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Ph.D.Thesis, MIT, May 1963.
Early Vision System.
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This is the paper everyone should read. Early block analysis
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This system is the first three-dimensional vision system and contains
many of the operations in all later complete systems. It used models
of three-dimensional (polyhedral) objects and matches them to the
representations computed from the input data to find blocks in the
image. Complex shapes were composed of several blocks. Blocks are
described by their edges--a wire-frame model. Thus image edges are
extracted for the image by a simple 2X2 operator. The edges are
collected into lines based on adjacency, the small lines are
eliminated, and the long ones are extended to intersect at corners.
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the rotation and scaling parameters. Once an elementary object is
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Ph.D.Thesis.
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Rummel, P.,
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Rummel, P.,
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Model-Based Industrial Part Recognition: Systems and Algorithms,
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0307Recognition of complex-shaped objects in cluttered environments based
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Falelakis, M.,
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And:
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Earlier:
ECCV04(Vol I: 40-54).
WWW Version.
0405Find initial matches, then expand the region of matches.
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ECCV06(III: 14-28).
WWW Version.
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ACIVS06(1037-1046).
WWW Version.
0609Symbol grounding: i.e. assigning a symbolic name to the image features.
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CVPR06(II: 2145-2152).
WWW Version.
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ICCV03(1502-1509).
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ICIP04(IV: 2713-2716).
WWW Version.
0505Accumulate recognition results, the most over the sequence wins.
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ECCV04(Vol I: 55-68).
WWW Version.
0405Compute identity and position of objects in the scene by finding the
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Simard, P.Y.,
Ferrie, F.P.,
Image-Based Model Updating,
BMVC02(Poster Session).
0208
BibRef
Torralba, A.[Antonio],
Sinha, P.[Pawan],
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MIT AIM2001-015, July 2001.
WWW Version.
0205
BibRef
Lacey, A.J.,
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Courtney, P.,
Pollard, S.B.,
TINA 2001: The Closed Loop 3D Model Matcher,
BMVC01(Poster Session 1).
HTML Version. University of Manchester
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Harkness, M.,
Green, P.,
Parallel Chains, Delayed Rejection and Reversible Jump MCMC for Object
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BMVC00(xx-yy).
PDF Version.
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Brenner, C.[Claus],
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Active exploration.
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Li, B.X.[Bao-Xin],
Human and Object Tracking and Verification in Video,
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Li, B.X.[Bao-Xin],
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IP(10), No. 6, June 2001, pp. 897-908.
WWW Version.
0106
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Earlier:
UMD--TR3998, March 1999.
WWW Version.
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Reno, A.L.,
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Using Models to Recognise Man-Made Objects,
VS99(xx-yy).
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Deguchi, K.[Koichiro],
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An Architecture of Object Recognition System for Various Images Based
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ICPR98(Vol I: 278-281).
WWW Version.
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Lettner, M.[Martin],
Sablatnig, R.[Robert],
Texture and Profile Features for Drawing Media Recognition in
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ICPR06(II: 308-311).
WWW Version.
0609
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Zolda, E.[Ernestine],
Kammerer, P.[Paul],
Sablatnig, R.[Robert],
Hierarchical Classification of Paintings Using Face- and Brush Stroke
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ICPR98(Vol I: 172-174).
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9808
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Pasquariello, G.,
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ICPR96(I: 223-227).
WWW Version.
9608(Univ. of Karlsruhe, D)
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ICPR96(IV: 148-153).
WWW Version.
9608(The MITRE Corporation, USA)
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9608(Univ. of Paderborn, D)
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Zhang, Q.,
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The Mist Methodology and Its Application to
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ARPA96(1473-1480).
Multi-level Image Samplng and Transformation
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Sandakly, F.,
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SCV95(557-562)
INRIA.
Generic representation of objects, sensors and scenes.
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Abella, A.[Alicia], and
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ARPA94(II:909-918).
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CVPR88(32-41).
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Hierarchical Object Recognition Using Libraries of
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Award, CVPR.
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Dekneuvel, E.,
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Hypotheses Management for Scene Interpretation in a
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Perrott, C.G.[Chris G.],
Hamey, L.G.C.[Leonard G.C.],
Object Recognition: A Survey of the Literature,
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Pope, A.R.[Arthur R.],
Model-Based Object Recognition: A Survey of Recent Research,
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Besselman, J., and
Trivedi, M.M.,
Incorporating Map Information in Object Detection,
SPIE(786), May 1987, pp. 233-239.
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Bidlack, C.R., and
Trivedi, M.M.,
Integrated Vision System for Object Identification and
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Mitiche, A.,
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ICPR88(II: 992-994).
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Narasimhamurthi, N., and
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ICCV87(365-372).
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Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Parameterized Models, Fit Model to Objects .