Velocity Field Estimation Using a Weighted Local Optimization
Summary :
Gradient-based methods for the computation of the velocity from image sequences assume that the velocity field varies smoothly over image. This creates difficulties at regions where the image intensity changes abruptly such as the occluding contours or region boundaries. In this letter, we propose a method to overcome these difficulties by incorporating the information of discontinuities in image intensity into a standard local optimization method. The presented method is applied to the synthetic and real images. The results show that the velocity field computed by the proposed method is less blurred at region boundaries than that of the standard method.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E76-A No.4 pp.661-663
- Publication Date
- 1993/04/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Parallel/Multidimensional Signal Processing
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Jung-Hee LEE, Seong-Dae KIM, "Velocity Field Estimation Using a Weighted Local Optimization" in IEICE TRANSACTIONS on Fundamentals,
vol. E76-A, no. 4, pp. 661-663, April 1993, doi: .
Abstract: Gradient-based methods for the computation of the velocity from image sequences assume that the velocity field varies smoothly over image. This creates difficulties at regions where the image intensity changes abruptly such as the occluding contours or region boundaries. In this letter, we propose a method to overcome these difficulties by incorporating the information of discontinuities in image intensity into a standard local optimization method. The presented method is applied to the synthetic and real images. The results show that the velocity field computed by the proposed method is less blurred at region boundaries than that of the standard method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e76-a_4_661/_p
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@ARTICLE{e76-a_4_661,
author={Jung-Hee LEE, Seong-Dae KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Velocity Field Estimation Using a Weighted Local Optimization},
year={1993},
volume={E76-A},
number={4},
pages={661-663},
abstract={Gradient-based methods for the computation of the velocity from image sequences assume that the velocity field varies smoothly over image. This creates difficulties at regions where the image intensity changes abruptly such as the occluding contours or region boundaries. In this letter, we propose a method to overcome these difficulties by incorporating the information of discontinuities in image intensity into a standard local optimization method. The presented method is applied to the synthetic and real images. The results show that the velocity field computed by the proposed method is less blurred at region boundaries than that of the standard method.},
keywords={},
doi={},
ISSN={},
month={April},}
Copy
TY - JOUR
TI - Velocity Field Estimation Using a Weighted Local Optimization
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 661
EP - 663
AU - Jung-Hee LEE
AU - Seong-Dae KIM
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E76-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 1993
AB - Gradient-based methods for the computation of the velocity from image sequences assume that the velocity field varies smoothly over image. This creates difficulties at regions where the image intensity changes abruptly such as the occluding contours or region boundaries. In this letter, we propose a method to overcome these difficulties by incorporating the information of discontinuities in image intensity into a standard local optimization method. The presented method is applied to the synthetic and real images. The results show that the velocity field computed by the proposed method is less blurred at region boundaries than that of the standard method.
ER -
English
