huang, C.H.[Cheng-Hui], Wang, F.Y.[Fei-Yue], Song, K.Y.[Kai-You], Zheng, S.J.[Shi-Jiao], Yin, Z.P.[Zhou-Ping],
Large-scale and rotation-invariant template matching using adaptive radial ring code histograms,
PR(91), 2019, pp. 345-356.
Elsevier DOI 1904
Template matching, Adaptive radial ring code histograms, Large-scale and rotation-invariant features BibRef

Yang, H.[Hua], Huang, C.H.[Cheng-Hui], Wang, F.Y.[Fei-Yue], Song, K.Y.[Kai-You], Yin, Z.P.[Zhou-Ping],
Robust Semantic Template Matching Using a Superpixel Region Binary Descriptor,
IP(28), No. 6, June 2019, pp. 3061-3074.
IEEE DOI 1905
feature extraction, gradient methods, image classification, image colour analysis, image matching, superpixels descriptor BibRef

Dou, Y.M.[Yu-Min], Xu, P.[Pei], Ye, M.[Mao], Li, X.[Xue], Pei, L.S.[Li-Shen], Li, X.D.[Xu-Dong],
Real-time multi-class object detection using two-dimensional index,
RealTimeIP(16), No. 2, April 2019, pp. 243-253.
Springer DOI 1904
One sample for each category. BibRef

Jung, H.G.[Ho Gi],
K-center algorithm for hierarchical binary template matching,
PRL(125), 2019, pp. 584-590.
Elsevier DOI 1909
Hierarchical binary template matching, K-medoids algorithm, Cluster center estimation, Weighted bidirectional distance, Genetic algorithm BibRef

Lai, J.X.[Jin-Xiang], Lei, L.[Liang], Deng, K.Y.[Kai-Yuan], Yan, R.M.[Run-Ming], Ruan, Y.[Yang], Jinyun, Z.[Zhou],
Fast and robust template matching with majority neighbour similarity and annulus projection transformation,
PR(98), 2020, pp. 107029.
Elsevier DOI 1911
Template matching, MNS, APT BibRef

Spratling, M.W.,
Explaining away results in accurate and tolerant template matching,
PR(104), 2020, pp. 107337.
Elsevier DOI 2005
Template matching, Feature detection, Image matching, Image registration, Correspondence problem, Multi-view vision BibRef

Dong, J.[Jing], Hu, M.[Maoqing], Lu, J.Z.[Jia-Zhen], Han, S.[Songlai],
Affine Template Matching Based on Multi-Scale Dense Structure Principal Direction,
CirSysVideo(31), No. 6, June 2021, pp. 2125-2132.
IEEE DOI 2106
Image matching, Nonlinear distortion, Distortion measurement, Gray-scale, Robustness, Feature extraction, dissimilarity measure BibRef

Lébl, M.[Matej], Šroubek, F.[Filip], Flusser, J.[Jan],
Blur-Invariant Similarity Measurement of Images,
PAMI(43), No. 8, August 2021, pp. 2882-2884.
IEEE DOI 2107
Convolution, Image recognition, Face recognition, Kernel, Measurement, Minimization, Manifolds, Blurred image classification, constrained minimization BibRef