Structure Recovery and Motion Estimation from Stereo Motion
Summary :
This paper presents a modified disparity measurement to recover the depth and a robust method to estimate motion parameters. First, this paper considers phase correspondence for the computation of disparity. It has less computation for disparity than previous methods that use the disparity from correspondence and from correlation. This modified disparity measurement uses the Gabor filter to analyze the local phase property and the exponential filter to analyze the global phase property. These two phases are added to make quasi-linear phases of the stereo image channels which are used for the stereo disparity finding and the structure recovery of scene. Then, we use feature-based correspondence to find the corresponding feature points in temporal image pair. Finally, we combine the depth map and use disparity motion stereo to estimate 3-D motion parameters.
- Publication
- IEICE TRANSACTIONS on Information Vol.E77-D No.11 pp.1247-1258
- Publication Date
- 1994/11/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Computer Vision)
- Category
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Shin-Chung WANG, Chung-Lin HUANG, "Structure Recovery and Motion Estimation from Stereo Motion" in IEICE TRANSACTIONS on Information,
vol. E77-D, no. 11, pp. 1247-1258, November 1994, doi: .
Abstract: This paper presents a modified disparity measurement to recover the depth and a robust method to estimate motion parameters. First, this paper considers phase correspondence for the computation of disparity. It has less computation for disparity than previous methods that use the disparity from correspondence and from correlation. This modified disparity measurement uses the Gabor filter to analyze the local phase property and the exponential filter to analyze the global phase property. These two phases are added to make quasi-linear phases of the stereo image channels which are used for the stereo disparity finding and the structure recovery of scene. Then, we use feature-based correspondence to find the corresponding feature points in temporal image pair. Finally, we combine the depth map and use disparity motion stereo to estimate 3-D motion parameters.
URL: https://global.ieice.org/en_transactions/information/10.1587/e77-d_11_1247/_p
Copy
@ARTICLE{e77-d_11_1247,
author={Shin-Chung WANG, Chung-Lin HUANG, },
journal={IEICE TRANSACTIONS on Information},
title={Structure Recovery and Motion Estimation from Stereo Motion},
year={1994},
volume={E77-D},
number={11},
pages={1247-1258},
abstract={This paper presents a modified disparity measurement to recover the depth and a robust method to estimate motion parameters. First, this paper considers phase correspondence for the computation of disparity. It has less computation for disparity than previous methods that use the disparity from correspondence and from correlation. This modified disparity measurement uses the Gabor filter to analyze the local phase property and the exponential filter to analyze the global phase property. These two phases are added to make quasi-linear phases of the stereo image channels which are used for the stereo disparity finding and the structure recovery of scene. Then, we use feature-based correspondence to find the corresponding feature points in temporal image pair. Finally, we combine the depth map and use disparity motion stereo to estimate 3-D motion parameters.},
keywords={},
doi={},
ISSN={},
month={November},}
Copy
TY - JOUR
TI - Structure Recovery and Motion Estimation from Stereo Motion
T2 - IEICE TRANSACTIONS on Information
SP - 1247
EP - 1258
AU - Shin-Chung WANG
AU - Chung-Lin HUANG
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E77-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 1994
AB - This paper presents a modified disparity measurement to recover the depth and a robust method to estimate motion parameters. First, this paper considers phase correspondence for the computation of disparity. It has less computation for disparity than previous methods that use the disparity from correspondence and from correlation. This modified disparity measurement uses the Gabor filter to analyze the local phase property and the exponential filter to analyze the global phase property. These two phases are added to make quasi-linear phases of the stereo image channels which are used for the stereo disparity finding and the structure recovery of scene. Then, we use feature-based correspondence to find the corresponding feature points in temporal image pair. Finally, we combine the depth map and use disparity motion stereo to estimate 3-D motion parameters.
ER -
English
