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Cohn, A.G.[Anthony G.],
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Cohn, A.G.[Anthony G.],
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Shekhar, S.[Shashi],
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Fuzzy Relative Position Between Objects in Image Processing:
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9907
Earlier:
Fuzzy classification for multi-modality image fusion,
ICIP94(I: 628-632).
IEEE DOI Link
9411
Relative positions using fuzzy sets for structural descriptions.
See also Fuzzy Connectivity and Mathematical Morphology.
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Springer DOI Link
0908
See also Fuzzy Connectivity and Mathematical Morphology.
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Unifying Quantitative, Semi-quantitative and Qualitative Spatial
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9709
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Bloch, I.[Isabelle],
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Directional Relative Position Between Objects in Image Processing:
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Fuzzy relative position between objects in images:
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9610
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Matsakis, P.,
Keller, J.M.,
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0109
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Matsakis, P.[Pascal],
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PAMI(21), No. 7, July 1999, pp. 634-643.
IEEE Abstract.
IEEE DOI Link This paper describes a method for computing relative position
relations (e.g. above, to left of, to the east of, etc.)
between two-dimensional objects in images. These relations
are commonally used in human descriptions of scenes, but there is
no precise definition for such relations especially
when areal (i.e. a 2-D region) features are involved.
The aim of this paper is not to give a precise definition to a relation
such as "to the left of," but to provide an efficient and understandable
way to compute this property, no matter what exact definition is desired.
The authors introduce the idea of a "histogram of forces" that gives a
value for each angle of the "force" between the two objects. A high force
would indicate support for that relationship. As an example of the results,
the system produces a moderately strong value (55 and 65, depending on
the force definition used) for the relation
"Spain is south of France" and a weaker value (47 and 40) for
"Spain is West of France," which corresponds to the general human
interpretation of their relationship.
See also Modelling of Spatial Relations, The.
BibRef
9907
Skubic, M.,
Matsakis, P.,
Chronis, G.,
Keller, J.M.,
Generating Multi-Level Linguistic Spatial Descriptions form Range
Sensor Readings Using the Histogram of Forces,
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0300
Skubic, M.,
Perzanowski, D.,
Blisard, S.,
Schultz, A.,
Adams, W.,
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Spatial language for human-robot dialogs,
SMC-C(34), No. 2, May 2004, pp. 154-167.
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0407
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Matsakis, P.[Pascal],
Keller, J.M.[James M.],
Sjahputera, O.[Ozy],
Marjamaa, J.[Jonathon],
The Use of Force Histograms for Affine-Invariant Relative Position
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IEEE Abstract.
0401
How affine transforms affect the descriptor.
Any 2 of applied affine transform, relative position before, relative position
after, allows other to be determined.
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Relations Spatiales Structurelles et Interpretation d'Images,
Ph.D.Thesis, Institut de Recherche en Informatique de Toulouse, France, 1998.
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9800
Matsakis, P.[Pascal],
Wendling, L.[Laurent],
Desachy, J.,
Representation de la Position Relativ d'Objets 2D au Moyen d'un Histogramme de Froces,
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9800
Matsakis, P.[Pascal],
Ni, J.[JingBo],
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Object Localization Based on Directional Information:
Case of 2D Raster Data,
ICPR06(II: 142-146).
IEEE DOI Link
0609
Directional spatial relations.
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Keller, J.M.[James M.],
Wang, X.M.[Xiao-Mei],
A Fuzzy Rule-Based Approach to Scene Description Involving Spatial
Relationships,
CVIU(80), No. 1, October 2000, pp. 21-41.
WWW Version.
0010
BibRef
Keller, J.M.,
Gader, P.D.,
Wang, X.,
LADAR Scene Description Using Fuzzy Morphology and Rules,
CVBVS99(120).
IEEE DOI Link
BibRef
9900
Krishnapuram, R.,
Keller, J.M.,
Ma, Y.,
Quantative Analysis of Properties and Spatial Relations of
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Fuzzy(1), No. 3, 1993, pp. 222-233.
Histogram of angles for relationships.
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9300
Medasani, S.,
Krishnapuram, R.,
Keller, J.M.,
Are Fuzzy Definitions of Basic Attributes of Image Objects Really
Useful?,
SMC-A(29), No. 4, July 1999, pp. 378.
IEEE Top Reference.
BibRef
9907
Xiong, D.M.[De-Min],
Lin, H.[Hui],
Spatial Data Handling for ITS: Perspective, Issues and Approaches,
GeoInfo(4), No. 2, June 2000, pp. 215-230.
WWW Version.
0509
BibRef
Jan, S.R.,
Hsueh, Y.C.,
Primitive spatial relations based on SKIZ,
IVC(18), No. 8, 15 May 2000, pp. 597-605.
WWW Version.
0003
BibRef
Guru, D.S.,
Nagabhushan, P.,
Triangular Spatial Relationship:
A New Approach for Spatial Knowledge Representation,
PRL(22), No. 9, July 2001, pp. 999-1006.
Elsevier DOI Link
0106
BibRef
Lang, D.[Dieter],
Winter, S.[Stephan],
Frank, A.U.[Andrew U.],
Neighborhood Relations between Fields with Applications to Cellular
Networks,
GeoInfo(5), No. 2, June 2001, pp. 127-144.
WWW Version.
0108
BibRef
Gerevini, A.[Alfonso],
Renz, J.[Jochen],
Combining topological and size information for spatial reasoning,
AI(137), No. 1-2, May 2002, pp. 1-42.
WWW Version.
0205
BibRef
Chen, J.[Jun],
Zhao, R.[Renliang],
Li, Z.L.[Zhi-Lin],
Voronoi-based k-order neighbour relations for spatial analysis,
PandRS(59), No. 1-2, August 2004, pp. 60-72.
WWW Version.
0411
Spatial relationships.
BibRef
Bloch, I.[Isabelle],
Fuzzy Spatial Relationships for Image Processing and Interpretation:
A Review,
IVC(23), No. 2, 1 February 2004, pp. 89-110.
WWW Version.
0412
BibRef
Lazebnik, S.[Svetlana],
Ponce, J.[Jean],
The Local Projective Shape of Smooth Surfaces and Their Outlines,
IJCV(63), No. 1, June 2005, pp. 65-83.
Springer DOI Link
0501
BibRef
Earlier:
ICCV03(83-89).
IEEE DOI Link
0311
Projective invariant features of curves and surfaces.
BibRef
Dehak, S.M.R.[Sidi Mohammed Reda],
Bloch, I.[Isabelle],
Maitre, H.[Henri],
Spatial Reasoning with Incomplete Information on Relative Positioning,
PAMI(27), No. 9, September 2005, pp. 1473-1484.
IEEE DOI Link
0508
Inferring relative position of 2 points knowing their relative position
to a third point.
E.g. map locations.
BibRef
Yoo, J.S.[Jin Soung],
Shekhar, S.[Shashi],
In-Route Nearest Neighbor Queries,
GeoInfo(9), No. 2, June 2005, pp. 117-137.
Springer DOI Link
0509
BibRef
Shirabe, T.[Takeshi],
Classification of Spatial Properties for Spatial Allocation Modeling,
GeoInfo(9), No. 3, September 2005, pp. 269-287.
Springer DOI Link
0509
BibRef
Bloch, I.,
Colliot, O.,
Cesar, Jr., R.M.,
On the Ternary Spatial Relation 'Between',
SMC-B(36), No. 2, April 2006, pp. 312-327.
IEEE DOI Link
0604
BibRef
Yan, H.[Haowen],
Chu, Y.D.[Yan-Dong],
Li, Z.L.[Zhi-Lin],
Guo, R.Z.[Ren-Zhong],
A Quantitative Description Model for Direction Relations Based on
Direction Groups,
GeoInfo(9), No. 2, June 2006, pp. 177-196.
Springer DOI Link
0605
BibRef
Skiadopoulos, S.[Spiros],
Koubarakis, M.[Manolis],
On the consistency of cardinal direction constraints,
AI(163), No. 1, March 2005, pp. 91-135.
Elsevier DOI Link
0605
BibRef
Laub, J.[Julian],
Roth, V.[Volker],
Buhmann, J.M.[Joachim M.],
Müller, K.R.[Klaus-Robert],
On the information and representation of non-Euclidean pairwise data,
PR(39), No. 10, October 2006, pp. 1815-1826.
WWW Version.
0606
Non-Euclidean pairwise data; Embedding; Visualization; Multidimensional scaling
As opposed to vector representations.
BibRef
Pham, T.V.[Thang V.],
Smeulders, A.W.M.[Arnold W.M.],
Learning spatial relations in object recognition,
PRL(27), No. 14, 15 October 2006, pp. 1673-1684.
WWW Version.
0609
Articulated object; Bayesian network; Deformable model;
Part-based approach; Shape; Spatial relation
Deformable relations and pairwise pixel relations.
BibRef
Liu, Y.[Yu],
Guo, Q.H.[Qing-Hua],
Kelly, M.[Maggi],
A framework of region-based spatial relations for non-overlapping
features and its application in object based image analysis,
PandRS(63), No. 4, July 2008, pp. 461-475.
WWW Version.
0804
Region-based spatial relations; Single-valued space; Object based
image analysis
BibRef
Du, S.H.[Shi-Hong],
Guo, L.[Luo],
Wang, Q.[Qiao],
Qin, Q.M.[Qi-Min],
Efficiently computing and deriving topological relation matrices
between complex regions with broad boundaries,
PandRS(63), No. 6, November 2008, pp. 593-609.
WWW Version.
0811
Geographical information system; Complex regions with broad
boundaries; Topological relations; Reasoning about topological
relations
BibRef
Schockaert, S.[Steven],
de Cock, M.[Martine],
Kerre, E.E.[Etienne E.],
Spatial reasoning in a fuzzy region connection calculus,
AI(173), No. 2, February 2009, pp. 258-298.
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WWW Version.
0804
Spatial reasoning; Region connection calculus; Fuzzy set theory
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Deruyver, A.[Aline],
Hodé, Y.[Yann],
Qualitative spatial relationships for image interpretation by using a
conceptual graph,
IVC(27), No. 7, 4 June 2009, pp. 876-886.
Elsevier DOI Link
WWW Version.
0904
BibRef
Earlier: A2, A1:
Qualitative Spatial Relationships for Image Interpretation by Using
Semantic Graph,
GbRPR07(240-250).
Springer DOI Link
0706
Image interpretation; Spatial relationships; Conceptual graph;
Arc-consistency analysis
BibRef
Deruyver, A.[Aline],
Hodé, Y.[Yann],
Arc-Consistency Checking with Bilevel Constraints: An Optimization,
GbRPR09(174-183).
Springer DOI Link
0905
BibRef
Deruyver, A.,
Hode, Y.,
Semantic graph and arc consistency in 'true' three dimensional image
labelling,
ICIP95(II: 619-622).
IEEE DOI Link
9510
BibRef
Deruyver, A.[Aline],
Hode, Y.[Yann],
Brun, L.[Luc],
Image interpretation with a conceptual graph:
Labeling over-segmented images and detection of unexpected objects,
AI(173), No. 14, September 2009, pp. 1245-1265.
Elsevier DOI Link
WWW Version.
0910
Image interpretation; Conceptual graph; Arc-consistency analysis
BibRef
Bejaoui, L.[Lotfi],
Pinet, F.[François],
Schneider, M.[Michel],
Bédard, Y.[Yvan],
OCL for formal modelling of topological constraints involving regions
with broad boundaries,
GeoInfo(14), No. 3, July 2010, pp. xx-yy.
Springer DOI Link
1003
BibRef
Takemura, C.M.[Celina Maki],
Cesar, Jr., R.M.[Roberto M.],
Bloch, I.[Isabelle],
Modeling and measuring the spatial relation 'along':
Regions, contours and fuzzy sets,
PR(45), No. 2, February 2012, pp. 757-766.
Elsevier DOI Link
WWW Version.
1110
Spatial relations; Spatial reasoning; Structural pattern recognition
BibRef
Liu, W.M.[Wei-Ming],
Li, S.J.[San-Jiang],
Reasoning about cardinal directions between extended objects:
The NP-hardness result,
AI(175), No. 18, December 2011, pp. 2155-2169.
Elsevier DOI Link
WWW Version.
1112
Qualitative spatial reasoning; Cardinal direction calculus;
NP-hardness; Consistency checking; Reduction
BibRef
Uijlings, J.R.R.,
Smeulders, A.W.M.,
Scha, R.J.H.,
The Visual Extent of an Object:
Suppose We Know the Object Locations,
IJCV(96), No. 1, January 2012, pp. 46-63.
WWW Version.
1201
BibRef
Earlier:
What is the spatial extent of an object?,
CVPR09(770-777).
IEEE DOI Link
0906
Depends on the recognition method. Region, whole image.
Rigid object primarly recognized by shape, non-rigid by texture. With
unknown location, the surrounding context is less significant.
BibRef
Frank, A.U.[Andrew U.],
Multi-cultural Aspects of Spatial Knowledge,
GS09(1-8).
Springer DOI Link
0912
Cultural differences for GIS system implementations.
BibRef
Cheong, H.Y.[Hye-Yeon],
Ortega, A.[Antonio],
Quantization based nearest-neighbor-preserving metric approximation,
ICIP09(1589-1592).
IEEE DOI Link
0911
BibRef
O'Regan, D.[Deirdre],
Kokaram, A.[Anil],
Implicit spatial inference with sparse local features,
ICIP08(2388-2391).
IEEE DOI Link
0810
BibRef
Mallenby, D.[David],
Bennett, B.[Brandon],
Applying Spatial Reasoning to Topographical Data with a Grounded
Geographical Ontology,
GS07(210-227).
Springer DOI Link
0711
BibRef
Gill, D.[Daniel],
Ninio, Y.[Yaniv],
Learning Shape Metric: From Alignment to Recognition,
Faces08(xx-yy).
0810
BibRef
Gill, D.[Daniel],
Ritov, Y.[Ya'acov],
Dror, G.[Gideon],
Is Pinocchio's Nose Long or His Head Small? Learning Shape Distances
for Classification,
ISVC07(I: 652-661).
Springer DOI Link
0711
BibRef
Cinbis, R.G.[R. Gokberk],
Aksoy, S.[Selim],
Relative Position-Based Spatial Relationships using Mathematical
Morphology,
ICIP07(II: 97-100).
IEEE DOI Link
0709
BibRef
Kong, H.J.[Hyun-Jang],
Cho, M.Y.[Mi-Young],
Jung, K.H.[Kwan-Ho],
Baek, S.K.[Sun-Kyoung],
Kim, P.K.[Pan-Koo],
Semantic Image Analysis Based on the Representation of the Spatial
Relations Between Objects in Images,
ICIAR04(I: 471-478).
WWW Version.
0409
BibRef
Gapp, K.P.,
Basic Meanings of Spatial Relations:
Computation and Evaluation in 3D Space,
AAAI-94(1393-1398).
General description of use of relations.
BibRef
9400
Beringer, A.,
Holldobler, S.,
Kurfess, F.,
Spatial Reasoning And Connectionist Inference,
IJCAI93(XX-YY).
BibRef
9300
Lanser, S.,
Zierl, C.,
On the Use of Topological Constraints Within Object Recognition Tasks,
ICPR96(I: 580-584).
IEEE DOI Link
9608
(Technical Univ. of Munich, D)
BibRef
Chen, S.Y.,
Lin, W.C.,
Chen, C.T.,
Spatial reasoning based on multivariate belief functions,
CVPR92(624-626).
IEEE Abstract.
0403
Blackboard architecture for MRI recognition.
BibRef
Arbab, B.,
Mask: An Object Identification Algorithm,
SRMSF87(107-117).
BibRef
8700
Backstrom, C.,
Static and Dynamic Logical Modelling of Mechanical Assembly Processes
in a Simplified Geometrical Environment,
SRMSF87(52-61).
BibRef
8700
Antony, D.,
Spatial Reasoning Using an Object-Oriented Spatial DBMS,
SRMSF87(42-51).
BibRef
8700
Rodger, J.C.,
Browse, R.A.,
An Object-Based Representation for Multisensory Robotic Perception,
SRMSF87(13-20).
BibRef
8700
Browse, R.A.,
Rodrigues, M.G.,
Propagation of Interpretations Based on Graded Resolution Input,
ICCV87(405-410).
BibRef
8700
Nirenburg, S.,
Raskin, V.,
Dealing with Space in Natural Language Processing,
SRMSF87(361-370).
BibRef
8700
Weymouth, T.E.,
Incremental Inference:
Spatial Reasoning within a Blackboard Architecture,
SRMSF87(34-41).
BibRef
8700
Nishida, T.,
Yamada, A.,
Doshita, S.,
Figuring out Most Plausible Interpretation from Spatial Constraints,
SRMSF87(158-167).
BibRef
8700
Tou, J.T.,
Automatic recognition of 3-D objects via geographic encoding,
ICPR88(II: 866-868).
IEEE DOI Link
8811
BibRef
Tou, J.T.,
Huang, C.L.,
Recognition of 3-D Objects Via Spatial Understanding of 2-D Images,
CAIA85(641-646).
BibRef
8500
Davis, E.,
The MERCATOR Representation of Spatial Knowledge,
IJCAI83(295-301).
BibRef
8300
Malik, J.,
Binford, T.O.,
Reasoning in Time and Space,
IJCAI83(343-345).
BibRef
8300
Corner, D.F.,
Ambler, A.P.,
Popplestone, R.J.,
Reasoning about the Spatial Relationships Derived from a RAPT
Program for Describing Assembly by Robot,
IJCAI83(842-844).
BibRef
8300
Hwang, V.S.S.,
Matsuyama, T.,
Davis, L.S.,
Rosenfeld, A.,
Evidence Accumulation for Spatial Reasoning in
Aerial Image Understanding,
ICPR84(394-397).
BibRef
8400
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Knowledge-Based Vision .