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3D inference and modelling for video retrieval

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3D inference and modelling for video retrieval. / Zhou, Huiyu; Sadka, Abdul; Jiang, Richard M.

WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services. 2008. p. 84-87 4556889 (WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Zhou, H, Sadka, A & Jiang, RM 2008, 3D inference and modelling for video retrieval. in WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services., 4556889, WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services, pp. 84-87, 9th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2008, Klagenfurt, Austria, 7/05/08. https://doi.org/10.1109/WIAMIS.2008.37

APA

Zhou, H., Sadka, A., & Jiang, R. M. (2008). 3D inference and modelling for video retrieval. In WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services (pp. 84-87). [4556889] (WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services). https://doi.org/10.1109/WIAMIS.2008.37

Vancouver

Zhou H, Sadka A, Jiang RM. 3D inference and modelling for video retrieval. In WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services. 2008. p. 84-87. 4556889. (WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services). https://doi.org/10.1109/WIAMIS.2008.37

Author

Zhou, Huiyu ; Sadka, Abdul ; Jiang, Richard M. / 3D inference and modelling for video retrieval. WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services. 2008. pp. 84-87 (WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services).

Bibtex

@inproceedings{ee51edaa76f441b79e8f55610cd55b37,
title = "3D inference and modelling for video retrieval",
abstract = "A new scheme is proposed for extracting planar surfaces from 2D image sequences. We firstly perform feature correspondence over two neighboring frames, followed by the estimation of disparity and depth maps, provided a calibrated camera. We then apply iterative Random Sample Consensus (RANSAC) plane fitting to the generated 3D points to find a dominant plane in a maximum likelihood estimation style. Object points on or off this dominant plane are determined by measuring their Euclidean distance to the plane. Experimental work shows that the proposed scheme leads to better plane fitting results than the classical RANSAC method.",
author = "Huiyu Zhou and Abdul Sadka and Jiang, {Richard M.}",
year = "2008",
month = sep,
day = "19",
doi = "10.1109/WIAMIS.2008.37",
language = "English",
isbn = "9780769531304",
series = "WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services",
pages = "84--87",
booktitle = "WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services",
note = "9th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2008 ; Conference date: 07-05-2008 Through 09-05-2008",

}

RIS

TY - GEN

T1 - 3D inference and modelling for video retrieval

AU - Zhou, Huiyu

AU - Sadka, Abdul

AU - Jiang, Richard M.

PY - 2008/9/19

Y1 - 2008/9/19

N2 - A new scheme is proposed for extracting planar surfaces from 2D image sequences. We firstly perform feature correspondence over two neighboring frames, followed by the estimation of disparity and depth maps, provided a calibrated camera. We then apply iterative Random Sample Consensus (RANSAC) plane fitting to the generated 3D points to find a dominant plane in a maximum likelihood estimation style. Object points on or off this dominant plane are determined by measuring their Euclidean distance to the plane. Experimental work shows that the proposed scheme leads to better plane fitting results than the classical RANSAC method.

AB - A new scheme is proposed for extracting planar surfaces from 2D image sequences. We firstly perform feature correspondence over two neighboring frames, followed by the estimation of disparity and depth maps, provided a calibrated camera. We then apply iterative Random Sample Consensus (RANSAC) plane fitting to the generated 3D points to find a dominant plane in a maximum likelihood estimation style. Object points on or off this dominant plane are determined by measuring their Euclidean distance to the plane. Experimental work shows that the proposed scheme leads to better plane fitting results than the classical RANSAC method.

U2 - 10.1109/WIAMIS.2008.37

DO - 10.1109/WIAMIS.2008.37

M3 - Conference contribution/Paper

AN - SCOPUS:51749085862

SN - 9780769531304

T3 - WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services

SP - 84

EP - 87

BT - WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services

T2 - 9th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2008

Y2 - 7 May 2008 through 9 May 2008

ER -