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Improved Local Flow

Authors: Shaogang Gong;

Improved Local Flow

Abstract

In order to understand the parallel computation of optic flow, we introduce here a novel algorithm for computing the flow field at certain locations in the image. These locations are on the gradient edges, which Brady calls seeds [1] . Our Curve Motion Constraint Equation provides an additional constraint to fully and locally estimate the flow field at seeds. Our initial computational experiments have used the improved local flow as the initial input to Hildreth's algorithm. Now we are exploring an algorithm to perform the whole computation in parallel.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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