On robustness and localization accuracy of optical flow computation for underwater color images
Computer Vision and Image Understanding
Color Subspaces as Photometric Invariants
International Journal of Computer Vision
Optical flow using color information: preliminary results
Proceedings of the 2008 ACM symposium on Applied computing
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We perform a qualitative and quantitative analysis of various multi-framecolor 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.