3D reconstruction from stereo images for interactions between real and virtual objects
3D reconstruction from stereo images for interactions between real and virtual objects
The 3D reconstruction algorithm in a stereo image pair for realizing mutual occlusion and interactions between the real and virtual world in an image synthesis is proposed. A two-stage algorithm, consisting of disparity estimation and regularization is used to locate a smooth and precise disparity vector. The hierarchical disparity estimation technique increases the efficiency and reliability of the estimation process, and edge-preserving disparity field regularization produces smooth disparity fields while preserving discontinuities that result from object boundaries. Depth information concerning the real scene is then recovered from the estimated disparity fields by stereo camera geometry. Simulation results show that the proposed algorithm provides accurate and spatially correlated disparity vector fields in various types of images, and the reconstructed 3D model produces a natural space in which the real world and virtual objects interact with each other as if they were in the same world.
3D reconstruction, Disparity estimation, Mixed reality, Mutual occlusion and interaction, Stereo scene analysis, Algorithms, Computer simulation, Finite element method, Mathematical models, Real time systems, Reliability, Vectors, Mutual occlusion, Image processing
61-75
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
January 2005
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
Kim, H. and Sohn, K.
(2005)
3D reconstruction from stereo images for interactions between real and virtual objects.
Signal Processing: Image Communication, 20 (1), .
(doi:10.1016/j.image.2004.10.004).
Abstract
The 3D reconstruction algorithm in a stereo image pair for realizing mutual occlusion and interactions between the real and virtual world in an image synthesis is proposed. A two-stage algorithm, consisting of disparity estimation and regularization is used to locate a smooth and precise disparity vector. The hierarchical disparity estimation technique increases the efficiency and reliability of the estimation process, and edge-preserving disparity field regularization produces smooth disparity fields while preserving discontinuities that result from object boundaries. Depth information concerning the real scene is then recovered from the estimated disparity fields by stereo camera geometry. Simulation results show that the proposed algorithm provides accurate and spatially correlated disparity vector fields in various types of images, and the reconstructed 3D model produces a natural space in which the real world and virtual objects interact with each other as if they were in the same world.
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e-pub ahead of print date: 10 November 2004
Published date: January 2005
Additional Information:
Cited By :30
Export Date: 30 April 2020
CODEN: SPICE
Keywords:
3D reconstruction, Disparity estimation, Mixed reality, Mutual occlusion and interaction, Stereo scene analysis, Algorithms, Computer simulation, Finite element method, Mathematical models, Real time systems, Reliability, Vectors, Mutual occlusion, Image processing
Identifiers
Local EPrints ID: 439841
URI: http://eprints.soton.ac.uk/id/eprint/439841
ISSN: 0923-5965
PURE UUID: f6128920-a55b-44b4-8cae-da8518470a3e
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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:
K. Sohn
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