Global-to-Local Histogram Match Culling for Epipolar Geometry Estimation

Murray Evans; James Ferryman

doi:10.1109/AVSS.2006.54

Global-to-Local Histogram Match Culling for Epipolar Geometry Estimation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Estimation of the Epipolar Geometry and Fundamental Matrix for a pair of stereo images often begins with a stage of feature (corner) detection and correlation based feature matching. This generally results in a set of matches where features are matched multiple times and frequently incorrectly. This paper introduces a simple and fast histogram based technique for refining the set of matches prior to a final stage of robust Fundamental Matrix estimation that compares favourably to previously published techniques such as SVD and Relaxation.

Original language	English
Title of host publication	IEEE International Conference on Advanced Video and Signal Based Surveillance, 2006
Subtitle of host publication	AVSS 2006.
Publisher	IEEE
ISBN (Print)	0-7695-2688-8
DOIs	https://doi.org/10.1109/AVSS.2006.54
Publication status	Published - Nov 2006

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10.1109/AVSS.2006.54

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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)
Cosker, D., Campbell, N., Fincham Haines, T., Hall, P., Kim, K. I., Lutteroth, C., O'Neill, E., Richardt, C. & Yang, Y.
Engineering and Physical Sciences Research Council
1/09/15 → 28/02/21
Project: Research council

Cite this

@inproceedings{5dd189256f454f1fb1897fb561f76539,

title = "Global-to-Local Histogram Match Culling for Epipolar Geometry Estimation",

abstract = "Estimation of the Epipolar Geometry and Fundamental Matrix for a pair of stereo images often begins with a stage of feature (corner) detection and correlation based feature matching. This generally results in a set of matches where features are matched multiple times and frequently incorrectly. This paper introduces a simple and fast histogram based technique for refining the set of matches prior to a final stage of robust Fundamental Matrix estimation that compares favourably to previously published techniques such as SVD and Relaxation.",

author = "Murray Evans and James Ferryman",

year = "2006",

month = nov,

doi = "10.1109/AVSS.2006.54",

language = "English",

isbn = "0-7695-2688-8",

booktitle = "IEEE International Conference on Advanced Video and Signal Based Surveillance, 2006",

publisher = "IEEE",

address = "USA United States",

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T1 - Global-to-Local Histogram Match Culling for Epipolar Geometry Estimation

AU - Evans, Murray

AU - Ferryman, James

PY - 2006/11

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N2 - Estimation of the Epipolar Geometry and Fundamental Matrix for a pair of stereo images often begins with a stage of feature (corner) detection and correlation based feature matching. This generally results in a set of matches where features are matched multiple times and frequently incorrectly. This paper introduces a simple and fast histogram based technique for refining the set of matches prior to a final stage of robust Fundamental Matrix estimation that compares favourably to previously published techniques such as SVD and Relaxation.

AB - Estimation of the Epipolar Geometry and Fundamental Matrix for a pair of stereo images often begins with a stage of feature (corner) detection and correlation based feature matching. This generally results in a set of matches where features are matched multiple times and frequently incorrectly. This paper introduces a simple and fast histogram based technique for refining the set of matches prior to a final stage of robust Fundamental Matrix estimation that compares favourably to previously published techniques such as SVD and Relaxation.

U2 - 10.1109/AVSS.2006.54

DO - 10.1109/AVSS.2006.54

M3 - Conference contribution

SN - 0-7695-2688-8

BT - IEEE International Conference on Advanced Video and Signal Based Surveillance, 2006

PB - IEEE

ER -

Global-to-Local Histogram Match Culling for Epipolar Geometry Estimation

Abstract

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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)

Cite this