Hierarchical depth estimation for image synthesis in mixed reality
Hierarchical depth estimation for image synthesis in mixed reality
Mixed reality is different from the virtual reality in that users can feel immersed in a space which is composed of not only virtual but also real objects. Thus, it is essential to realize seamless integration and mutual occlusion of the virtual and real worlds. Therefore, we need depth information of the real scene to perform the synthesis. We propose the depth estimation algorithm with sharp object boundaries for mixed reality system based on hierarchical disparity estimation. Initial disparity vectors are obtained from downsampled stereo images using region-dividing disparity estimation technique. Then, background region is detected and flattened. With these initial vectors, dense disparities are estimated and regularized with shape-adaptive window in full resolution images. Finally, depth values are calculated by stereo geometry and camera parameters. As a result, virtual objects can be mixed into the image of real world by comparing the calculated depth values with the depth information of generated virtual objects. Experimental results show that occlusion between the virtual and real objects are correctly established with sharp boundaries in the synthesized images, so that user can observe the mixed scene with considerably natural sensation.
Depth estimation, Disparity estimation, Image synthesis, Mixed reality, Algorithms, Cameras, Depth perception, Estimation, Geometry, Image processing, Stereo vision, Virtual reality
544-553
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
30 May 2003
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
Kim, H. and Sohn, K.
(2003)
Hierarchical depth estimation for image synthesis in mixed reality.
Woods, Andrew J., Merritt, John O., Benton, Stephen A. and Bolas, Mark T.
(eds.)
In Stereoscopic Displays and Virtual Reality Systems X.
SPIE.
.
(doi:10.1117/12.473879).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Mixed reality is different from the virtual reality in that users can feel immersed in a space which is composed of not only virtual but also real objects. Thus, it is essential to realize seamless integration and mutual occlusion of the virtual and real worlds. Therefore, we need depth information of the real scene to perform the synthesis. We propose the depth estimation algorithm with sharp object boundaries for mixed reality system based on hierarchical disparity estimation. Initial disparity vectors are obtained from downsampled stereo images using region-dividing disparity estimation technique. Then, background region is detected and flattened. With these initial vectors, dense disparities are estimated and regularized with shape-adaptive window in full resolution images. Finally, depth values are calculated by stereo geometry and camera parameters. As a result, virtual objects can be mixed into the image of real world by comparing the calculated depth values with the depth information of generated virtual objects. Experimental results show that occlusion between the virtual and real objects are correctly established with sharp boundaries in the synthesized images, so that user can observe the mixed scene with considerably natural sensation.
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Published date: 30 May 2003
Additional Information:
Cited By :9
Export Date: 30 April 2020
CODEN: PSISD
Venue - Dates:
SPIE, San Jose, CA, United States, 2003-01-25 - 2003-01-31
Keywords:
Depth estimation, Disparity estimation, Image synthesis, Mixed reality, Algorithms, Cameras, Depth perception, Estimation, Geometry, Image processing, Stereo vision, Virtual reality
Identifiers
Local EPrints ID: 439820
URI: http://eprints.soton.ac.uk/id/eprint/439820
PURE UUID: 0c4a04a7-e677-4f08-9088-f05e504ec789
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Date deposited: 05 May 2020 16:30
Last modified: 17 Mar 2024 04:01
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Contributors
Author:
H. Kim
Author:
K. Sohn
Editor:
Andrew J. Woods
Editor:
John O. Merritt
Editor:
Stephen A. Benton
Editor:
Mark T. Bolas
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