Poggio, T.A.,
Gamble, E.B., and
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Parallel Integration of Vision Modules,
Science(242), October 21, 1988, pp. 436-439.
Data Fusion.
Connection Machine. This is the new MIT vision system with multiple processes (motion,
stereo, color, texture, edges).
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Visual Algorithms,
MIT AI Memo-683, May 1982.
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Poggio, T.A.,
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CVGIP(56), No. 1, July 1992, pp. 22-30.
WWW Version.
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Fast Perceptual Learning in Visual Hyperacuity,
Science(256), 15 May 1992, pp. 1018-1021.
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MIT AI Memo-1336, December 1991.
WWW Version.
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Fahle, M.[Manfred],
Edelman, S.[Shimon],
Synthesis of Visual Modules from Examples: Learning Hyperacuity,
MIT AI Memo-1271, January 1991.
WWW Version.
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NeurComp(5), 1993, pp. 695-718.
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Edelman, S.[Shimon],
Representation of Similarity as a Goal of Early Visual Processing,
WeizmannCS-TR 93-09, 1995.
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Edelman, S.,
Poggio, T.,
Bringing the Grandmother Back into the Picture:
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PRAI(6), 1992, pp. 37-61.
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And:
MIT AI Memo-1181, April 1990.
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JOSA-A(6), 1989, pp. 908-919.
Early Vision.
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Integration of Visual Modules: An Extension of the Marr Paradigm,
San Diego:
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Survey, Computational Vision.
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DARPA89(507-551). A Chapter in the above book. The goal
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Basu, A.,
Combining Information In Low-Level Vision,
DARPA88(862-906).
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Poggio, T.[Tomaso],
Visual Integration and Detection of Discontinuities:
The Key Role of Intensity Edges,
MIT AI Memo-970, October 1987.
WWW Version.
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8710
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Geiger, D.,
Poggio, T.A., and
Weinshall, D.,
Integration of Vision Modules and Labeling of Surface Discontinuities,
SMC(19), No. 6, November/December 1989, pp. 1576-1581.
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Jepson, A.D., and
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A Lattice Framework for Integrating Vision Modules,
SMC(22), 1992, pp. 1087-1096.
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9200
Clement, V., and
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A Knowledge-Based Approach to Integration of
Image Processing Procedures,
CVGIP(57), No. 2, March 1993, pp. 166-184.
WWW Version. OCAPI system.
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Thonnat, M.,
Clement, V.,
van den Elst, J.,
Supervision of Perception Tasks for Autonomous Systems:
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JIST(3), No. 2, January 1994, pp. 140-163.
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INRIA2000, June 1993.
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Maillot, N.E.[Nicolas Eric],
Thonnat, M.[Monique],
Boucher, A.[Alain],
Towards Ontology Based Cognitive Vision,
MVA(16), No. 1, December 2004, pp. 33-40.
Springer DOI Link
0501
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CVS03(44 ff).
0306
BibRef
Maillot, N.E.[Nicolas Eric],
Thonnat, M.[Monique],
Ontology based complex object recognition,
IVC(26), No. 1, 1 January 2008, pp. 102-113.
WWW Version.
0711
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Thonnat, M.[Monique],
A Weakly Supervised Approach for Semantic Image Indexing and Retrieval,
CIVR05(629-638).
Springer DOI Link
0507
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Bozma, H.I., and
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A Game-Theoretic Approach to Integration of Modules,
PAMI(16), No. 11, November 1994, pp. 1074-1086.
IEEE Abstract. IEEE Top Reference.
WWW Version.
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9411
Earlier:
Integration of Vision Modules: A Game-Theoretic Framework,
CVPR91(501-507).
IEEE Abstract. IEEE Top Reference.
Fusion, Modules. Combine modules doing part of the task.
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IVC(10), No. 6, July-August 1992, pp. 431-443.
WWW Version.
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PAMI(14), No. 2, February 1992, pp. 146-156.
IEEE Abstract. IEEE Top Reference.
WWW Version.
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Earlier:
SRITechnical Note 459. February, 1992.
WWW Version.
BibRef
And:
Representation Space: An Approach to the
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CVPR89(492-499).
IEEE Abstract. IEEE Top Reference.
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And:
DARPA89(263-272).
Discussion of different representations
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PRAI(7), No. 6, December 1993.
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Integration and Control of Reactive Visual Processes,
RobAS(15), No. 1, December 1995.
BibRef
9512
Earlier:
Add A2, A3, A4:
Bedrune, J.M.,
Bekker, M.,
Schneider, M.,
ECCV94(B:47-58).
Springer DOI Link
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Drake, K.C.,
Kim, R.Y.,
Hierarchical Integration of Sensor Data and Contextual Information
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AppIntel(5), No. 3, July 1995, pp. 269-290.
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Pankanti, S.,
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IEEE Abstract. IEEE Top Reference.
WWW Version.
Stereo.
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Tuceryan, M.,
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IEEE Abstract. IEEE Top Reference.
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MSUTR-CS, June 1994.
Stereo analysis with surface normals and line labels.
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WWW Version.
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VISIPLAN: A Hierarchical Planning Framework for Composing
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CVPR94(718-723).
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HTML Version.
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WWW Version.
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9612
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WWW Version.
9607
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Distributed belief revision for adaptive image processing regulation,
ECCV92(87-91).
Springer DOI Link
9205
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A Real-Time Model-Based Method for 3-D Object Orientation Estimation
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9709
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WWW Version. User describes task, generate the plan. Chains of image processing
programs.
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Ortiz, M.J.,
Formaggio, A.R.,
Epiphanio, J.C.N.,
Classification of Croplands Through Integration of
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HTML Version.
0202
Combine the results from multiple agents for recognition.
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Human-vision-based selection of image processing algorithms for
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SCIA05(214-223).
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Sethi, A.,
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Variable Module Graphs:
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ICIP05(II: 1326-1329).
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0501
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SCIA03(1006-1013).
WWW Version.
0310
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Müller, H.[Hardo],
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Mayr, W.[Werner],
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PCV02(B: 186).
0305
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Experience in Integrating Image Processing Programs,
CVS99(200 ff.).
HTML Version.
0209
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CAIP97(637-644).
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9709
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Hamada, T.,
Shimizu, A.,
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Goal-Directed Control of Low Level Processes for Image Interpretation,
DARPA87(538-551).
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And:
COINS-TR-87-31, April 1987.
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Ozaki, Y.,
Sato, K.,
Inokuchi, S.,
Rule-Driven Processing And Recognition From Range Images,
ICPR88(II: 804-807).
IEEE DOI Link
8811
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Yamamoto, K.,
Sakaue, K.,
Matsubara, H.,
Yamagishi, K.,
Miracle-IV: Multiple Image Recognition System Aiming
Concept Learning -- Intelligent Vision,
ICPR88(II: 818-821).
IEEE DOI Link
8811
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Glicksman, J.[Jay],
Using Multiple Information Sources in a Computational Vision System,
IJCAI83(1078-1080).
Does not really say much more than it is a good idea, no
implementation with real images.
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8300
Garvey, T.D.,
Lowrance, J., and
Fischler, M.A.,
An Inference Technique for Integrating Knowledge for Disparate Sources,
IJCAI81(319-325).
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8100
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Fischler, M.A.,
Perceptual Reasoning in a Hostile Environment,
AAAI-80(253-255).
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8000
Garvey, T.D., and
Fischler, M.A.,
The Integration of Multi-Sensor Data for Threat Assessment,
ICPR80(343-347).
BibRef
8000
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Context in Computer Vision .