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Edge-preserving joint motion disparity estimation in stereo image sequences

Edge-preserving joint motion disparity estimation in stereo image sequences
Edge-preserving joint motion disparity estimation in stereo image sequences
In this paper, we propose an energy-based joint motion-disparity estimation algorithm from the calibrated stereoscopic image sequences while preserving image discontinuities. We can estimate dense motion and disparity in the same method and compute initial dense disparity of the next frame using the constraint between motion and disparity in stereo image sequence. Using energy minimization approach, the field, which are motion and disparity, can be estimated in the same method and this method produces smooth field in object area while preserving its discontinuities of image boundaries. To preserve discontinuities and overcome a classic ill-posed problem, we use the regularization term proposed by Nagel-Enkelmann. We solve the Euler-Lagrange equation to minimize the energy functional and this partial differential equation is solved by the gradient descent method which is the most popular algorithm. And to avoid convergence to irrelevant local minima during iterations, we choose the proper initial data. Our experiment is performed on real stereoscopic sequences. Our experimental results showed that the proposed algorithm provides the accurate fields and the motion and disparity maps reflect the constraint of motion and disparity and preserve discontinuities of image boundaries well.
Discontinuities, Energy model, Euler-Lagrange equation, Joint estimation, Algorithms, Cameras, Lagrange multipliers, Partial differential equations, Problem solving, Spectroscopic analysis, Image processing
0923-5965
471-476
Min, D.
61d2fb84-911f-4da4-8732-4213f67ef08f
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Choi, S.
5b29fa89-bafc-4e07-91ad-6eab03601a48
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
Min, D.
61d2fb84-911f-4da4-8732-4213f67ef08f
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Choi, S.
5b29fa89-bafc-4e07-91ad-6eab03601a48
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff

Min, D., Kim, H., Choi, S. and Sohn, K. (2006) Edge-preserving joint motion disparity estimation in stereo image sequences. Signal Processing: Image Communication, 21 (3), 471-476. (doi:10.1016/j.image.2005.10.003).

Record type: Article

Abstract

In this paper, we propose an energy-based joint motion-disparity estimation algorithm from the calibrated stereoscopic image sequences while preserving image discontinuities. We can estimate dense motion and disparity in the same method and compute initial dense disparity of the next frame using the constraint between motion and disparity in stereo image sequence. Using energy minimization approach, the field, which are motion and disparity, can be estimated in the same method and this method produces smooth field in object area while preserving its discontinuities of image boundaries. To preserve discontinuities and overcome a classic ill-posed problem, we use the regularization term proposed by Nagel-Enkelmann. We solve the Euler-Lagrange equation to minimize the energy functional and this partial differential equation is solved by the gradient descent method which is the most popular algorithm. And to avoid convergence to irrelevant local minima during iterations, we choose the proper initial data. Our experiment is performed on real stereoscopic sequences. Our experimental results showed that the proposed algorithm provides the accurate fields and the motion and disparity maps reflect the constraint of motion and disparity and preserve discontinuities of image boundaries well.

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More information

e-pub ahead of print date: 28 November 2005
Published date: March 2006
Additional Information: Export Date: 30 April 2020
Venue - Dates: IASTED International Conference on Signal and Image Processing, 2004-04-22
Keywords: Discontinuities, Energy model, Euler-Lagrange equation, Joint estimation, Algorithms, Cameras, Lagrange multipliers, Partial differential equations, Problem solving, Spectroscopic analysis, Image processing

Identifiers

Local EPrints ID: 439840
URI: http://eprints.soton.ac.uk/id/eprint/439840
ISSN: 0923-5965
PURE UUID: 2d60062c-87ca-4f05-90c9-5b4abf7dfe67
ORCID for H. Kim: ORCID iD orcid.org/0000-0003-4907-0491

Catalogue record

Date deposited: 05 May 2020 16:31
Last modified: 23 May 2020 00:47

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