Eggert, D.W.,
Lorusso, A.,
Fisher, R.B.,
Estimating 3-D Rigid-Body Transformations:
A Comparison of Four Major Algorithms,
MVA(9), No. 5-6, 1997, pp. 272-290.
HTML Version.
9705
BibRef
Edinburgh
Pose Estimation.
Evaluation, Pose. Euclidean transform from matched points.
For an earlier conference version:
Postscript Version.
BibRef
Lorusso, A.,
Eggert, D.W., and
Fisher, R.B.,
A Comparison of Four Algorithms for Estimating 3-D
Rigid Transformations,
BMVC95(xx).
PDF Version.
9509
BibRef
And:
DAI-No. 765, July 1995.
BibRef
Earlier:
DAI-No. 737, March 1995.
BibRef
Edinburgh
BibRef
Madsen, C.B.,
A Comparative-Study of the Robustness of Two Pose Estimation Techniques,
MVA(9), No. 5-6, 1997, pp. 291-303.
HTML Version.
9705
BibRef
Earlier:
PERF96(XX-YY).
HTML Version.
Evaluation, Matching.
BibRef
Liu, Y.[Yong],
Madsen, C.B.[Claus B.],
Störring, M.[Moritz],
An Extended Perspective Three Points Problem,
SCIA03(75-82).
WWW Version.
0310
BibRef
Aggarwal, J.K.,
Ghosh, J.,
Nair, D., and
Taha, I.,
A Comparative Study of Three Paradigms for Object Recognition:
Bayesian Statistics, Neural Networks, and Expert Systems,
AIU96(241-262).
Bayes Nets.
Neural Networks.
Expert Systems.
Evaluation.
BibRef
9600
Nair, D.,
Mitiche, A.,
Aggarwal, J.K.,
On comparing the performance of object recognition systems,
ICIP95(II: 631-634).
IEEE DOI Link
9510
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Walker, R.[Robert],
Evaluating the Performance of Spatially Explicit Models,
PhEngRS(69), No. 11, November 2003, pp. 1271-1278.
Statistical approaches to evaluating the performance of spatially explicit models are described.
WWW Version.
0401
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Mikolajczyk, K.,
Schmid, C.,
A Performance Evaluation of Local Descriptors,
PAMI(27), No. 10, October 2005, pp. 1615-1630.
IEEE DOI Link
0509
BibRef
Earlier:
CVPR03(II: 257-263).
IEEE Abstract. IEEE Top Reference.
0307
SIFT descriptors do best.
See also Distinctive Image Features from Scale-Invariant Keypoints.
BibRef
Barnard, K.[Kobus],
Duygulu, P.[Pinar],
Guru, R.,
Gabbur, P.,
Forsyth, D.A.[David A.],
The effects of segmentation and feature choice in a translation model
of object recognition,
CVPR03(II: 675-682).
IEEE Abstract. IEEE Top Reference.
0307
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Wiedemann, C.[Christian],
Ulrich, M.[Markus],
Steger, C.T.[Carsten T.],
Recognition and Tracking of 3D Objects,
DAGM08(xx-yy).
Springer DOI Link
0806
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Ulrich, M.[Markus],
Steger, C.T.[Carsten T.],
Performance Comparison of 2D Object Recognition Techniques,
PCV02(A: 368).
0305
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Ulrich, M.[Markus],
Steger, C.T.[Carsten T.],
Empirical Performance Evaluation of Object Recognition Methods,
EEMCV01(xx-yy).
0110
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Mundy, J.L., and
Heller, A.J.,
The Evolution and Testing of a Model-Based Object Recognition System,
ICCV90(268-282).
IEEE DOI Link
BibRef
9000
Heller, A.J., and
Mundy, J.L.,
Benchmark Evaluation of a Model-Based Object Recognition System,
DARPA90(727-741).
Matching, Evaluation.
Benchmarks.
BibRef
9000
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
General Spatial Reasoning and Geometric Reasoning Issues .