by Barron, J and Klette, R
Abstract:
We perform a qualitative and quantitative analysis of various multi-frame color optical flow methods for synthetic and real panning and zooming image sequences. We show that optical flow accuracy improvement can be slightly improved if color images are available instead of gray value or saturation images. We show the usefulness of a directional regularization constraint for computing optical flow when the camera motion is known to be panning or zooming. © 2002 IEEE.
Reference:
Quantitative color optical flow (Barron, J and Klette, R), In Proceedings – International Conference on Pattern Recognition, volume 16, 2002.
Bibtex Entry:
@inproceedings{barron2002quantitativeflow,
author = "Barron, J and Klette, R",
booktitle = "Proceedings - International Conference on Pattern Recognition",
pages = "251--255",
title = "Quantitative color optical flow",
volume = "16",
year = "2002",
abstract = "We perform a qualitative and quantitative analysis of various multi-frame color optical flow methods for synthetic and real panning and zooming image sequences. We show that optical flow accuracy improvement can be slightly improved if color images are available instead of gray value or saturation images. We show the usefulness of a directional regularization constraint for computing optical flow when the camera motion is known to be panning or zooming. © 2002 IEEE.",
issn = "1051-4651",
issue = "4",
language = "eng",
}