Lucas–Kanade method

Known as: Lucas–Kanade Optical Flow Method, Lucas Kanade method, Lucas-kanade 
In computer vision, the Lucas–Kanade method (pronounced /lukɑs kɑnɑdɪ/) is a widely used differential method for optical flow estimation developed by… (More)
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Papers overview

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2017
2017
This paper proposes a data-driven approach for image alignment. Our main contribution is a novel network architecture that… (More)
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2017
2017
Image registration plays a major role in many areas such as remote sensing, astronomy, biomedical imaging, and so on. Our main… (More)
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2014
2014
The Lucas-Kanade (LK) method is a classic tracking algorithm exploiting target structural constraints thorough template matching… (More)
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Review
2013
Review
2013
Motion estimation is demanding field among researchers to compute independent estimation of motion at each pixel in most of… (More)
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2012
2012
Basic video sequence stabilization algorithm has been considered. Anchor points search method and shift determining method which… (More)
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2012
2012
Optical flow algorithms offer a way to estimate motion from a sequence of images. The computation of optical flow plays a key… (More)
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2011
2011
Visual motion is a simple yet powerful cue widely used by biological systems to improve their perception and adaptation to the… (More)
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Highly Cited
2010
Highly Cited
2010
In 2000, the Cohn-Kanade (CK) database was released for the purpose of promoting research into automatically detecting individual… (More)
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2008
2008
The optical flow estimation is one of important problem in computer vision. Differential techniques were used successfully to… (More)
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2006
2006
Many methods for motion computation and object tracking are based on the Lucas-Kanade (LK) framework. We present a method which… (More)
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