Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/61934
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Type: | Conference paper |
Title: | Multiple homography estimation with full consistency constraints |
Author: | Chojnacki, W. Szpak, Z. Brooks, M. Van Den Hengel, A. |
Citation: | The International Conference on Digital Image International Conference on Digital Image Computing: Techniques and Applications (DICTA 2010), held in Sydney, Australia 1 - 3 December 2010: pp.480-485 |
Publisher: | IEEE |
Publisher Place: | USA |
Issue Date: | 2010 |
ISBN: | 9781424488162 |
Conference Name: | Digital Image Computing: Techniques and Applications (2010 : Sydney, Australia) |
Editor: | Zhang, J. Shen, C. Geers, G. |
Statement of Responsibility: | Wojciech Chojnacki, Zygmunt L. Szpak, Michael J. Brooks and Anton van den Hengel |
Abstract: | A novel approach is presented to estimating a set of interdependent homography matrices linked together by latent variables. The approach allows enforcement of all underlying consistency constraints while accounting for the arbitrariness of the scale of each individual matrix. The input data is assumed to be in the form of a set of homography matrices obtained by estimation from image data with the consistency constraints ignored, appended by a set of error covariances associated with these matrix estimates. A cost function is proposed for upgrading, via optimisation, the input data to a set of homography matrices satisfying the constraints. The function is invariant to a change of any of the individual scales of the input matrices. The proposed approach is applied to the particular problem of estimating a set of homography matrices induced by multiple planes in the 3D scene between two views. Experimental results are given which demonstrate the effectiveness of the approach. |
Rights: | Copyright 2010 IEEE |
DOI: | 10.1109/DICTA.2010.87 |
Description (link): | http://dicta2010.conference.nicta.com.au/ |
Published version: | http://dx.doi.org/10.1109/dicta.2010.87 |
Appears in Collections: | Aurora harvest Computer Science publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_61934.pdf | Accepted version | 1.07 MB | Adobe PDF | View/Open |
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