Real-time depth reconstruction from stereo sequences
Real-time depth reconstruction from stereo sequences
We propose a fast depth reconstruction algorithm for stereo sequences using camera geometry and disparity estimation. In disparity estimation process, we calculate dense background disparity fields in an initialization step so that only disparities of moving object regions are updated in the main process using real-time segmentation and hierarchical disparity estimation techniques. The estimated dense disparity fields are converted into depth information by camera geometry. Experimental results show that the proposed algorithm provides accurate depth information with an average processing speed of 15 frames/sec for 320 × 240 stereo sequences on a common PC. We also verified the performance of the proposed algorithm by applying it to real applications.
Depth reconstruction, Disparity estimation, Foreground segmentation, Real-time system, Algorithms, Cameras, Geometry, Hierarchical systems, Performance, Depth information, Real-time depth reconstruction, Stereo sequences, Real time systems
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Choi, S.
2fe3f5fc-a199-46c0-9199-be176a87e513
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
October 2005
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Choi, S.
2fe3f5fc-a199-46c0-9199-be176a87e513
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
Kim, H., Choi, S. and Sohn, K.
(2005)
Real-time depth reconstruction from stereo sequences.
Javidi, Bahram, Okano, Fumio and Son, Jung-Young
(eds.)
In Three-Dimensional TV, Video, and Display IV.
SPIE..
(doi:10.1117/12.630397).
Record type:
Conference or Workshop Item
(Paper)
Abstract
We propose a fast depth reconstruction algorithm for stereo sequences using camera geometry and disparity estimation. In disparity estimation process, we calculate dense background disparity fields in an initialization step so that only disparities of moving object regions are updated in the main process using real-time segmentation and hierarchical disparity estimation techniques. The estimated dense disparity fields are converted into depth information by camera geometry. Experimental results show that the proposed algorithm provides accurate depth information with an average processing speed of 15 frames/sec for 320 × 240 stereo sequences on a common PC. We also verified the performance of the proposed algorithm by applying it to real applications.
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More information
Published date: October 2005
Additional Information:
Export Date: 30 April 2020
CODEN: PSISD
Venue - Dates:
Proc. SPIE 2005, 2005-01-01
Keywords:
Depth reconstruction, Disparity estimation, Foreground segmentation, Real-time system, Algorithms, Cameras, Geometry, Hierarchical systems, Performance, Depth information, Real-time depth reconstruction, Stereo sequences, Real time systems
Identifiers
Local EPrints ID: 439843
URI: http://eprints.soton.ac.uk/id/eprint/439843
PURE UUID: bc541054-7d00-451f-9fd6-b2710e5b4a14
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Date deposited: 05 May 2020 16:31
Last modified: 17 Mar 2024 04:01
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Contributors
Author:
H. Kim
Author:
S. Choi
Author:
K. Sohn
Editor:
Bahram Javidi
Editor:
Fumio Okano
Editor:
Jung-Young Son
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