A statistical model to describe invariants extracted from a 3-D quadric surface patch and its applications in region-based recognition

G.Y. Wang, Z. Houkes, Paulus P.L. Regtien, Maarten J. Korsten, G.R. Ji

Research output: Contribution to conferencePaperAcademic

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Abstract

A statistical model, describing noise-disturbed invariants extracted from a surface patch of a range image, has been developed and applied to region based pose estimation and classification of 3D quadrics. The Mahalanobis distance, which yields the same results as a Baysian classifier, is used for the classification of the surface patches. The results, compared with the Euclidean distance, appear to be much more reliable
Original languageUndefined
Pages668-672
DOIs
Publication statusPublished - 1998
Event14th International Conference on Pattern Recognition, 1998 - Brisbane, Australia
Duration: 16 Aug 199820 Aug 1998
Conference number: 14

Conference

Conference14th International Conference on Pattern Recognition, 1998
Abbreviated titleICPR 1998
CountryAustralia
CityBrisbane
Period16/08/9820/08/98

Keywords

  • IR-57718

Cite this

Wang, G. Y., Houkes, Z., Regtien, P. P. L., Korsten, M. J., & Ji, G. R. (1998). A statistical model to describe invariants extracted from a 3-D quadric surface patch and its applications in region-based recognition. 668-672. Paper presented at 14th International Conference on Pattern Recognition, 1998, Brisbane, Australia. https://doi.org/10.1109/ICPR.1998.711232
Wang, G.Y. ; Houkes, Z. ; Regtien, Paulus P.L. ; Korsten, Maarten J. ; Ji, G.R. / A statistical model to describe invariants extracted from a 3-D quadric surface patch and its applications in region-based recognition. Paper presented at 14th International Conference on Pattern Recognition, 1998, Brisbane, Australia.
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abstract = "A statistical model, describing noise-disturbed invariants extracted from a surface patch of a range image, has been developed and applied to region based pose estimation and classification of 3D quadrics. The Mahalanobis distance, which yields the same results as a Baysian classifier, is used for the classification of the surface patches. The results, compared with the Euclidean distance, appear to be much more reliable",
keywords = "IR-57718",
author = "G.Y. Wang and Z. Houkes and Regtien, {Paulus P.L.} and Korsten, {Maarten J.} and G.R. Ji",
year = "1998",
doi = "10.1109/ICPR.1998.711232",
language = "Undefined",
pages = "668--672",
note = "null ; Conference date: 16-08-1998 Through 20-08-1998",

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Wang, GY, Houkes, Z, Regtien, PPL, Korsten, MJ & Ji, GR 1998, 'A statistical model to describe invariants extracted from a 3-D quadric surface patch and its applications in region-based recognition' Paper presented at 14th International Conference on Pattern Recognition, 1998, Brisbane, Australia, 16/08/98 - 20/08/98, pp. 668-672. https://doi.org/10.1109/ICPR.1998.711232

A statistical model to describe invariants extracted from a 3-D quadric surface patch and its applications in region-based recognition. / Wang, G.Y.; Houkes, Z.; Regtien, Paulus P.L.; Korsten, Maarten J.; Ji, G.R.

1998. 668-672 Paper presented at 14th International Conference on Pattern Recognition, 1998, Brisbane, Australia.

Research output: Contribution to conferencePaperAcademic

TY - CONF

T1 - A statistical model to describe invariants extracted from a 3-D quadric surface patch and its applications in region-based recognition

AU - Wang, G.Y.

AU - Houkes, Z.

AU - Regtien, Paulus P.L.

AU - Korsten, Maarten J.

AU - Ji, G.R.

PY - 1998

Y1 - 1998

N2 - A statistical model, describing noise-disturbed invariants extracted from a surface patch of a range image, has been developed and applied to region based pose estimation and classification of 3D quadrics. The Mahalanobis distance, which yields the same results as a Baysian classifier, is used for the classification of the surface patches. The results, compared with the Euclidean distance, appear to be much more reliable

AB - A statistical model, describing noise-disturbed invariants extracted from a surface patch of a range image, has been developed and applied to region based pose estimation and classification of 3D quadrics. The Mahalanobis distance, which yields the same results as a Baysian classifier, is used for the classification of the surface patches. The results, compared with the Euclidean distance, appear to be much more reliable

KW - IR-57718

U2 - 10.1109/ICPR.1998.711232

DO - 10.1109/ICPR.1998.711232

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EP - 672

ER -

Wang GY, Houkes Z, Regtien PPL, Korsten MJ, Ji GR. A statistical model to describe invariants extracted from a 3-D quadric surface patch and its applications in region-based recognition. 1998. Paper presented at 14th International Conference on Pattern Recognition, 1998, Brisbane, Australia. https://doi.org/10.1109/ICPR.1998.711232