14.5.3.1 Learning Model Descriptions

Chapter Contents (Back)
Model Based Vision. Learning Models.

Weng, J.Y.[Ju-Yang], Ahuja, N., Huang, T.S.,
Learning Recognition and Segmentation Using the Cresceptron,
IJCV(25), No. 2, November 1997, pp. 109-143.
WWW Version. 9712
BibRef
Earlier:
Learning Recognition and Segmentation of 3-D Objects from 2-D Images,
ICCV93(121-128).
IEEE DOI Link The framework (called Cresceptron) to generalize models for recognition. The structures are the line segments that match the model. Illustrated on a number of different images. BibRef

Mirhosseini, A.R., Yan, H.,
Learning Object Models from Graph Templates,
JEI(6), No. 3, July 1997, pp. 294-302. 9807
BibRef

Wu, P.S.Y., Xiong, Y.G.,
A Learning Mechanism for Parts Recognition in an Intelligent Assembly System,
IJAMT(13), No. 6, 1997, pp. 413-418. 9708
BibRef

Caelli, T.M.[Terry M.], West, G.A.W.[Geoff A.W.], Robey, M.[Mike], Osman, E.[Erol],
A relational learning method for pattern and object recognition,
IVC(17), No. 5/6, April 1999, pp. 391-401.
WWW Version. BibRef 9904

Yeasin, M., Chaudhuri, S.,
Toward Automatic Robot Programming: Learning Human Skill from Visual Data,
SMC-B(30), No. 1, February 2000, pp. 180-184.
IEEE Top Reference. 0004
BibRef
Earlier:
Automatic Generation of Robot Program Code: Learning from Perceptual Data,
ICCV98(889-894).
IEEE DOI Link BibRef

Tamminen, T.[Toni], Lampinen, J.[Jouko],
Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions,
PAMI(28), No. 6, June 2006, pp. 930-941.
IEEE DOI Link 0605
BibRef
Earlier:
A Bayesian Occlusion Model for Sequential Object Matching,
BMVC04(xx-yy).
HTML Version. 0508
BibRef
Earlier:
Learning an Object Model for Feature Matching in Clutter,
SCIA03(193-199).
WWW Version. 0310
BibRef

Kim, S.[Sungho], Yoon, K.J.[Kuk-Jin], Kweon, I.S.[In So],
Object Recognition Using a Generalized Robust Invariant Feature and Gestalt's Law of Proximity and Similarity,
PR(41), No. 2, February 2008, pp. 726-741.
WWW Version. 0711
BibRef PercOrg06(193).
IEEE DOI Link 0609
Background clutter; Interior context; Complementary feature; Contextual voting; Gestalt law BibRef

Kim, S.[Sungho], Kweon, I.S.[In So],
Biologically Motivated Perceptual Feature: Generalized Robust Invariant Feature,
ACCV06(II:305-314).
Springer DOI Link 0601
Combine radial symmetry and corner features. BibRef

Kim, S.[Sungho], Kweon, I.S.[In So],
Scalable representation for 3D object recognition using feature sharing and view clustering,
PR(41), No. 2, February 2008, pp. 754-773.
WWW Version. 0711
BibRef
Earlier:
Scalable Representation and Learning for 3D Object Recognition Using Shared Feature-Based View Clustering,
ACCV06(II:561-570).
Springer DOI Link 0601
3D object representation; Scalability; Robust invariant feature; Feature sharing; View clustering BibRef


Polak, S.[Simon], Shashua, A.[Amnon],
Latent Model Clustering and Applications to Visual Recognition,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Fidler, S.[Sanja], Berginc, G.[Gregor], Leonardis, A.[Ales],
Hierarchical Statistical Learning of Generic Parts of Object Structure,
CVPR06(I: 182-189).
IEEE DOI Link 0606
BibRef

Spence, C., Pearson, J.D., Sajda, P.,
Learning Hierarchical Representations of Objects,
ARPA96(1415-1428). BibRef 9600

Duric, Z., Rivlin, E., Rosenfeld, A.,
Learning an Object's Function by Observing the Object in Action,
ARPA96(1437-1446). BibRef 9600

Maloof, M.A.[Marcus A.], Langley, P.[Pat], Sage, S.[Stephanie], Binford, T.O.[Thomas O.],
Learning to Detect Rooftops in Aerial Images,
DARPA97(835-846). Cartography. BibRef 9700

Binford, T.O.[Thomas O.], and Levitt, T.S.[Tod S.], and Langley, P.[Pat],
Learning Object Models From Visual Observation and Background Knowledge,
ARPA94(I:765-772). BibRef 9400

Provan, G.M., Langley, P., Binford, T.O.,
Probabilistic Learning of Three-Dimensional Object Models,
ARPA96(1403-1414). BibRef 9600

Payne, J.[Janet], Day, M.[Mark],
A Projection Filter for Use with Parameterised Learning Models,
ICPR98(Vol I: 867-869).
IEEE DOI Link 9808
BibRef

Zhu, S.C., Mumford, D.,
Learning Generic Prior Models for Visual Computation,
CVPR97(463-469).
IEEE Abstract. IEEE Top Reference.
WWW Version. 9704
Learning textures. BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Statistical Learning, Clustering, Learning Feature Values .


Last update:Nov 16, 2009 at 19:35:14