Authors:
Javier Sánchez
;
Agustin Salgado
and
Nelson Monzón
Affiliation:
University of Las Palmas de Gran Canaria, Spain
Keyword(s):
Backward Flow, Inverse Optical Flow, Back Registration, Inverse Mapping, Optical Flow, Image Registration, Occlusions, Disocclusions.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Registration
;
Motion, Tracking and Stereo Vision
;
Optical Flow and Motion Analyses
Abstract:
The aim of this work is to propose a new method for estimating the backward flow directly from the optical
flow. We assume that the optical flow has already been computed and we need to estimate the inverse mapping.
This mapping is not bijective due to the presence of occlusions and disocclusions, therefore it is not possible to
estimate the inverse function in the whole domain. Values in these regions has to be guessed from the available
information. We propose an accurate algorithm to calculate the backward flow uniquely from the optical flow,
using a simple relation. Occlusions are filled by selecting the maximum motion and disocclusions are filled
with two different strategies: a min-fill strategy, which fills each disoccluded region with the minimum value
around the region; and a restricted min-fill approach that selects the minimum value in a close neighborhood.
In the experimental results, we show the accuracy of the method and compare the results using these two
strategies.