Return
Computing inverse optical flow
DOI:10.1016/j.patrec.2014.09.009.png)
Abstract
En 中文
We propose four algorithms for computing the inverse optical flow between two images. We assume that the forward optical flow has already been obtained. The forward and backward flows can be related through a warping formula, which allows us to propose very efficient algorithms. These methods provide high accuracy with low memory requirements and low running times. Additionally, when objects move in a sequence, some regions may appear or disappear. Finding inverse flows in these situations is difficult and, in some cases, it is not possible to obtain a correct solution. Our algorithms deal with occlusions easily and reliably, and disocclusions are treated in a post-processing step. We analyze three approaches for filling disocclusions. In the experimental results, we use standard synthetic sequences to study the performance of our methods. The experiments show that our algorithms clearly outperform current state-of-the-art methods. (C) 2014 Elsevier By. All rights reserved.
Keywords:
Inverse optical flow
Backward flow
Inverse mapping
Back registration
Occlusion
Disocclusion
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.3
Papers:
8.0K
Citations:
1.6W
Organization
Cited Papers
no more

