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

doi: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

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

Research output: Contribution to conference › Paper

246 Downloads (Pure)

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 language	Undefined
Pages	668-672
DOIs	https://doi.org/10.1109/ICPR.1998.711232
Publication status	Published - 1998
Event	14th International Conference on Pattern Recognition, 1998 - Brisbane, Australia Duration: 16 Aug 1998 → 20 Aug 1998 Conference number: 14

Conference

Conference	14th International Conference on Pattern Recognition, 1998
Abbreviated title	ICPR 1998
Country/Territory	Australia
City	Brisbane
Period	16/08/98 → 20/08/98

Keywords

IR-57718

Access to Document

10.1109/ICPR.1998.711232

Wang98statistical

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, Queensland, Australia. https://doi.org/10.1109/ICPR.1998.711232

@conference{f44288a55ec34704b348160c705d1af5,

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

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 = "14th International Conference on Pattern Recognition, 1998 ; Conference date: 16-08-1998 Through 20-08-1998",

}

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

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.

N1 - Conference code: 14

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

M3 - Paper

SP - 668

EP - 672

T2 - 14th International Conference on Pattern Recognition, 1998

Y2 - 16 August 1998 through 20 August 1998

ER -