Disparity estimation using a region-dividing technique and energy-based regularization
Disparity estimation using a region-dividing technique and energy-based regularization
A two-stage algorithm is proposed for locating smooth and detailed disparity vector fields in a stereo image pair. The algorithm consists of hierarchical disparity estimation using a region-dividing technique and edge-preserving regularization. The hierarchical region-dividing disparity estimation increases the efficiency and reliability of the estimation process. At the second stage, the vector fields are regularized with an energy model that produces smooth fields while preserving discontinuities resulting from object boundaries. The minimization problem is addressed by solving a corresponding partial differential equation using a finite-difference method. Experiments show that the proposed algorithm provides accurate and spatially correlated dispartly vector fields in various types of stereo images, even in the case of images with large displacements. © 2004 Society of Photo-Optical Instrumentation Engineers.
Algorithms, Edge detection, Estimation, Finite difference method, Mathematical models, Partial differential equations, Pattern matching, Vectors, Disparity estimation, Energy based regularization, Region dividing technique, Stereo matching, Stereoscopy, Image analysis
1882-1890
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Choe, Y.
b2a40c7a-1d58-4cc6-81a7-5d37480bf930
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
1 August 2004
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Choe, Y.
b2a40c7a-1d58-4cc6-81a7-5d37480bf930
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
Kim, H., Choe, Y. and Sohn, K.
(2004)
Disparity estimation using a region-dividing technique and energy-based regularization.
Optical Engineering, 43 (8), .
(doi:10.1117/1.1766299).
Abstract
A two-stage algorithm is proposed for locating smooth and detailed disparity vector fields in a stereo image pair. The algorithm consists of hierarchical disparity estimation using a region-dividing technique and edge-preserving regularization. The hierarchical region-dividing disparity estimation increases the efficiency and reliability of the estimation process. At the second stage, the vector fields are regularized with an energy model that produces smooth fields while preserving discontinuities resulting from object boundaries. The minimization problem is addressed by solving a corresponding partial differential equation using a finite-difference method. Experiments show that the proposed algorithm provides accurate and spatially correlated dispartly vector fields in various types of stereo images, even in the case of images with large displacements. © 2004 Society of Photo-Optical Instrumentation Engineers.
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Published date: 1 August 2004
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Cited By :18
Export Date: 30 April 2020
CODEN: OPEGA
Keywords:
Algorithms, Edge detection, Estimation, Finite difference method, Mathematical models, Partial differential equations, Pattern matching, Vectors, Disparity estimation, Energy based regularization, Region dividing technique, Stereo matching, Stereoscopy, Image analysis
Identifiers
Local EPrints ID: 439833
URI: http://eprints.soton.ac.uk/id/eprint/439833
ISSN: 0091-3286
PURE UUID: fa4e8137-7d00-48e1-a849-d38aa629ab01
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Date deposited: 05 May 2020 16:31
Last modified: 17 Mar 2024 04:01
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Author:
H. Kim
Author:
Y. Choe
Author:
K. Sohn
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