Uhr, L.[Leonard], and
Vossler, C.[Charles],
A Pattern-Recognition Program that Generates, Evaluates, and
Adjusts Its Own Operators,
CandT(251-268), 1963.
BibRef
6300
Earlier:
WJCC(19), 1961, pp. 555-570.
Recognition using a series of operators (patterns, binary masks).
BibRef
Sauvain, R.W.,
Uhr, L.,
A teachable pattern describing and recognizing program,
PR(1), No. 3, March 1969, pp. 219-232.
WWW Version.
0309
BibRef
Uhr, L.,
Layered Recognition Cone Networks That
Preprocess Classify and Describe,
TC(21), No. 7, July 1972, pp. 758-768.
Pyramids.
Multiple Resolutions. Early precursor to the UMass work.
BibRef
7207
Uhr, L.[Leonard], and
Douglass, R.[Robert],
A Parallel-Serial Recognition Cone System for Perception:
Some Test Results,
PR(11), No. 1, 1979, pp. 29-39.
WWW Version.
BibRef
7900
Earlier:
'Recognition Cones,' and Some Test Results; The Imminent
Arrival of Well-Structured Parallel-Serial computers; Positions, and Positions
on Positions,
CVS78(363-377).
BibRef
Earlier:
A 'Recognition Cone' Perceptual System: Brief Test Results,
IJCAI77(597).
BibRef
Uhr, L.,
'Recognition Cones' That Perceive and Describe Scenes that Move and Change
Over Time,
ICPR76(287-293).
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7600
Uhr, L.[Leonard],
Flexible linguistic pattern recognition,
PR(3), No. 4, November 1971, pp. 363-383.
WWW Version.
0309
BibRef
Hayes-Roth, F.[Frederick],
Schematic classification problems and their solution,
PR(6), No. 2, October 1974, pp. 105-113.
WWW Version.
0309
BibRef
Hayes-Roth, F.[Frederick],
Representation of structured events and efficient procedures for their
recognition,
PR(8), No. 3, July 1976, pp. 141-150.
WWW Version.
0309
BibRef
Briot, M.,
Renaud, M.,
Stojiljkovic, Z.,
An Approach to Spatial Pattern Recognition of Solid Objects,
SMC(8), 1978, pp. 690-694.
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Kovalevsky, V.A.,
Local versus Global Decisions in Image Recognition,
PIEEE(67), 1979, pp. 745-752.
BibRef
7900
Tenenbaum, J.M.,
Fischler, M.A.,
Barrow, H.G.,
Scene Modeling: A Structural Basis for Image Description,
CGIP(12), 1980, pp. 407-425.
BibRef
8000
Barrow, H.G., and
Tenenbaum, J.M.,
MSYS: A System for Reasoning about Scenes,
SRI AICenterTN 108, 1975.
BibRef
7500
And:
SRI AIMemo121, April 1976.
Knowledge-Based Vision.
System: MSYS.
The MSYS Report. Use inexact reasoning on uncertain
data to interpret regions extracted from an image. MSYS is an
asynchronous relaxation process that applies the rules imposed by the
modeluntil the labels are consistent. Constraints such as surface
height and orientation can bu used. Relations between objects in the
scene (hence regions in the image) can be used.. An M* (modified A*)
search is used.
For application in IGS:
See also Experiments in Interpretation Guided Segmentation.
BibRef
Kunii, T.L.,
Weyl, S.,
Tenenbaum, J.M.,
A Relational Data Base Schema for Describing Complex Pictures with
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ICPR74(310-316).
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Tenenbaum, J.M.,
Weyl, S.,
A Region-Analysis System for Interactive Scene Analysis,
IJCAI75(682-687).
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Tenenbaum, J.M.,
On Locating Objects by Their Distinguishing Features in
Multisensory Images,
CGIP(2), No. 3, December 1973, pp. 308-320.
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7312
And:
SRI-TN-84, 1973.
Early version of old SRI work. A good reference for basic
techniques for description based extraction.
BibRef
Tenenbaum, J.M.,
Object Recognition in Multi-Sensory Scene Analysis,
SRI AIMemo84, September 1973.
Acquisition and validation. Turned into MSYS and related work.
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Nitzan, D.,
Object Recognition in Multisensory Scene Analysis,
SRI AIMemo83, November 1973.
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Garvey, T.D.,
Perceptual Strategies for Purposive Vision,
SRITechnical Note 117, September 1976.
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Garvey, T.D., and
Tenenbaum, J.M.,
On the Automatic Generation of Programs for Locating Objects in
Office Scenes,
ICPR74(162-168).
Another of the early papers.
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7400
toe Water, F.T.B.[Frits T. Beukema],
Duin, R.P.W.[Robert P. W.],
Dealing with a priori knowledge by fuzzy labels,
PR(14), No. 1-6, 1981, pp. 111-115.
WWW Version.
0309
BibRef
Tsotsos, J.K.[John K.],
Knowledge and the Visual Process: Content, Form and Use,
PR(17), No. 1, 1984, pp. 13-27.
WWW Version.
BibRef
8400
And: (Knowledge of...)
ICPR82(654-669).
BibRef
van Cleynenbruegel, J.,
Fierens, F.,
Suetens, P.,
Oosterlinck, A.,
Knowledge-Based Improvement of Automatic Image Interpretation for
Restricted Scenes: Two Case Studies,
IVC(6), No. 4, November 1988, pp. 238-246.
WWW Version.
BibRef
8811
Chen, S.,
An Intelligent Computer Vision System,
IJIS(1), 1986, pp. 15-28.
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8600
Andress, K.M., and
Kak, A.C.,
Evidence Accumulation and Flow of Control in a
Hierarchial Spatial Reasoning System,
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8800
And:
ASR-I90(Ch. 4).
BibRef
And:
A Production System Environment for Integrating Knowledge with
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SPMSF87(1-12).
Blackboard.
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Woods, P.W.,
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WWW Version.
BibRef
8905
Trivedi, M.M.,
Abidi, M.A.,
Eason, R., and
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Developing Robotic Systems with Multiple Sensors,
SMC(20), No. 6, November/December, 1990, pp. 1285-1300.
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Earlier:
Object Recognition and Pose Determination in
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SMC-C89(xx-yy).
Pose Estimation.
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Hopkins, S.,
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Wallace, A.M.,
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WWW Version.
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8908
Rosin, P.L.,
Ellis, T.J.,
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IVC(9), No. 6, December 1991, pp. 353-361.
WWW Version.
BibRef
9112
Ellis, T.J.,
Rosin, P.L., and
Golton, P.,
Model-Based Vision for Automatic Alarm Detection,
AeroSysMag(6), 1990, pp. 14-20.
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Lee, C.M.,
Pong, T.C.,
Slagle, J.R.,
A Knowledge-Based System for the Image Correspondence Problem,
PRAI(4), 1990, pp. 45-55.
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Meisels, A.,
Levels of Knowledge for Object Extraction,
MVA(4), 1991, pp. 183-192.
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Kakusho, K.,
Dan, S.,
Kitahashi, T., and
Abe, N.,
Computer Vision Based on a Hypothesization and Verification Scheme
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IJCV(9), No. 1, October 1992, pp. 13-30.
Relaxation.
Shape from Single Image. Recovery of shape from a monocular image.
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9210
Kakusho, K.,
Dan, S.,
Abe, N., and
Kitahashi, T.,
Shape Recovery and Error Correction Based on Hypothetical Constraints
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PRAI(8), 1994, pp. 577-593.
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Lederman, S.J.,
Klatzky, R.L.,
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Eklundh, J.O.,
Knowledge Based Image Analysis,
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WWW Version.
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Grenander, U.[Ulf],
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9702
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Multi-pass Feedback Control for Object Recognition,
VI96(49-56).
Postscript Version.
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BMVC96(Poster Session 1).
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Lesser, V.R.,
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Bourbakis, N.G.,
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Roli, F.,
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Dellepiane, S.G.,
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WWW Version.
IEEE Top Reference.
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Kuruppu, N.R.,
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9611
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Gamage, L.B.,
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IEEE Top Reference.
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Chan, S.W.K.,
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9611
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Kontoes, C.C.,
Rokos, D.,
The Integration of Spatial Context Information in an Experimental
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9611
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Moody, J.,
Flynn, P.J.,
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WWW Version.
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Earlier:
ICPR92(IV:107-110).
WWW Version.
9208
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Tönjes, R.,
Growe, S.,
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Liedtke, C.E.,
Knowledge-Based Interpretation of Remote Sensing Images
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Draper, B.A.[Bruce A.],
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0005
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Earlier:
CVS99(522 ff.).
HTML Version.
0209
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Draper, B.A.[Bruce A.],
Baek, K.[Kyungim],
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WWW Version.
0501
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Earlier:
CVS03(1 ff).
HTML Version.
0306
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Drummond, T.W.[Tom W.],
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WWW Version.
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Caelli, T.M., and
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SV(10), 1996, pp. 87-103.
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Caelli, T.M.[Terry M.], and
Bischof, W.F.[Walter F.],
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PlenumPress, 1997.
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Authors from School of Computing,
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Blake, R.E.[Richard E.],
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WWW Version.
0211
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Ogiela, M.R.[Marek R.],
Tadeusiewicz, R.[Ryszard],
Artificial intelligence structural imaging techniques in visual pattern
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PR(36No. 10, October 2003, pp. 2441-2452.
WWW Version.
0308 See also Graph image language techniques supporting radiological, hand image interpretations.
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Rosin, P.L.[Paul L.],
Rana, O.F.[Omer F.],
Special Issue Introduction: Agent-based computer vision,
PR(37), No. 4, April 2004, pp. 627-629.
WWW Version.
0403
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Ogale, A.S.[Abhijit S.],
Aloimonos, Y.[Yiannis],
A Roadmap to the Integration of Early Visual Modules,
IJCV(72), No. 1, April 2007, pp. 9-25.
WWW Version.
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Neumann, B.[Bernd],
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On scene interpretation with description logics,
IVC(26), No. 1, 1 January 2008, pp. 82-101.
WWW Version.
0711
BibRef
Earlier:
CogVis03(247-275).
WWW Version.
0310Scene interpretation; Description logics; High-level vision
BibRef
Schroeder, C.[Carsten],
Neumann, B.[Bernd],
On the Logics of Image Interpretation:
Model Construction in a Formal Knowledge-Representation Framework,
ICIP96(II: 785-788).
WWW Version.
BibRef
9600
Hogg, D.[David],
Neumann, B.[Berndt],
Knowledge Intensive Image Interpretation: Introduction,
ICIP96(18A2).
BibRef
9600
Ponce, J.[Jean],
Hebert, M.[Martial],
Schmid, C.[Cordelia], and
Zisserman, A.[Andrew], (Eds.)
Toward Category-Level Object Recognition,
CLOR06LCNS Volume 4170, 2006.
WWW Version. The papers selected and assembled from 2 workshops in 2003 and 2004.
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0600
Bosch, A.[Anna],
Zisserman, A.[Andrew],
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Scene Classification Using a Hybrid Generative/Discriminative Approach,
PAMI(30), No. 4, April 2008, pp. 712-727.
WWW Version.
0803
BibRef
Earlier:
Image Classification using Random Forests and Ferns,
ICCV07(1-8).
WWW Version.
0710
BibRef
Earlier:
Scene Classification Via pLSA,
ECCV06(IV: 517-530).
WWW Version.
0608
BibRef
Bosch, A.[Anna],
Muñoz, X.[Xavier],
Marti, J.,
Using Appearance and Context for Outdoor Scene Object Classification,
ICIP05(II: 1218-1221).
WWW Version.
0512
BibRef
Bosch, A.[Anna],
Munoz, X.[Xavier],
Oliver, A.[Arnau],
Marti, R.[Robert],
Object and Scene Classification:
What does a Supervised Approach Provide us?,
ICPR06(I: 773-777).
WWW Version.
0609
BibRef
Kumar, S.,
Ramos, F.,
Douillard, B.,
Ridley, M.,
Durrant-Whyte, H.F.,
A Novel Visual Perception Framework,
ICARCV06(1-6).
WWW Version.
0612
BibRef
Sako, H.[Hiroshi],
Recognition Strategies in Machine Vision Applications,
IMVIP07(3-3).
WWW Version.
0709
BibRef
Tsotsos, J.K.[John K.],
Rodriguez-Sanchez, A.J.[Antonio Jose],
Rothenstein, A.L.[Albert L.],
Simine, E.[Eugene],
Different Binding Strategies for the Different Stages of Visual
Recognition,
BVAI07(150-160).
WWW Version.
0710
BibRef
Dhua, A.S.[Arnab S.],
Cutzu, F.[Florin],
Hierarchical, Generic to Specific Multi-class Object Recognition,
ICPR06(I: 783-788).
WWW Version.
0609Generic and specific class recognition.
BibRef
Zehnder, P.[Philipp],
Koller-Meier, E.[Esther],
Van Gool, L.J.[Luc J.],
Efficient, Simultaneous Detection of Multiple Object Classes,
ICPR06(I: 797-802).
WWW Version.
0609Decision (ternary) approach for multiple object classes.
BibRef
Kittler, J.V.,
Christmas, W.J.,
Kostin, A.,
Yan, F.,
Kolonias, I.,
Windridge, D.,
A Memory Architecture and Contextual Reasoning Framework for Cognitive
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SCIA05(343-358).
WWW Version.
0506
BibRef
Bowden, R.,
Ellis, L.,
Kittler, J.V.,
Shevchenko, M.,
Windridge, D.,
Unsupervised Symbol Grounding and Cognitive Bootstrapping in Cognitive
Vision,
CIAP05(27-36).
WWW Version.
0509
BibRef
Nagel, H.H.,
Cognitive Vision Systems: From Ideas to Specifications,
CogVis03(57-69).
WWW Version.
0310
BibRef
Nagel, H.H.,
On Sampling the Spectrum of Approaches Toward Cognitive Vision Systems,
CogVis03(315-319).
WWW Version.
0310
BibRef
van Kaick, O.M.,
Mori, G.,
Automatic Classification of Outdoor Images by Region Matching,
CRV06(9-9).
WWW Version.
0607Use segmented regions.
BibRef
Delage, E.,
Lee, H.[Honglak],
Ng, A.Y,
A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from
a Single Indoor Image,
CVPR06(II: 2418-2428).
WWW Version. Maybe also:
WWW Version.
0606Knowledge allows us to resolve ambiguities in 3D.
BibRef
Georis, B.[Benoit],
Maziere, M.[Magale],
Bromond, F.[Francois],
Evaluation and Knowledge Representation Formalisms to Improve Video
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CVS06(27).
WWW Version.
0602
BibRef
Nelson, R.C.[Randal C.],
Generating Verbal Descriptions of Colored Objects:
Towards Grounding Language in Perception,
WACV05(I: 46-53).
WWW Version.
0502
BibRef
Li, M.H.[Mu-Hua],
Clark, J.J.,
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Objects,
AttenPerf05(III: 93-93).
WWW Version.
0507
BibRef
Ehtiati, T.,
Clark, J.J.,
A strongly coupled architecture for contextual object and scene
identification,
ICPR04(III: 69-72).
WWW Version.
0409
BibRef
He, X.[Xuming],
Zemel, R.S.,
Carreira-Perpinan, M.A.,
Multiscale conditional random fields for image labeling,
CVPR04(II: 695-702).
IEEE Abstract. IEEE Top Reference.
0408Context for assigning labels.
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Wunstel, M.,
Moratz, R.,
Automatic object recognition within an office environment,
CRV04(104-109).
IEEE Abstract. IEEE Top Reference.
0408
BibRef
Neumann, B.[Bernd],
Weiss, T.[Thomas],
Navigating through Logic-Based Scene Models for High-Level Scene
Interpretations,
CVS03(212 ff).
HTML Version.
0306
BibRef
Boukraa, M.,
Ando, S.,
Tag-based vision: assisting 3D scene analysis with radio-frequency tags,
ICIP02(I: 269-272).
IEEE Abstract. IEEE Top Reference.
0210
BibRef
Sadr, J.[Javid],
Sinha, P.[Pawan],
Exploring Object Perception with Random Image Structure Evolution,
MIT AI Memo-2001-006, March 2001.
WWW Version.
0105
BibRef
Büker, U.,
Cooperative Agents for Object Recognition,
ICPR00(Vol IV: 157-160).
WWW Version.
HTML Version.
0009High level recognition.
BibRef
Weber, M.,
Welling, M.,
Perona, P.,
Unsupervised Learning of Models for Recognition,
ECCV00(I: 18-32).
WWW Version.
0003
BibRef
Weber, M.,
Welling, M.,
Perona, P.,
Towards Automatic Discovery of Object Categories,
CVPR00(II: 101-108).
IEEE Abstract. IEEE Top Reference.
WWW Version.
0005
BibRef
Vu, A.S.,
A computer vision system for automatic knowledge-based configuration of
the image processing and hierarchical object recognition,
CIAP99(636-641).
WWW Version.
9909
BibRef
MacGregor, R.M.[Robert M.], and
Russ, T.A.[Thomas A.], and
Price, K.E.[Keith E.],
Knowledge Representation for Computer Vision: The VEIL Project,
ARPA94(II:919-927).
BibRef
9400
USC Computer Vision
BibRef
Russ, T.A.,
MacGregor, R.M.,
Salemi, B.,
Price, K.E.,
Nevatia, R.,
VEIL: Combining Semantic Knowledge with Image Understanding,
Radius97(409-418).
BibRef
9700
USC Computer Vision
BibRef
And:
ARPA96(373-380).
BibRef
Matas, J.[Jiri],
Young, R.,
Kittler, J.V.[Josef V.],
Hypothesis Selection for Scene Interpretation Using
Grammatical Models of Scene Evolution,
ICPR98(Vol II: 1718-1720).
WWW Version.
9808
BibRef
Oshitani, T.[Tohru],
Watanabe, T.[Toyohide],
Parallel Map Recognition Based on
Multilayer Partitioned Blackboard Model,
ICPR98(Vol II: 1604-1606).
WWW Version.
9808
BibRef
Li, D.,
Munck-Fairwood, R.C.,
A Formal Definition and Framework for Generic Object Recognition,
SCIA93(81-88).
BibRef
9300
Burger, W.,
Burge, M.,
Mayr, W.,
Learning to recognize generic visual categories using a hybrid
structural approach,
ICIP96(II: 321-324).
WWW Version.
9610
BibRef
Lai, G.C.,
de Figueiredo, R.J.P.,
Image interpretation using contextual feedback,
ICIP95(II: 623-626).
WWW Version.
9510
BibRef
Shvaytser, H.,
Towards A Computational Theory Of Model Based Vision And Perception,
ICCV90(283-286).
WWW Version.
BibRef
9000
Smyrniotis, C.[Chuck], and
Dutta, K.[Kalyan],
A Knowledge-Based System for Recognizing Man-Made Objects in
Aerial Images,
CVPR88(111-117).
IEEE Abstract. IEEE Top Reference.
Recognize Aerial Images. Preliminary report on Knowledge-Based system to deal with airports.
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8800
Hutchinson, S.A.,
Cromwell, R.L., and
Kak, A.C.,
Applying Uncertainty Reasoning to Model Based Object Recognition,
CVPR89(541-548).
IEEE Abstract. IEEE Top Reference. System level design.
BibRef
8900
Cromwell, R.L., and
Kak, A.C.,
Automatic Generation of Object Class Descriptions
Using Symbolic Learning Techniques,
AAAI-91(710-717).
BibRef
9100
Numao, M.,
Ishizuka, M.,
A Frame-Like Knowledge Representation System for Computer Vision,
ICPR84(1128-1130).
BibRef
8400
Shirai, Y.,
Recent Advance in 3-D Scene Analysis,
ICPR78(86-94).
Line labeling, structured light, generalized cones, etc.
BibRef
7800
Ballard, D.H.[Dana H.],
Brown, C.M., and
Feldman, J.A.,
An Approach to Knowledge-Directed Scene Analysis,
CVS78(271-281).
BibRef
7800
Earlier:
IJCAI77(664-670).
Hallucinate a rib.
BibRef
Bajcsy, R.,
Joshi, A.K.,
A Partially Ordered World Model and Natural Outdoor Scenes,
CVS78(263-270).
BibRef
7800
Levine, M.D.,
A Knowledge-Based Computer Vision System,
CVS78(335-352).
BibRef
7800
Segen, J.[Jakub],
Model Learning and Recognition of Nonrigid Objects,
CVPR89(597-602).
IEEE Abstract. IEEE Top Reference.
BibRef
8900
Earlier:
Learning Structural Descriptions of Shape,
MVAAS88(XX-YY).
BibRef
And:
CVPR85(96-99).
(AT&T Bell Labs) Learning. Classify and label the parts of
non-rigid objects with some occlusions.
BibRef
Segen, J.[Jakub],
Learning Shape Models for a Vision Based Human-Computer Interface,
AAAI-MLCV93(xx).
A.T.T. Bell Laboratories.
BibRef
9300
Bronskill, J.F.,
Hepburn, J.S.A., and
Au, W.K.,
A Knowledge-Based Approach to the Detection, Tracking and
Classification of Target Formations in Infrared Image Sequences,
CVPR89(153-158).
IEEE Abstract. IEEE Top Reference. Find point targets and group into clusters to identify.
BibRef
8900
Liedtke, C.E.,
Blomer, A.,
Architecture of the Knowledge Based Configuration System for
Image Analysis 'Conny',
ICPR92(I:375-378).
WWW Version.
BibRef
9200
van der Putten, F.,
Zerubia, J.,
A Universal Knowledge-Based Imaging System for Hazardous Environments,
ICPR92(I:211-214).
WWW Version.
BibRef
9200
Boyer, K.L.,
Safranek, R.J.,
Kak, A.C.,
A Knowledge Based Robotic Vision System,
CAIA84(45-50).
BibRef
8400
Matsuyama, T.,
Knowledge Organization and Control Structure in Image Understanding,
ICPR84(1118-1127).
BibRef
8400
Tanimoto, S.L.,
Paradigms for Control of Vision Using Inference in Networks,
CVWS82(3-13).
BibRef
8200
Ogawa, H.,
Kurioka, S.,
Kitahashi, T.,
Tanaka, K.,
An Application of Knowledge Base for Image Analysis,
ICPR80(340-342).
BibRef
8000
Dunlavey, M.R.,
An Hypothesis-Driven Vision System,
IJCAI75(616-619).
BibRef
7500
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Knowledge-Based Vision, Surveys, Overviews .