Quantitative Color Optical Flow

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.

• Type: Conference
• Year: 2002
• Where: ICPR
• Authors: John L. Barron, Reinhard Klette
• Keywords: Computer Vision, Directional Regularization Constraint, ICPR 2002, Optical Flow Accuracy, Optical Flow Methods