Poggio, T.A.,
Gamble, E.B., and
Little, J.J.,
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).
BibRef
8810
Poggio, T.[Tomaso],
Visual Algorithms,
MIT AI Memo-683, May 1982.
BibRef
8205
Poggio, T.A.,
Edelman, S., and
Fahle, M.,
Learning of Visual Modules from Examples: A Framework for
Understanding Adaptive Visual Performance,
CVGIP(56), No. 1, July 1992, pp. 22-30.
WWW Version.
BibRef
9207
Poggio, T.[Tomaso],
Fahle, M.[Manfred],
Edelman, S.[Shimon],
Fast Perceptual Learning in Visual Hyperacuity,
Science(256), 15 May 1992, pp. 1018-1021.
BibRef
9205
And:
MIT AI Memo-1336, December 1991.
WWW Version.
BibRef
Poggio, T.[Tomaso],
Fahle, M.[Manfred],
Edelman, S.[Shimon],
Synthesis of Visual Modules from Examples: Learning Hyperacuity,
MIT AI Memo-1271, January 1991.
WWW Version.
BibRef
9101
Weiss, Y.[Yair],
Edelman, S.[Shimon], and
Fahle, M.[Manfred],
Models of Perceptual Learning in Vernier Hyperacuity,
NeurComp(5), 1993, pp. 695-718.
BibRef
9300
Weiss, Y.[Yair],
Edelman, S.[Shimon],
Representation of Similarity as a Goal of Early Visual Processing,
WeizmannCS-TR 93-09, 1995.
BibRef
9500
Edelman, S.,
Poggio, T.,
Bringing the Grandmother Back into the Picture:
A Memory-Based View of Pattern Recognition,
PRAI(6), 1992, pp. 37-61.
BibRef
9200
And:
MIT AI Memo-1181, April 1990.
BibRef
Aloimonos, Y., and
Shulman, D.,
Learning Early-Vision Computations,
JOSA-A(6), 1989, pp. 908-919.
Early Vision.
BibRef
8900
Aloimonos, Y., and
Shulman, D.,
Integration of Visual Modules: An Extension of the Marr Paradigm,
San Diego:
Academic Press1989.
Survey, Computational Vision.
Computational Vision, Survey. A Chapter as a paper (first author only):
BibRef
8900
Unification and Integration of Visual Modules:
An Extension of the Marr Paradigm,
DARPA89(507-551). A Chapter in the above book. The goal
is to provide a framework to discuss computational algorithms. Included are
discontinuous regularization, etc.
BibRef
Aloimonos, Y.,
Basu, A.,
Combining Information In Low-Level Vision,
DARPA88(862-906).
BibRef
8800
Gamble, E.B.[Ed B.],
Poggio, T.[Tomaso],
Visual Integration and Detection of Discontinuities:
The Key Role of Intensity Edges,
MIT AI Memo-970, October 1987.
WWW Version.
BibRef
8710
Gamble, E.B.,
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.
BibRef
8911
Jepson, A.D., and
Richards, W.A.,
A Lattice Framework for Integrating Vision Modules,
SMC(22), 1992, pp. 1087-1096.
BibRef
9200
Clement, V., and
Thonnat, M.,
A Knowledge-Based Approach to Integration of
Image Processing Procedures,
CVGIP(57), No. 2, March 1993, pp. 166-184.
WWW Version. OCAPI system.
BibRef
9303
Thonnat, M.,
Clement, V.,
van den Elst, J.,
Supervision of Perception Tasks for Autonomous Systems:
The OCAPI Approach,
JIST(3), No. 2, January 1994, pp. 140-163.
BibRef
9401
And:
INRIA2000, June 1993.
BibRef
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.
WWW Version.
0501
BibRef
Earlier:
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.
0711Keywords: Ontology; Machine learning; Categorization; Cognitive vision
BibRef
Bozma, H.I., and
Duncan, J.S.,
A Game-Theoretic Approach to Integration of Modules,
PAMI(16), No. 11, November 1994, pp. 1074-1086.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
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.
BibRef
Bozma, H.I.,
Duncan, J.S.,
Modular System for Image Analysis Using a Game-Theoretic Framework,
IVC(10), No. 6, July-August 1992, pp. 431-443.
WWW Version.
BibRef
9207
Bobick, A.F., and
Bolles, R.C.,
The Representation Space Paradigm of Concurrent Evolving
Object Descriptions,
PAMI(14), No. 2, February 1992, pp. 146-156.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9202
Earlier:
SRITechnical Note 459. February, 1992.
WWW Version.
BibRef
And:
Representation Space: An Approach to the
Integration of Visual Information,
CVPR89(492-499).
IEEE Abstract. IEEE Top Reference.
BibRef
And:
DARPA89(263-272).
Discussion of different representations
needed for a vision system from the initial 2-D blobs to the 3-D object.
BibRef
Crowley, J.L., and
Christensen, H.I.,
Integration of Visual Processes,
PRAI(7), No. 6, December 1993.
BibRef
9312
Crowley, J.L.,
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).
WWW Version.
BibRef
Drake, K.C.,
Kim, R.Y.,
Hierarchical Integration of Sensor Data and Contextual Information
for Automatic Target Recognition,
AppIntel(5), No. 3, July 1995, pp. 269-290.
BibRef
9507
Pankanti, S.,
Jain, A.K.,
Integrating Vision Modules:
Stereo, Shading, Grouping, and Line Labeling,
PAMI(17), No. 9, September 1995, pp. 831-842.
IEEE Abstract. IEEE Top Reference.
WWW Version.
Stereo.
Shape from Shading.
Perceptual Grouping.
Geons.
BibRef
9509
Pankanti, S.,
Jain, A.K.,
Tuceryan, M.,
On Integration of Vision Modules,
CVPR94(316-322).
IEEE Abstract. IEEE Top Reference.
BibRef
9400
And:
MSUTR-CS, June 1994.
Stereo analysis with surface normals and line labels.
BibRef
Gong, L.G.,
Kulikowski, C.A.,
Composition of Image-Analysis Processes Through Object-Centered
Hierarchical Planning,
PAMI(17), No. 10, October 1995, pp. 997-1009.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9510
Earlier:
VISIPLAN: A Hierarchical Planning Framework for Composing
Biomedical Image Analysis Processes,
CVPR94(718-723).
IEEE Abstract. IEEE Top Reference. Model the composition of processes. Used for medical image analysis.
BibRef
Indiveri, G.,
Raffo, L.,
Sabatini, S.P., and
Bisio, G.M.,
A Neuromorphic Architecture for Cortical Multilayer Integration of
Early Visual Tasks,
MVA(8), No. 5, 1995, pp. 305-314.
HTML Version.
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Tung, C.P.,
Kak, A.C.,
Integrating Sensing, Task Planning, and Execution for Robotic Assembly,
RA(12), No. 2, April 1996, pp. 187-201.
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Hwang, S.Y.[Shu-Yuen],
Tanimoto, S.L.[Steven L.],
Parallel Coordination of Image Operators:
Model, Algorithm, and Performance,
IVC(11), No. 3, April 1993, pp. 129-138.
WWW Version.
BibRef
9304
Ardizzone, E.,
Chella, A.,
Gaglio, S.,
Hybrid Architecture for Shape Reconstruction and Object Recognition,
IJIS(11), No. 12, December 1996, pp. 1115-1133.
9612
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Das, S.,
Bhanu, B.,
Ho, C.C.,
Generic Object Recognition Using Multiple Representations,
IVC(14), No. 5, June 1 1996, pp. 323-338.
WWW Version.
9607
BibRef
Murino, V.,
Foresti, G.L.,
Regazzoni, C.S.,
A Distributed Probabilistic System for Adaptive Regulation of
Image-Processing Parameters,
SMC-B(26), No. 1, February 1996, pp. 1-20.
IEEE Top Reference.
BibRef
9602
Murino, V.[Vittorio],
Peri, M.F.[Massimiliano F.],
Regazzoni, C.S.[Carlo S.],
Distributed belief revision for adaptive image processing regulation,
ECCV92(87-91).
WWW Version.
9205
BibRef
Foresti, G.L.,
Regazzoni, C.S.,
A Real-Time Model-Based Method for 3-D Object Orientation Estimation
in Outdoor Scenes,
SPLetters(4), No. 9, September 1997, pp. 248-251.
IEEE Top Reference.
9709
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Clouard, R.[Regis],
El Moataz, A.[Abderrahim],
Porquet, C.[Christine],
Revenu, M.[Marinette],
Borg: A Knowledge-Based System for Automatic Generation of Image
Processing Programs,
PAMI(21), No. 2, February 1999, pp. 128-144.
IEEE Abstract. IEEE Top Reference.
WWW Version. User describes task, generate the plan. Chains of image processing
programs.
BibRef
9902
Ortiz, M.J.,
Formaggio, A.R.,
Epiphanio, J.C.N.,
Classification of Croplands Through Integration of
Remote-Sensing, GIS, and Historical Database,
JRS(18), No. 1, January 10 1997, pp. 95-105.
9701
Remote Sensing.
BibRef
Takatsuka, M.[Masahiro],
Caelli, T.M.[Terry M.],
West, G.A.W.[Geoff A.W.],
Venkatesh, S.[Svetha],
An Application of 'Agent-Oriented' Techniques to Symbolic Matching and
Object Recognition,
PRL(23), No. 4, February 2002, pp. 419-429.
HTML Version.
0202Combine the results from multiple agents for recognition.
BibRef
Privitera, C.M.,
Stark, L.W.,
Human-vision-based selection of image processing algorithms for
planetary exploration,
IP(12), No. 8, August 2003, pp. 917-923.
WWW Version.
0308
BibRef
Sethi, A.,
Rahurkar, M.,
Huang, T.S.,
Variable Module Graphs:
A Framework For Inference and Learning in Modular Vision Systems,
ICIP05(II: 1326-1329).
WWW Version.
0512
BibRef
Broadhurst, A.E.,
Baker, S.,
Setting Low-Level Vision Parameters,
CMU-RI-TR-04-20, March, 2004.
HTML Version.
0501
BibRef
Koryabkina, I.[Irina],
Method for Image Informational Properties Exploitation in Pattern
Recognition Environment,
SCIA03(1006-1013).
WWW Version.
0310
BibRef
Müller, H.[Hardo],
Gülch, E.[Eberhard],
Mayr, W.[Werner],
A New Modelling Technique for Object-Oriented Photogrammetric Computer
Vision Algorithms,
PCV02(B: 186).
0305
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Thonnat, M.,
Moisan, S.,
Crubézy, M.,
Experience in Integrating Image Processing Programs,
CVS99(200 ff.).
HTML Version.
0209
BibRef
Nickolay, B.[Bertram],
Schneider, B.[Bernd],
Jacob, S.[Stefan],
Parameter optimisation of an image processing system using evolutionary
algorithms,
CAIP97(637-644).
WWW Version.
9709
BibRef
Hamada, T.,
Shimizu, A.,
Hasegawa, J.I.,
Toriwaki, J.I.,
Automated Construction of Image Processing Procedure Based on
Misclassification Condition,
ICPR00(Vol II: 430-433).
WWW Version.
HTML Version.
0009
BibRef
Kohl, C.,
Hanson, A.R., and
Riseman, E.M.,
Goal-Directed Control of Low Level Processes for Image Interpretation,
DARPA87(538-551).
BibRef
8700
And:
COINS-TR-87-31, April 1987.
BibRef
Ozaki, Y.,
Sato, K.,
Inokuchi, S.,
Rule-Driven Processing And Recognition From Range Images,
ICPR88(II: 804-807).
WWW Version.
8811
BibRef
Yamamoto, K.,
Sakaue, K.,
Matsubara, H.,
Yamagishi, K.,
Miracle-IV: Multiple Image Recognition System Aiming
Concept Learning -- Intelligent Vision,
ICPR88(II: 818-821).
WWW Version.
8811
BibRef
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.
BibRef
8300
Garvey, T.D.,
Lowrance, J., and
Fischler, M.A.,
An Inference Technique for Integrating Knowledge for Disparate Sources,
IJCAI81(319-325).
BibRef
8100
Garvey, T.D., and
Fischler, M.A.,
Perceptual Reasoning in a Hostile Environment,
AAAI-80(253-255).
BibRef
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 .