*Edmonds, J.*,

**Maximum Matching and a Polyhedron with (0, 1) Vertices**,

*NBS*(68)(b), 1965, pp.125-130.
BibRef
**6500**

*Edmonds, J.*, and
*Johnson, E.L.*,

**Matching, Euler Tours and the Chinese Postman**,

*Math. Programming(5)*, 1973, pp. 88-124.
BibRef
**7300**

*Gips, J.[James]*,

**A syntax-directed program that performs a three-dimensional perceptual
task**,

*PR(6)*, No. 3-4, December 1974, pp. 189-199.

WWW Link.
**0309**

Analyze mental rotation problem with line drawings.
BibRef

*Udupa, K.J.*,
*Murthy, I.S.N.*,

**Some new concepts for encoding line patterns**,

*PR(7)*, No. 4, December 1975, pp. 225-233.

WWW Link.
**0309**

A sequence of turning and end points.
See also New Concepts for Three-Dimensional Shape Analysis.
BibRef

*Keegan, J.F.[James F.]*,
*Lesk, A.M.[Arthur M.]*,

**How Can You Tell if Two Line Drawings Are the Same?**,

*CGIP(6)*, No. 1, February 1977, pp. 90-92.

WWW Link. Reduce line drawings to canonical form. Equivalent drawings will have same
form.
BibRef
**7702**

*Akl, S.G.*,
*Toussaint, G.T.*,

**An Improved Algorithm to Check for Polygon Similarity**,

*IPL(7)*, 1978, pp. 127-128.
BibRef
**7800**

Earlier:
*PRIP78*(39-41).
BibRef

*Shapiro, L.G.[Linda G.]*,

**Inexact matching of line drawings in a syntactic pattern recognition
system**,

*PR(10)*, No. 5-6, 1978, pp. 313-321.

WWW Link.
**0309**

components and interrelationships.
BibRef

*Medioni, G.G.*, and
*Nevatia, R.*,

**Matching Images Using Linear Features**,

*PAMI(6)*, No. 6, November 1984, pp. 675-685.
BibRef
**8411**
*USC Computer Vision*
BibRef

Earlier:

**Matching Linear Features of Images and Maps**,

*DARPA82*(103-111).
BibRef

And: A1 only:
first title:
*Ph.D.*August 1983,
BibRef
*USC*
*Matching, Lines*.
*Relaxation*. This system matches two views of a scene (or a map and an image) where
there are few geometric distortions--a global transformation is
sufficient to align the line segments in the two views. Given two
line segments in the model and a match of one of these with a segment
in the image, the valid area of the second segment can be restricted
to a parallelogram. This is caused by the fact that the segments are
allowed to partially match anywhere along their lengths. This
parallelogram is used to judge whether a match is valid when another
is assumed. Several matches (3) are derived with a relaxation based
procedure that finds a kernel of matching segments. This kernel is
used to find all the other matching line segments since the segments
in the kernel constrain the position of all the other segments in the
image. This method was used in model to image matching and image to
image matching and can be used in a multi-resolution mode if desired.
See also Segment-Based Stereo Matching.
BibRef

*Kaufman, P.*,
*Medioni, G.G.*, and
*Nevatia, R.*,

**Visual Inspection Using Linear Features**,

*PR(17)*, No. 5, 1984, pp. 485-491.

WWW Link.
BibRef
**8400**
*USC Computer Vision*

PDF File.
BibRef

Earlier:
*CVPR83*(496-497).
An application of the segment matching technique.
BibRef

*Medioni, G.G.*,
*Huertas, A.*, and
*Wilson, M.R.*,

**Automatic Registration of Color Separation Films**,

*MVA(4)*, No. 1, 1991.
BibRef
**9100**
*USC Computer Vision*Feature based approach to get very accurate alignment.
BibRef

*Medioni, G.G.[Gerard G.]*,
*Wilson, M.R.[Monti R.]*,
*Prohaska, T.F.[Timothy F.]*,
*Poretta, L.R.[Lynn R.]*,

**Method and apparatus for registering color separation film**,

*US_Patent*4,849,914, July 18, 1989.

WWW Link.
BibRef
**8907**

*Wilson, M.R.[Monti R.]*,
*Hutchison, V.E.[Victor E.]*,
*Bendure, W.J.[William J.]*,
*Anderson, F.W.[Frederick W.]*,

**Method and apparatus for registering color separation film 1**,

*US_Patent*4,641,244, February 3, 1987.

WWW Link.
BibRef
**8702**

*Medioni, G.*,
*Huertas, A.*,
*Wilson, M.R.*,

**The Registar Machine: From Conception to Installation**,

*WACV92*(224-231).

WWW Link.
BibRef
**9200**
*USC Computer Vision*
BibRef

*Medioni, G.*,

**Matching Regions in Aerial Images**,

*CVPR83*(364-365).
BibRef
**8300**
*USC Computer Vision*
BibRef

Earlier:

**Matching High Level Features of an Aerial Image with a Map or
Another Image**,

*CVWS82*(113-115).
BibRef

*Matsuyama, T.[Takashi]*,
*Arita, H.[Hidekazu]*,
*Nagao, M.[Makoto]*,

**Structural Matching of Line Drawings Using the Geometric
Relationship between Line Segments**,

*CVGIP(27)*, No. 2, August 1984, pp. 177-194. (Kyoto)

WWW Link. Relationships between pairs of lines are used in the matching
process. The relations seem to be sets of three lines which
intersect one line. The properties would then be related to this
pattern. This may be useful.
BibRef
**8408**

*McIntosh, J.H.[James H.]*,
*Mutch, K.M.[Kathleen M.]*,

**Matching Straight Lines**,

*CVGIP(43)*, No. 3, September 1988, pp. 386-408.

WWW Link. The matching is based on parameters extracted from the regions where
the straight line is located (i.e. features of the segments), not on
adjacencies, contours, etc.
BibRef
**8809**

*Liu, Y.C.[Yun-Cai]*, and
*Huang, T.S.*,

**Determining Straight Line Correspondences from Intensity Images**,

*PR(24)*, No. 6, 1991, pp. 489-504.

WWW Link. For use of this algorithm:
See also Estimation of Rigid Body Motion Using Straight Line Correspondences. See also Rigid Object Motion Estimation from Intensity Images Using Straight Line Correspondences.
BibRef
**9100**

*Borgefors, G.[Gunilla]*,

**Hierarchical Chamfer Matching:
A Parametric Edge Matching Algorithm**,

*PAMI(10)*, No. 6, November 1988, pp. 849-865.

IEEE DOI
BibRef
**8811**

Earlier:

**An Improved Version of the Chamfer Matching Algorithm**,

*ICPR84*(1175-1177).
BibRef

Earlier:

**Chamfering: A fast method for obtaining approximations of the
Euclidean distance in N dimensions**,

*SCIA83*(250-255).
*Pyramid Structure*.
*Chamfer Matching*.
*Matching, Chamfer*. Applies chamfer techniques to a pyramid representation for
efficiency.
BibRef

*Burr, D.J.*,

**Elastic Matching of Line Drawings**,

*PAMI(3)*, No. 6, November 1981, pp. 708-713.
BibRef
**8111**

Earlier:
*ICPR80*(223-228). (Bell Labs).
Interesting for a low level Comparison of lines using a local
stretching of the segment data. E.g. use for determining edge-edge
match in a global system.
BibRef

*Burr, D.J.*,

**A Technique for Comparing Curves**,

*PRIP79*(271-277).
BibRef
**7900**

*Fritsch, D.S.*,
*Pizer, S.M.*,
*Morse, B.S.*,
*Eberly, D.H.*,
*Liu, A.*,

**The Multiscale Medial Axis and Its Applications in
Image Registration**,

*PRL(15)*, No. 5, May 1994, pp. 445-452.
*Medial Axis Transform*.
BibRef
**9405**

*Cox, I.J.*,
*Kruskal, J.B.*, and
*Wallach, D.A.*,

**Predicting and Estimating the Accuracy of a Subpixel Registration
Algorithm**,

*PAMI(12)*, No. 8, August 1990, pp. 721-734.

IEEE DOI Discusses different causes of errors and enables the prediction of
the match error.
BibRef
**9008**

*Cox, I.J.*, and
*Kruskal, J.B.*,

**On the Congruence of Noisy Images to Line Segment Models**,

*ICCV88*(252-258).

IEEE DOI Find the closest line. See the above for an analysis.
BibRef
**8800**

*Barrow, H.G.*,
*Tenenbaum, J.M.*,
*Bolles, R.C.*, and
*Wolf, H.C.*,

**Parametric Correspondence and Chamfer Matching:
Two New Techniques for Image Matching**,

*IJCAI77*(659-663).
BibRef
**7700**

And:
*DARPA77*(21-27).
*Matching, Chamfer*.
*Chamfer matching*. The early incomplete chamfer matching paper. Weight the distance from the
ideal match, store the values in an image. This is used to guide the search
for the best fit. k
For the model, a chamfer image is created where the
image value is based on the distance to a line in the model (this is
the derivation of the name).
There is no better reference that I know,
this one is poor, but at the time there were fewer journal publications.
BibRef

*Lai, J.Z.C.*,

**Sensitivity Analysis Of Line Correspondence**,

*SMC(25)*, No. 6, June 1995, pp. 1016-1023.
BibRef
**9506**

*Clark, C.S.*,
*Conti, D.K.*,
*Eckhardt, W.O.*,
*McCulloh, T.A.*,
*Nevatia, R.*, and
*Tseng, D.Y.*,

**Matching of Natural Terrain Scenes**,

*ICPR80*(217-222). (Hughes).
BibRef
**8000**
*USC Computer Vision*
*Matching, Lines*. The program matches two views of a scene with natural terrain using
the boundaries of dominant objects. The input line segments can be
generated by any means, but this paper used objects extracted by a
histogram based segmentation procedure that gets some of the more
obvious regions. Straight lines segment representations of the
regions provide the input to the matching procedure. From three
lines in the image, form an initial guess for the match. Evaluate
the match by applying the computed transform to all other lines and
finding corresponding line segments in the second view. The best
match, in terms of the number and quality of the matching segments,
provides the global transformation between the two views.
BibRef

*Clark, C.S.*,
*Luk, A.*,
*McNary, C.*,

**Feature Based Scene Analysis and Model Matching**,

*NATO ASI()*, Pattern Recognition and Signal Processing
Paris, 1978.
Early version of the other Clark et al. papers.
BibRef
**7800**

*Clark, C.S.*,
*Eckhardt, W.O.*,
*McNary, C.*,
*Nevatia, R.*,
*Olin, K.*, and
*van Orden, E.*,

**High Accuracy Model Matching for Scenes Containing
Man-Made Structures**,

*SPIE(186)*, Symposium on Digital Processing of Aerial Images, 1979,
pp. 54-62.
BibRef
**7900**
*USC Computer Vision*Related to the first Clark et al. paper.
BibRef

*Xie, M.[Ming]*,

**Cooperative Strategy for Matching Multilevel Edge Primitives**,

*IVC(13)*, No. 2, March 1995, pp. 89-99.

WWW Link.
BibRef
**9503**

*Beveridge, J.R.*, and
*Riseman, E.M.*,

**Optimal Geometric Model-Matching under Full 3D Perspective**,

*CVIU(61)*, No. 3, May 1995, pp. 351-364.

DOI Link

PS File.
BibRef
**9505**

Earlier:

**Hybrid Weak-Perspective and Full-Perspective Matching**,

*CVPR92*(432-438).

IEEE DOI

PS File.
BibRef

Earlier:

**Can Too Much Perspective Spoil the View? A Case Study in 2D
Affine Versus 3D Perspective Model Matching**,

*DARPA92*(655-663).
BibRef

And:
*COINS*TR-91-86, November 1991.
BibRef

*Beveridge, J.R.*,
*Riseman, E.M.*,

**How Easy Is Matching 2D Line Models Using Local Search?**,

*PAMI(19)*, No. 6, June 1997, pp. 564-579.

IEEE DOI

PS File.
**9708**

BibRef

*Beveridge, J.R.[J. Ross]*,
*Graves, C.R.[Christopher R.]*,
*Steinborn, J.[Jim]*,

**Comparing Random-Starts Local Search with Key-Feature Matching**,

*IJCAI97*(1476-1481).

PS File.
BibRef
**9700**

*Beveridge, J.R.*,

**Local Search Algorithms for Geometric Object Recognition:
Finding the Optimal Correspondence and Pose**,

*UMass*TR 93-71, September 1993.
BibRef
**9309**
*Ph.D.*Thesis.

PS File.
BibRef

*Whitley, D.*,
*Beveridge, J.R.*,
*Graves, C.*,
*Mathias, K.*,

**Test Driving Three 1995 Genetic Algorithms:
New Test Functions and Geometric Matching**,

*Heuristics(1)*, No. 1, 1995, pp. 77-104.
BibRef
**9500**

*Collins, R.T.*, and
*Beveridge, J.R.*,

**Matching Perspective Views of Coplanar Structures Using
Projective Unwarping and Similarity Matching**,

*CVPR93*(240-245).

IEEE DOI
BibRef
**9300**

And:
*DARPA93*(459-463).
BibRef

And:
*COINS*94-06, February 1994.
Line segment matching for rectification.
BibRef

*Beveridge, J.R.*,
*Riseman, E.R.*,
*Graves, C.R.*,

**Demonstrating Polynomial Run-Time Growth for Local Search Matching**,

*SCV95*(533-538).

IEEE DOI Colorado State Univ.. U. of Massachusetts. Colorado State Univ..
BibRef
**9500**

*Beveridge, J.R.*,
*Weiss, R.*, and
*Riseman, E.M.*,

**Optimization of 2-Dimensional Model Matching**,

*ICPR90*(I: 18-23).

IEEE DOI
BibRef
**9000**

And:
*DARPA89*(815-830).
BibRef

And:

**Optimization of 2-Dimensional Model Matching Under Rotation, Translation
and Scale**,

*COINS*TR-89-57, June 1989.
Given a line model and edges in the image, match by a Hough approach
over global translation and rotation. This is followed by a local
search to find the exact match. The results are good, but the idea
is basic.
BibRef

*Stevens, M.R.*,
*Beveridge, J.R.[J. Ross]*,

**Precise Matching of 3-D Target Models to Multisensor Data**,

*IP(6)*, No. 1, January 1997, pp. 126-142.

IEEE DOI

PS File.
**9703**

BibRef

*Stevens, M.R.[Mark R.]*,
*Beveridge, J.R.[J. Ross]*,

**Localized Scene Interpretation from 3D Models, Range, and Optical Data**,

*CVIU(80)*, No. 2, November 2000, pp. 111-129.

DOI Link
**0012**

BibRef

*Stevens, M.R.[Mark R.]*,
*Beveridge, J.R.[J. Ross]*,

**Integrating Graphics and Vision for Object Recognition**,

*Kluwer*October 2000, ISBN 0-7923-7207-7.

WWW Link.
BibRef
**0010**

*Stevens, M.R.*,
*Beveridge, J.R.*,

**Interleaving 3D Model Feature Prediction and Matching to
Suport Multi-Sensor Object Recognition**,

*ICPR96*(I: 607-611).

IEEE DOI
**9608**

BibRef
*ARPA96*(699-706).
(Colorado State Univ., USA)

PS File. And the IUW Version:

PS File.
BibRef

*Stevens, M.R.*,

**Reasoning About Object Appearance in the Context of a Scene**,

*Ph.D.*Thesis, Colorado State University, 1999.
BibRef
**9900**

*Beveridge, J.R.*,
*Graves, C.*,
*Lesher, C.E.*,

**Local Search as a Tool for Horizon Line Matching**,

*ARPA96*(683-686).

PS File.
BibRef
**9600**

*Lee, C.H.[Chia-Hoang]*,
*Joshi, A.[Anupam]*,

**On Correspondence, Line Tokens And Missing Tokens**,

*PR(28)*, No. 11, November 1995, pp. 1751-1764.

WWW Link.
BibRef
**9511**

*Bhandarkar, S.M.*,
*Suk, M.*,

**Sensitivity Analysis for Matching and Pose Computation Using
Dihedral Junctions**,

*PR(24)*, No. 6, 1991, pp. 505-513.

WWW Link.
BibRef
**9100**

*Nagao, M.*,

**Shape Recognition by Human-Like Trial and Error Random Processes**,

*PRAI(10)*, 1996, pp. 473-490.
BibRef
**9600**

*Lee, H.J.*,
*Yu, D.J.*,

**Line-Based Structural Matching Via Segment Splitting**,

*PRL(11)*, 1990, pp. 181-189.
BibRef
**9000**

*Christie, S.*,
*Kvasnik, F.*,

**Correlation and Image Recognition with Surface-Scattered Light**,

*AppOpt(36)*, No. 14, May 10 1997, pp. 3013-3021.
**9706**

BibRef

*Atalay, V.[Volkan]*,
*Yilmaz, M.U.[M. Ugur]*,

**A matching algorithm based on linear features**,

*PRL(19)*, No. 9, 31 July 1998, pp. 857-867.
BibRef
**9807**

*Pearce, A.R.[Adrian R.]*,
*Caelli, T.M.[Terry M.]*,

**Interactively Matching Hand-Drawings Using Induction**,

*CVIU(73)*, No. 3, March 1999, pp. 391-403.

DOI Link
BibRef
**9903**

*Park, S.H.[Sang Ho]*,
*Lee, K.M.[Kyoung Mu]*,
*Lee, S.U.[Sang Uk]*,

**A Line Feature Matching Technique Based on an Eigenvector Approach**,

*CVIU(77)*, No. 3, March 2000, pp. 263-283.

DOI Link
**0004**

BibRef

*Zhu, Z.F.[Zhen-Feng]*,
*Tang, M.[Ming]*,
*Lu, H.Q.[Han-Qing]*,

**A new robust circular Gabor based object matching by using weighted
Hausdorff distance**,

*PRL(25)*, No. 4, March 2004, pp. 515-523.

WWW Link.
**0402**

Matching edge maps from Gabor edge filter.
BibRef

*Meikle, S.[Stuart]*,
*Amavasai, B.P.*,
*Caparrelli, F.*,

**Towards real-time object recognition using pairs of lines**,

*RealTimeImg(11)*, No. 1, February 2005, pp. 31-43.

WWW Link.
**0506**

BibRef

*Du, H.[Hao]*,
*Chen, Y.Q.[Yan Qiu]*,

**Rectified nearest feature line segment for pattern classification**,

*PR(40)*, No. 5, May 2007, pp. 1486-1497.

WWW Link.
**0702**

Pattern classification; Nearest feature line;
Rectified nearest feature line segment; Distribution concentration;
Interpolation and extrapolation accuracy
BibRef

*Trias-Sanz, R.[Roger]*,
*Pierrot-Deseilligny, M.[Marc]*,
*Louchet, J.[Jean]*,
*Stamon, G.[Georges]*,

**Methods for Fine Registration of Cadastre Graphs to Images**,

*PAMI(29)*, No. 11, November 2007, pp. 1990-2000.

IEEE DOI
**0711**

Match edges in imprecise graph to precise edges in the image.
BibRef

*Trias-Sanz, R.*,
*Pierrot-Deseilligny, M.*,

**A region-based method for graph to image registration with an
application to cadastre data**,

*ICIP04*(III: 1703-1706).

IEEE DOI
**0505**

BibRef

*Ko, S.[San]*,
*Lee, K.M.[Kyoung Mu]*,

**Structural Object Recognition Using Entropy Correspondence Measure of
Line Features**,

*IEICE(E91-D)*, No. 1, January 2008, pp. 78-85.

DOI Link
**0801**

BibRef

*Wang, Z.H.[Zhi-Heng]*,
*Wu, F.C.[Fu-Chao]*,
*Hu, Z.Y.[Zhan-Yi]*,

**MSLD: A robust descriptor for line matching**,

*PR(42)*, No. 5, May 2009, pp. 941-953.

Elsevier DOI
**0902**

Line matching; Line descriptor; MSLD descriptor
See also Towards reliable matching of images containing repetitive patterns.
BibRef

*Wang, Z.H.[Zhi-Heng]*,
*Liu, H.M.[Hong-Min]*,
*Wu, F.C.[Fu-Chao]*,

**Image Content Based Curve Matching Using HMCD Descriptor**,

*ACCV09*(III: 448-455).

Springer DOI
**0909**

BibRef

*Fan, B.[Bin]*,
*Wu, F.C.[Fu-Chao]*,
*Hu, Z.Y.[Zhan-Yi]*,

**Robust line matching through line-point invariants**,

*PR(45)*, No. 2, February 2012, pp. 794-805.

Elsevier DOI
**1110**

BibRef

Earlier:

**Line matching leveraged by point correspondences**,

*CVPR10*(390-397).

IEEE DOI
**1006**

Line matching; Point matching; Line-point invariants
BibRef

*Ueaoki, K.[Katsutoshi]*,
*Iwata, K.[Kazunori]*,
*Suematsu, N.[Nobuo]*,
*Hayashi, A.[Akira]*,

**Matching Handwritten Line Drawings with Von Mises Distributions**,

*IEICE(E94-D)*, No. 12, December 2011, pp. 2487-2494.

WWW Link.
**1112**

BibRef

*Shang, S.[Shuo]*,
*Yuan, B.[Bo]*,
*Deng, K.[Ke]*,
*Xie, K.[Kexin]*,
*Zheng, K.[Kai]*,
*Zhou, X.F.[Xiao-Fang]*,

**PNN query processing on compressed trajectories**,

*GeoInfo(16)*, No. 3, July 2012, pp. 467-496.

WWW Link.
**1202**

Trajectory compression for spatial-temporal database.
Path nearest neighbor: PNN. Find most likely path in a given road network.
BibRef

*Mosaddegh, S.[Saleh]*,
*Fofi, D.[David]*,
*Vasseur, P.[Pascal]*,

**Short baseline line matching for central imaging systems**,

*PRL(33)*, No. 16, 1 December 2012, pp. 2292-2301.

Elsevier DOI
**1210**

BibRef

Earlier:

**A Generic Method of Line Matching for Central Imaging Systems under
Short-Baseline Motion**,

*CIAP09*(939-948).

Springer DOI
**0909**

Central omnidirectional image; Catadioptric; Fish-eye; Line segments
matching; Short baseline; Constructed scene
BibRef

*Mosaddegh, S.[Saleh]*,
*Fofi, D.[David]*,
*Vasseur, P.[Pascal]*,
*Ainouz, S.[Samia]*,

**Line Matching across Catadioptric Images**,

*OMNIVIS08*(xx-yy).
**0810**

BibRef

*Altnçay, H.[Hakan]*,
*Erenel, Z.[Zafer]*,

**Avoiding the interpolation inaccuracy in nearest feature line
classifier by spectral feature analysis**,

*PRL(34)*, No. 12, 1 September 2013, pp. 1372-1380.

Elsevier DOI
**1306**

Nearest feature line; Interpolation inaccuracy; Spectral
clustering; Spectral feature analysis; Shortest feature line segment
BibRef

*Zhang, L.[Lilian]*,
*Koch, R.[Reinhard]*,

**An efficient and robust line segment matching approach based on LBD
descriptor and pairwise geometric consistency**,

*JVCIR(24)*, No. 7, 2013, pp. 794-805.

Elsevier DOI
**1309**

BibRef

Earlier:

**Line Matching Using Appearance Similarities and Geometric Constraints**,

*DAGM12*(236-245).

Springer DOI
**1209**

Line segment matching
BibRef

*Kaliamoorthi, P.*,
*Kakarala, R.*,

**Directional Chamfer Matching in 2.5 Dimensions**,

*SPLetters(20)*, No. 12, 2013, pp. 1151-1154.

IEEE DOI
**1311**

image matching
BibRef

*Jegelka, S.[Stefanie]*,
*Kapoor, A.[Ashish]*,
*Horvitz, E.J.[Eric J.]*,

**An Interactive Approach to Solving Correspondence Problems**,

*IJCV(108)*, No. 1-2, May 2014, pp. 49-58.

Springer DOI
**1405**

interactive, occlusions, deformations.
BibRef

*Kondo, T.[Toshiaki]*,

**Gradient orientation pattern matching with the Hamming distance**,

*PR(47)*, No. 10, 2014, pp. 3387-3404.

Elsevier DOI
**1406**

Pattern matching. Gradient orientations, not image values.
BibRef

*López, J.[Juan]*,
*Santos, R.[Roi]*,
*Fdez-Vidal, X.R.[Xosé R.]*,
*Pardo, X.M.[Xosé M.]*,

**Two-view line matching algorithm based on context and appearance in
low-textured images**,

*PR(48)*, No. 7, 2015, pp. 2164-2184.

Elsevier DOI
**1504**

Line detection and matching
BibRef

*Yu, Q.[Qian]*,
*Wei, H.[Hui]*,
*Yang, C.Z.[Cheng-Zhuan]*,

**Local part chamfer matching for shape-based object detection**,

*PR(65)*, No. 1, 2017, pp. 82-96.

Elsevier DOI
**1702**

Chamfer matching
BibRef

*Wei, H.[Hui]*,
*Yang, C.Z.[Cheng-Zhuan]*,
*Yu, Q.[Qian]*,

**Contour segment grouping for object detection**,

*JVCIR(48)*, No. 1, 2017, pp. 292-309.

Elsevier DOI
**1708**

Shape-based, object, detection
BibRef

IEEE DOI

Databases, Feature extraction, Image segmentation, Layout, Semantics, Solid modeling, Topology BibRef

*Jia, Q.[Qi]*,
*Gao, X.[Xinkai]*,
*Fan, X.[Xin]*,
*Luo, Z.X.[Zhong-Xuan]*,
*Li, H.[Haojie]*,
*Chen, Z.[Ziyao]*,

**Novel Coplanar Line-Points Invariants for Robust Line Matching Across
Views**,

*ECCV16*(VIII: 599-611).

Springer DOI
**1611**

BibRef

*Wang, J.X.[Jing-Xue]*,
*Wang, W.[Weixi]*,
*Li, X.M.[Xiao-Ming]*,
*Cao, Z.Y.[Zhen-Yu]*,
*Zhu, H.[Hong]*,
*Li, M.[Miao]*,
*He, B.[Biao]*,
*Zhao, Z.G.[Zhi-Gang]*,

**Line Matching Algorithm for Aerial Image Combining image and object
space similarity constraints**,

*ISPRS16*(B3: 783-788).

DOI Link
**1610**

BibRef

*Li, K.[Kai]*,
*Yao, J.[Jian]*,
*Lu, M.S.[Meng-Sheng]*,
*Heng, Y.[Yuan]*,
*Wu, T.[Teng]*,
*Li, Y.X.[Yin-Xuan]*,

**Line segment matching: A benchmark**,

*WACV16*(1-9)

IEEE DOI
**1606**

Benchmark testing
BibRef

*Imperoli, M.[Marco]*,
*Pretto, A.[Alberto]*,

**D2CO: Fast and Robust Registration of 3D Textureless Objects Using
the Directional Chamfer Distance**,

*CVS15*(316-328).

Springer DOI
**1507**

Direct Directional Chamfer Optimization: D2CO
BibRef

*Li, K.[Kai]*,
*Yao, J.[Jian]*,
*Lu, X.[Xiaohu]*,

**Robust Line Matching Based on Ray-Point-Ray Structure Descriptor**,

*RoLoD14*(554-569).

Springer DOI
**1504**

BibRef

*Ly, D.S.[Dieu Sang]*,
*Demonceaux, C.[Cedric]*,
*Seulin, R.[Ralph]*,
*Fougerolle, Y.[Yohan]*,

**Scale invariant line matching on the sphere**,

*ICIP13*(3022-3025)

IEEE DOI
**1402**

Line matching;hybrid cameras;sphere
BibRef

*Liu, Z.[Zhe]*,
*Marlet, R.[Renaud]*,

**Virtual Line Descriptor and Semi-Local Graph Matching Method for
Reliable Feature Correspondence**,

*BMVC12*(16).

DOI Link
**1301**

See also Indoor Calibration Using Segment Chains.
BibRef

*Wang, W.*,
*Lou, A.*,
*Wang, J.*,

**The Research of Line Matching Algorithm Under The Improved Homograph
Matrix Constraint Condition**,

*ISPRS12*(XXXIX-B3:345-350).

DOI Link
**1209**

BibRef

*Dalyot, S.*,
*Dahinden, T.*,
*Dahinden, M.J.*,
*Boljen, J.*,
*Sester, M.*,

**Geometrical Adjustment Towards The Alignment of Vector Databases**,

*AnnalsPRS(I-4)*, No. 2012, pp. 13-18.

HTML Version.
**1209**

BibRef

*Gherabi, N.[Noreddine]*,
*Bahaj, M.[Mohamed]*,

**Outline Matching of the 2D Shapes Using Extracting XML Data**,

*ICISP12*(502-512).

Springer DOI
**1208**

BibRef

*Ma, T.Y.[Tian-Yang]*,
*Yang, X.W.[Xing-Wei]*,
*Latecki, L.J.[Longin Jan]*,

**Boosting Chamfer Matching by Learning Chamfer Distance Normalization**,

*ECCV10*(V: 450-463).

Springer DOI
**1009**

BibRef

*Liu, M.Y.[Ming-Yu]*,
*Tuzel, O.[Oncel]*,
*Veeraraghavan, A.[Ashok]*,
*Chellappa, R.[Rama]*,

**Fast directional chamfer matching**,

*CVPR10*(1696-1703).

IEEE DOI
**1006**

*Chamfer Matching*.
BibRef

*Kim, T.M.[Tae-Min]*,
*Woo, J.W.[Jih-Wan]*,
*Kweon, I.S.[In So]*,

**Probabilistic matching of lines for their homography**,

*ICIP09*(3489-3492).

IEEE DOI
**0911**

BibRef

Earlier: A2, A3, A1:

**Probabilistic matching of line segments for their homography**,

*ICPR08*(1-4).

IEEE DOI
**0812**

BibRef

*Cho, T.H.[Tai-Hoon]*,

**Improved Chamfer Matching Using Interpolated Chamfer Distance and
Subpixel Search**,

*SCIA07*(671-678).

Springer DOI
**0706**

BibRef

*Yu, Z.W.[Zhan-Wu]*,
*Prinet, V.*,
*Pan, C.H.[Chun-Hong]*,

**A novel two-steps strategy for automatic GIS-image registration**,

*ICIP04*(III: 1711-1714).

IEEE DOI
**0505**

BibRef

*Chan, H.B.*,
*Hung, Y.S.*,

**Matching patterns of line segments by eigenvector decomposition**,

*Southwest02*(286-289).

IEEE Top Reference.
**0208**

BibRef

*Kawaguchi, T.[Tsuyoshi]*,
*Sinozaki, T.[Takayuki]*,
*Nagata, R.I.[Ryo-Ichi]*,

**Detection of Target Models in 2D Images by Line-Based Matching and a
Genetic Algorithm**,

*ICIP99*(II:710-714).

IEEE DOI
BibRef
**9900**

*Laumy, M.*,
*Dhome, M.*,
*Lapreste, J.T.*,

**Segments Matching:
Comparison Between a Neural Approach and a Classical Optimization Way**,

*ICPR96*(IV: 261-265).

IEEE DOI
**9608**

(Univ. Blaise Pascal, F)
BibRef

*Sugiyama, T.*,
*Abe, K.*,

**Edge Feature Analysis by a Vectorized Feature Extractor
and in Multiple Edges**,

*ICPR96*(II: 280-284).

IEEE DOI
**9608**

(Shizuoka Univ., J)
BibRef

*Marchand-Maillet, S.*,
*Sharaiha, Y.M.*,

**A Minimum Spanning Tree Approach to Line Image Analysis**,

*ICPR96*(II: 225-230).

IEEE DOI
**9608**

(Imperial College of Science, Technology and Medicine, UK)
BibRef

*de Knecht, J.*,
*Schutte, K.*,

**Finding map correspondence using geometric models**,

*ICPR96*(II: 755-759).

IEEE DOI
**9608**

(Delft Univ. of Technology, NL)
BibRef

*Cross, A.D.J.*,
*Hancock, E.R.*,

**Relational Matching with Stochastic Optimisation**,

*SCV95*(365-370).

IEEE DOI
*Relaxation*. University of York.
Graph based matching for line drawings (map) with an image.
BibRef
**9500**

*Cross, A.D.J.*,
*Hancock, E.R.*,

**Holistic matching**,

*ECCV98*(II: 140).

Springer DOI
BibRef
**9800**

*Finch, A.M.*,
*Hancock, E.R.*,
*Wilson, R.C.*,

**Relational Matching With Mean Field Annealing**,

*ICPR96*(II: 359-363).

IEEE DOI
**9608**

(Univ. of York, UK)
BibRef

*Heller, A.J.*, and
*Stenstrom, J.R.*,

**Verification of Recognition and Alignment Hypotheses by Means of
Edge Verification Statistics**,

*DARPA89*(957-966).
Line Segment based matching to verify
recognition results. The line must be in the right area.
BibRef
**8900**

*Poggio, T.[Tomaso]*,
*Librande, S.E.[Stephen E.]*,

**Computer method and apparatus for matching between line drawings**,

*US_Patent*5,325,475, Jun 28, 1994

WWW Link.
BibRef
**9406**

*Jones, M.J.[Michael J.]*,
*Poggio, T.[Tomaso]*,

**Model-Based Matching by Linear Combinations of Prototypes**,

*DARPA97*(1357-1366).
BibRef
**9700**

*Jones, M.J.[Michael J.]*,
*Poggio, T.[Tomaso]*,

**Model-Based Matching of Line Drawings by Linear Combinations
of Prototypes**,

*ICCV95*(531-536).

IEEE DOI
BibRef
**9500**

And:
*MIT AI Memo*-1559, December 1995.
BibRef

And:
Update:
*MIT AI Memo*-1583.

WWW Link. And the updated version:

WWW Link. Basic line/contour match with prototypes.
BibRef

*Jiang, X.Y.*,
*Meier, U.*,
*Bunke, H.*,

**Scale-Invariant Polyhedral Object Recognition Using
Fragmentary Edge Segments**,

*ICPR94*(A:850-853).

IEEE DOI
BibRef
**9400**

*Meer, P.*,
*Weiss, I.*,

**Point/Line Correspondence under 2D Projective Transformation**,

*ICPR92*(I:399-402).

IEEE DOI
BibRef
**9200**

*Laganière, R.[Robert]*,
*Mitiche, A.[Amar]*,

**A 3D interpretation system based on consistent labeling of a set of
propositions. Application to the interpretation of straight line
correspondences**,

*ECCV90*(521-525).

Springer DOI
**9004**

BibRef

*Nakamura, Y.*,
*Nagao, M.*,

**Recognition of Overlapping 2-D Objects by
Local Feature Construction Method**,

*ICPR88*(II: 1046-1048).

IEEE DOI
BibRef
**8800**

*Pan, F.*,
*Gu, W.K.*,
*Jing, R.J.*,

**A Back Tracking Algorithm for Matching Two Line Drawings of a
3-D Moving Object**,

*ICPR86*(1096-1098).
BibRef
**8600**

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

2-D/2-D Lines Accumuation Techniques .

Last update:Sep 25, 2017 at 16:36:46