*Tversky, A.*,

**Features of Similarity**,

*PsychR(84)*, No. 4, July 1977, pp. 327-352.
Feature Contrast model.
Relevant to database queries.
BibRef
**7707**

*Price, K.E.*, and
*Reddy, R.*,

**Matching Segments of Images**,

*PAMI(1)*, No. 1, January 1979, pp. 110-116.
BibRef
**7901**

Earlier:

**Symbolic Image Registration and Change Detection**,

*DARPA77*(28-31).
*Matching, Regions*.
*Change Detection*.
The original matching paper of this sequence. Image to image matching.
Using graph descriptions where nodes have descriptions (size, location, color,
shape, texture, etc.) and links to other nodes using relations
(above, below, adjacent, inside, etc.)
BibRef

*Price, K.E.[Keith E.]*,
*Reddy, R.*,

**Change Detection and Analysis in Multi-Spectral Images**,

*IJCAI77*(619-625).
BibRef
**7700**

Earlier: A1 Only:
*CMU-CS-TR*December 1976.
BibRef
*Ph.D.*Thesis, CS.
*Change Detection*. Change detection, at the symbolic level applied to aerial images,
color ground level images, and SAR.
BibRef

*Nevatia, R.*, and
*Price, K.E.*,

**Locating Structures in Aerial Images**,

*PAMI(4)*, No. 5, September 1982, pp. 476-484.
BibRef
**8209**
*USC Computer Vision*
BibRef

Earlier:
*ICPR78*(686-690).
*Matching, Lines*. The matching procedure assumes that regions are extracted and property
values such as size, average intensity, position, and shape parameters
are computed. Additionally, relations between regions such as
relative position, adjacency, closeness, etc. are computed. This
description is given in the form of a semantic network where regions
are nodes and relations are the links. These systems find the
matching regions one at a time (without backtracking), with the order
either determined by the user or by sorting on some feature
(e.g. largest first). Features and relations are given three
different weights (strong, average and weak) that determines their
contribution to the match rating function.
BibRef

*Rosenfeld, A.*,

**Distances Between Fuzzy Sets**,

*PRL(3)*, 1985, pp. 229-233.
*Fuzzy Sets*.
BibRef
**8500**

*Chaudhuri, B.B.*,
*Rosenfeld, A.*,

**On a Metric Distance Between Fuzzy-Sets**,

*PRL(17)*, No. 11, September 16 1996, pp. 1157-1160.
**9611**

BibRef

*Sanfeliu, A.*,

**Syntactic and Structural Methods in Document Image Analysis**,

*SDIA92*(xx-yy).
**0905**

BibRef

Earlier:

**Structural Similarity Measures for Classifying 2D and 3D
Partially Hidden, Occluded and Deformed Objects**,

*ICPR86*(1294-1296).
See also TC2: Structural and Syntactic Pattern-Recognition: Aims, Scope, History and Activities.
BibRef

*Feustel, C.D.*,
*Shapiro, L.G.*,

**The Nearest Neighbor Problem in an Abstract Metric Space**,

*PRL(1)*, No. 2, 1982, 125-128.
BibRef
**8200**

*Shapiro, L.G.*, and
*Haralick, R.M.*,

**A Metric for Comparing Relational Descriptions**,

*PAMI(7)*, No. 1, January 1985, pp. 90-94.
*Distance Metric*. The paper discusses a technique for generating a metric which
compares two relational structures. Some background is given, but
it does not mention some that are in use in real programs.
Structural_Error = (Relations in Image A not in Image B) +
(Relations in Image B not in Image A).
BibRef
**8501**

*Shapiro, L.G.*,

**Relational Matching**,

*HPRIP-CV94*(475-496).
BibRef
**9400**

Earlier:
With:
*Haralick, R.M.*,
*AppOpt(26)*, No. 10, May 15, 1987, pp. 1845-1851.
*Survey, Matching*.
*Matching, Survey*. A survey (overview) of relational matching with only their references.
BibRef

*Shapiro, L.G.*, and
*Haralick, R.M.*,

**Organization of Relational Models for Scene Analysis**,

*PAMI(4)*, No. 6, November 1982, pp. 595-602.
An earlier 2-D version is under the 2-D analysis chapter. A large
data base can be organized by using a simple relational distance
metric, followed by either clustering by similar values of the
metric or a binary decision tree arrangement.
BibRef
**8211**

*Haralick, R.M.*,
*Camps, O.I.[Octavia I.]*,
*Shapiro, L.G.*, and

**A Probabilistic Matching Algorithm for Computer Vision**,

*AMAI(10)*, 1994, pp. 85-124.
BibRef
**9400**

*Shapiro, L.G.*, and
*Lu, H.*,

**Accumulator-Based Inexact Matching Using Relational Summaries**,

*MVA(3)*, No. 3, 1990, pp. 143-158.
BibRef
**9000**

*Shapiro, L.G.*,

**The Use of Numerical Relational Distance and Symbolic Differences
for Organizing Models and for Matching**,

*T3DMP86*(255-270).
BibRef
**8600**

Earlier:

**Using Symbolic Differences to Organize Relational Models**,

*CVPR83*9377-379).
BibRef

*Boninsegna, M.*,
*Rossi, M.*,

**Similarity Measures In Computer Vision**,

*PRL(15)*, No. 12, December 1994, pp. 1255-1260.
BibRef
**9412**

*Oflazer, K.*,

**Error Tolerant Retrieval of Trees**,

*PAMI(19)*, No. 12, December 1997, pp. 1376-1380.

IEEE DOI
**9712**

Actually matching of trees to find the closest one. Used in
machine translation, NL work.
BibRef

*Tanaka, E.*,
*Takemasa, K.*,
*Masuda, S.*,

**A Distance Measure for Molecular Structures and Its Computing Method**,

*PRL(19)*, No. 3-4, March 1998, pp. 373-381.
**9807**

BibRef

*Sim, D.G.[Dong-Gyu]*,
*Kwon, O.K.[Oh-Kyu]*,
*Park, R.H.[Rae-Hong]*,

**Object Matching Algorithms Using Robust Hausdorff Distance Measures**,

*IP(8)*, No. 3, March 1999, pp. 425-429.

IEEE DOI
BibRef
**9903**

Earlier: A2, A1, A3:

**New Hausdorff distances based on robust statistics for comparing images**,

*ICIP96*(III: 21-24).

IEEE DOI
**9610**

BibRef

*Kwon, O.K.[Oh-Kyu]*,
*Sim, D.G.[Dong-Gyu]*,
*Park, R.H.[Rae-Hong]*,

**Robust Hausdorff distance matching algorithms using pyramidal
structures**,

*PR(34)*, No. 10, October 2001, pp. 2005-2013.

Elsevier DOI
**0108**

BibRef

Earlier:

**Pyramidal Robust Hausdorff Distance for Object Matching**,

*ICIP99*(IV:88-92).

IEEE DOI
BibRef

*Kwon, O.K.[Oh-Kyu]*,
*Kim, D.S.[Dong-Soo]*,
*Suh, J.W.[Jung Wook]*,

**Accurate M-hausdorff distance similarity combining distance orientation
for matching multi-modal sensor images**,

*PRL(32)*, No. 7, 1 May 2011, pp. 903-909.

Elsevier DOI
**1101**

M-Hausdorff distance; Distance orientation map; Multi-modal image alignment
BibRef

*Foggia, P.*,
*Sansone, C.*,
*Tortorella, F.*,
*Vento, M.*,

**Definition and Validation of a Distance Measure Between Structural
Primitives**,

*PAA(2)*, No. 3, 1999, pp. 215-227.
BibRef
**9900**

*de Stefano, C.*,
*Foggia, P.*,
*Tortorella, F.*,
*Vento, M.*,

**A Distance Measure for Structural Descriptions Using Circular Arcs
as Primitives**,

*ICPR96*(II: 290-294).

IEEE DOI
**9608**

(Univ. di Napoli FedericoII, I)
BibRef

*Bunke, H.*,
*Jiang, X.*, and
*Kandel, A.*,

**On the Minimum Common Supergraph of Two Graphs**,

*Computing(65)*, No. 1, 2000, pp. 13-25.
BibRef
**0001**

*Bunke, H.*,
*Guidobaldi, C.*,
*Vento, M.*,

**Weighted minimum common supergraph for cluster representation**,

*ICIP03*(II: 25-28).

IEEE DOI
**0312**

BibRef

*Wang, J.T.L.[Jason T.L.]*,
*Zhang, K.Z.[Kai-Zhong]*,

**Finding Similar Consensus Between Trees:
An Algorithm and a Distance Hierarchy**,

*PR(34)*, No. 1, January 2001, pp. 127-137.

Elsevier DOI
**0010**

BibRef

*Wallis, W.D.*,
*Shoubridge, P.*,
*Kraetz, M.*,
*Ray, D.*,

**Graph distances using graph union**,

*PRL(22)*, No. 6-7, May 2001, pp. 701-704.

Elsevier DOI
**0105**

BibRef

*Miller, M.I.*,
*Younes, L.*,

**Group Actions, Homeomorphisms, and Matching: A General Framework**,

*IJCV(41)*, No. 1-2, January-February 2001, pp. 61-84.

DOI Link Metrics on images for matching.
**0105**

BibRef

*Jiang, X.Y.[Xiao-Yi]*,
*Münger, A.[Andreas]*,
*Bunke, H.[Horst]*,

**On Median Graphs: Properties, Algorithms, and Applications**,

*PAMI(23)*, No. 10, October 2001, pp. 1144-1151.

IEEE DOI
**0110**

Extend the concept of a median to graphs.
BibRef

*Le Saux, B.[Bertrand]*,
*Bunke, H.[Horst]*,

**Combining SVM and Graph Matching in a Bayesian Multiple Classifier
System for Image Content Recognition**,

*SSPR06*(696-704).

Springer DOI
**0608**

BibRef

*Huet, B.[Benoit]*,
*Hancock, E.R.[Edwin R.]*,

**Relational object recognition from large structural libraries**,

*PR(35)*, No. 9, September 2002, pp. 1895-1915.

Elsevier DOI
**0206**

BibRef

*Huet, B.*,
*Hancock, E.R.*,

**Sensitivity Analysis for Object Recognition from Large Structural
Libraries**,

*ICCV99*(1137-1143).

IEEE DOI
BibRef
**9900**

*Huet, B.[Benoit]*,
*Hancock, E.R.[Edwin R.]*,

**Fuzzy Relational Distance for Large-scale Object Recognition**,

*CVPR98*(138-143).

IEEE DOI
BibRef
**9800**

*Huet, B.[Benoit]*,
*Hancock, E.R.[Edwin R.]*,

**Line Pattern Retrieval Using Relational Histograms**,

*PAMI(21)*, No. 12, December 1999, pp. 1363-1370.

IEEE DOI
**0001**

BibRef

Earlier:

**Relational Histograms for Shape Indexing**,

*ICCV98*(563-569).

IEEE DOI Shape to retrieve line based patterns from a database.
BibRef

*Huet, B.[Benoit]*,
*Hancock, E.R.[Edwin R.]*,

**Shape recognition from large image libraries by inexact graph matching**,

*PRL(20)*, No. 11-13, November 1999, pp. 1259-1269.
**0001**

BibRef

Earlier:

**Inexact Graph Retrieval**,

*CBAIVL99*(xx-yy).
BibRef

*Huet, B.[Benoit]*,
*Hancock, E.R.[Edwin R.]*,

**Structurally Gated Pairwise Geometric Histograms for Shape Indexing**,

*BMVC97*(xx-yy).

HTML Version.
**0209**

BibRef

*Han, I.S.[In-Seo]*,
*Yun, I.D.[Il Dong]*,
*Lee, S.U.[Sang Uk]*,

**Modified Hausdorff distance for model-based 3-D object recognition from
a single view**,

*JVCIR(15)*, No. 1, March 2004, pp. 27-43.

Elsevier DOI
**0402**

BibRef

Earlier:

**Model-based object recognition Using the Hausdorff Distance with
Explicit Pairing**,

*ICIP99*(IV:83-87).

IEEE DOI
BibRef

*Guru, D.S.*,
*Kiranagi, B.B.[Bapu B.]*,
*Nagabhushan, P.*,

**Multivalued type proximity measure and concept of mutual similarity
value useful for clustering symbolic patterns**,

*PRL(25)*, No. 10, 16 July 2004, pp. 1203-1213.

Elsevier DOI
**0407**

BibRef

*Guru, D.S.*,
*Kiranagi, B.B.[Bapu B.]*,

**Multivalued type dissimilarity measure and concept of mutual
dissimilarity value for clustering symbolic patterns**,

*PR(38)*, No. 1, January 2005, pp. 151-156.

Elsevier DOI
**0410**

BibRef

*Wang, W.Q.[Wei-Qiong]*,
*Xin, X.L.[Xiao-Long]*,

**Distance measure between intuitionistic fuzzy sets**,

*PRL(26)*, No. 13, 1 October 2005, pp. 2063-2069.

Elsevier DOI
**0509**

BibRef

*Boran, F.E.[Fatih Emre]*,

**Erratum to Distance measure between intuitionistic fuzzy sets**,

*PRL(30)*, No. 4, 1 March 2009, pp. 468.

Elsevier DOI
**0903**

See also Distance measure between intuitionistic fuzzy sets.
BibRef

*Chávez, E.[Edgar]*,
*Navarro, G.[Gonzalo]*,
*Baeza-Yates, R.[Ricardo]*,
*Marroquín, J.L.[José Luis]*,

**Searching in metric spaces**,

*Surveys(33)*, No. 3, September 2001, pp. 273-321.

WWW Link.
**0805**

*Survey, Distance Measures*.
BibRef

*Bustos, B.[Benjamin]*,
*Navarro, G.[Gonzalo]*,
*Chávez, E.[Edgar]*,

**Pivot selection techniques for proximity searching in metric spaces**,

*PRL(24)*, No. 14, October 2003, pp. 2357-2366.

Elsevier DOI
**0307**

BibRef

*Chávez, E.[Edgar]*,
*Navarro, G.[Gonzalo]*,

**A compact space decomposition for effective metric indexing**,

*PRL(26)*, No. 9, 1 July 2005, pp. 1363-1376.

Elsevier DOI
**0506**

BibRef

*Téllez, E.S.[Eric Sadit]*,
*Chávez, E.[Edgar]*,
*Camarena-Ibarrola, A.[Antonio]*,

**A Brief Index for Proximity Searching**,

*CIARP09*(529-536).

Springer DOI
**0911**

BibRef

*Xiao, Y.H.[Yang-Hua]*,
*Dong, H.[Hua]*,
*Wu, W.[Wentao]*,
*Xiong, M.[Momiao]*,
*Wang, W.[Wei]*,
*Shi, B.[Baile]*,

**Structure-based graph distance measures of high degree of precision**,

*PR(41)*, No. 12, December 2008, pp. 3547-3561.

Elsevier DOI
**0810**

Graph distance; Distance metric; Structure-based graph distance; SNP
linkage disequilibrium
BibRef

*Chen, D.C.[De-Chang]*,
*Lu, C.T.[Chang-Tien]*,
*Kou, Y.F.[Yu-Feng]*,
*Chen, F.[Feng]*,

**On Detecting Spatial Outliers**,

*GeoInfo(12)*, No. 4, December 2008, pp. xx-yy.

Springer DOI
**0804**

Find the objects whose non-spatial attribute values are
significantly different from the values of their spatial neighbors.
BibRef

*Kim, D.H.[Duck Hoon]*,
*Yun, I.D.[Il Dong]*,
*Lee, S.U.[Sang Uk]*,

**Attributed relational graph matching based on the nested assignment
structure**,

*PR(43)*, No. 3, March 2010, pp. 914-928.

Elsevier DOI
**1001**

BibRef

Earlier:

**A new attributed relational graph matching algorithm using the nested
structure of earth mover's distance**,

*ICPR04*(I: 48-51).

IEEE DOI
**0409**

Attributed relational graph (ARG); ARG matching; Assignment; Nested
assignment structure; Relation vector space
BibRef

*Rezazadeh, S.[Soroosh]*,
*Coulombe, S.[Stéphane]*,

**A novel discrete wavelet transform framework for full reference image
quality assessment**,

*SIViP(7)*, No. 3, May 2013, pp. 559-573.
**1305**

BibRef

Earlier:

**A novel approach for computing and pooling Structural SIMilarity index
in the discrete wavelet domain**,

*ICIP09*(2209-2212).

IEEE DOI
**0911**

BibRef

*Salamat, N.[Nadeem]*,
*Zahzah, E.H.[El-Hadi]*,

**On the improvement of combined fuzzy topological and directional
relations information**,

*PR(45)*, No. 4, 2012, pp. 1559-1568.

Elsevier DOI
**1410**

Fuzzy Allen relations
BibRef

*Alioscha-Perez, M.[Mitchel]*,
*Sahli, H.[Hichem]*,

**Efficient Learning of Spatial Patterns with Multi-Scale Conditional
Random Fields for Region-Based Classification**,

*RS(6)*, No. 8, 2014, pp. 6727-6764.

DOI Link
**1410**

BibRef

*Chai, L.[Li]*,
*Sheng, Y.[Yuxia]*,

**Optimal Design of Multichannel Equalizers for the Structural
Similarity Index**,

*IP(23)*, No. 12, December 2014, pp. 5626-5637.

IEEE DOI
**1412**

image restoration
BibRef

*Chai, L.[Li]*,
*Sheng, Y.[Yuxia]*,
*Zhang, J.X.[Jing-Xin]*,

**Design of synthesis filter banks for the structural similarity index**,

*ICIP13*(849-853)

IEEE DOI
**1402**

Closed-form solutions
BibRef

*Martinek, M.[Michael]*,
*Grosso, R.[Roberto]*,
*Greiner, G.[Günther]*,

**Interactive partial 3D shape matching with geometric distance
optimization**,

*VC(31)*, No. 2, February 2015, pp. 223-233.

WWW Link.
**1503**

BibRef

*Berkels, B.*,
*Effland, A.*,
*Rumpf, M.*,

**Time Discrete Geodesic Paths in the Space of Images**,

*SIIMS(8)*, No. 3, 2015, pp. 1457-1488.

DOI Link
**1511**

See also Group Actions, Homeomorphisms, and Matching: A General Framework.
BibRef

*Nguyen, B.[Bac]*,
*Morell, C.[Carlos]*,
*De Baets, B.[Bernard]*,

**Supervised distance metric learning through maximization of the
Jeffrey divergence**,

*PR(64)*, No. 1, 2017, pp. 215-225.

Elsevier DOI
**1701**

Distance metric learning
BibRef

*Nguyen, B.[Bac]*,
*Morell, C.[Carlos]*,
*De Baets, B.[Bernard]*,

**Distance metric learning with the Universum**,

*PRL(100)*, No. 1, 2017, pp. 37-43.

Elsevier DOI
**1712**

Metric learning
BibRef

Springer DOI

BibRef

*Huang, Y.[Yan]*,
*Wang, W.[Wei]*,
*Wang, L.[Liang]*,

**Instance-Aware Image and Sentence Matching with Selective Multimodal
LSTM**,

*CVPR17*(7254-7262)

IEEE DOI
**1711**

Aggregates, Detectors, Image color analysis,
Pattern recognition, Roads
BibRef

*Veit, A.[Andreas]*,
*Belongie, S.[Serge]*,
*Karaletsos, T.[Theofanis]*,

**Conditional Similarity Networks**,

*CVPR17*(1781-1789)

IEEE DOI
**1711**

Extraterrestrial measurements, Kernel,
Neural networks, Semantics, Visualization
BibRef

*Bautista, M.A.*,
*Sanakoyeu, A.*,
*Ommer, B.*,

**Deep Unsupervised Similarity Learning Using Partially Ordered Sets**,

*CVPR17*(1923-1932)

IEEE DOI
**1711**

Computational modeling, Standards, Training,
Unsupervised learning, Visualization
BibRef

*Nagasawa, Y.[Yusuke]*,
*Nakamura, K.[Kazuaki]*,
*Nitta, N.[Naoko]*,
*Babaguchi, N.[Noboru]*,

**Effect of Junk Images on Inter-concept Distance Measurement:
Positive or Negative?**,

*MMMod17*(II: 173-184).

Springer DOI
**1701**

BibRef

*Chen, Y.[Yukun]*,
*Ye, J.B.[Jian-Bo]*,
*Li, J.[Jia]*,

**A Distance for HMMs Based on Aggregated Wasserstein Metric and State
Registration**,

*ECCV16*(VI: 451-466).

Springer DOI
**1611**

dissimilarity measure or distance between two Hidden Markov Models
BibRef

*Piórkowski, R.[Rafal]*,
*Mantiuk, R.[Radoslaw]*,

**Calibration of Structural Similarity Index Metric to Detect Artefacts
in Game Engines**,

*ICCVG16*(86-94).

Springer DOI
**1611**

BibRef

*Zhu, P.F.[Peng-Fei]*,
*Zhang, L.[Lei]*,
*Zuo, W.M.[Wang-Meng]*,
*Zhang, D.[David]*,

**From Point to Set: Extend the Learning of Distance Metrics**,

*ICCV13*(2664-2671)

IEEE DOI
**1403**

BibRef

*Wang, B.[Bin]*,
*Liu, Y.C.[Yun-Cai]*,

**Discriminative probabilistic kernel learning for image retrieval**,

*ICIP13*(2587-2591)

IEEE DOI
**1402**

GMMs
BibRef

*Wang, B.[Bin]*,
*Shen, Y.[Yi]*,
*Liu, Y.C.[Yun-Cai]*,

**Integrating distance metric learning into label propagation model for
multi-label image annotation**,

*ICIP11*(3649-3652).

IEEE DOI
**1201**

BibRef

*Fu, H.[Hao]*,
*Qiu, G.P.[Guo-Ping]*,
*He, H.[Hangen]*,

**Feature Combination beyond Basic Arithmetics**,

*BMVC11*(xx-yy).

HTML Version.
**1110**

BibRef

*Duan, M.Y.*,
*Zang, Y.*,
*Pu, P.X.*,
*Shi, L.*,

**Geo-Info Graph Spectrum Analysis for Representing Distance Relations in
GIS**,

*GEOBIA10*(xx-yy).

PDF File.
**1007**

BibRef

*Šešelja, B.[Branimir]*,
*Tepavcevic, A.[Andreja]*,

**Weak Fuzzy Equivalence and Equality Relations**,

*PReMI09*(134-139).

Springer DOI
**0912**

BibRef

*Sanroma, G.[Gerard]*,
*Serratosa, F.[Francesc]*,
*Alquezar, R.[Rene]*,

**Improving the matching of graphs generated from shapes by the use of
procrustes distances into a clique-based MAP formulation**,

*ICPR08*(1-4).

IEEE DOI
**0812**

BibRef

*Rothaus, K.[Kai]*,
*Jiang, X.Y.[Xiao-Yi]*,

**Constrained clustering by a novel graph-based distance transformation**,

*ICPR08*(1-4).

IEEE DOI
**0812**

BibRef

*May, T.[Thorsten]*,
*Kohlhammer, J.[Joern]*,

**Visual Verification of Hypotheses**,

*ISVC08*(II: 31-42).

Springer DOI
**0812**

Hypothesis verification. Match visual data with models.
BibRef

*Ochoa, A.[Alberto]*,
*Arco, L.[Leticia]*,

**Differential Betweenness in Complex Networks Clustering**,

*CIARP08*(227-234).

Springer DOI
**0809**

BibRef

*Tian, Q.[Qi]*,
*Xue, Q.[Qing]*,
*Yu, J.[Jie]*,
*Sebe, N.*,
*Huang, T.S.[Thomas S.]*,

**Toward an improved error metric**,

*ICIP04*(IV: 2199-2202).

IEEE DOI
**0505**

BibRef

*Climent, J.*,
*Aranda, J.*,
*Grau, A.[Antoni]*,
*Sanfeliu, A.*,

**Low Cost Architecture for Structure Measure Distance Computation**,

*ICPR98*(Vol II: 1592-1594).

IEEE DOI
**9808**

BibRef

*Azencott, R.*,
*Younes, L.*,
*Coldefy, F.*,

**A Distance for Elastic Matching in Object Recognition**,

*ICPR96*(I: 687-691).

IEEE DOI
**9608**

(ENS Cachan CMLA, F)
BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in

Evidence Theory, Combination Techniques, Optimization Techniques .

Last update:Feb 26, 2018 at 13:41:56