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rigid-transform-based lucas–kanade (gradient descent) image registration algorithm  (MathWorks Inc)


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    Structured Review

    MathWorks Inc rigid-transform-based lucas–kanade (gradient descent) image registration algorithm
    Rigid Transform Based Lucas–Kanade (Gradient Descent) Image Registration Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/rigid+transformation+algorithm/pmc08406438-55-18-27
    Average 90 stars, based on 1 article reviews
    rigid-transform-based lucas–kanade (gradient descent) image registration algorithm - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Produced:

    Article Title: Dynamic Visual Cues for Differentiating Mirror and Glass
    Article Snippet: We estimated the optic flows from each pair of frames of the video stimuli using the Lucas-Kanade method in the MATLAB Computer Vision Toolbox.


    Article Title: Spontaneous Recurrent Absence Seizure-like Events in Wild-Caught Rats
    Article Snippet: Motion across successive frames of video (recorded simultaneously with the ECoG) was quantified using the Lucas-Kanade method of optical flow analysis (Barron et al., 1994) (MATLAB Computer Vision System Toolbox, The MathWorks).

    Article Title: Living myofibroblast–silicon composites for probing electrical coupling in cardiac systems
    Article Snippet: The optical flow was estimated with the Lucas–Kanade method as implemented in the MATLAB Image Processing Toolbox (The MathWorks).

    Article Title: Hippocampal-like network dynamics underlie avian sharp wave-ripples
    Article Snippet: The “Lucas-Kanade” method for optic flow estimation (part of the Computer Vision Toolbox for Matlab) was used to determine the optical flow vectors of the video data.

    Article Title: Spontaneous Recurrent Absence Seizure-like Events in Wild-Caught Rats
    Article Snippet: Motion across successive frames of video (recorded simultaneously with the ECoG) was quantified using the Lucas-Kanade method of optical flow analysis ( Barron et al., 1994 ) (MATLAB Computer Vision System Toolbox, The MathWorks).

    Article Title: Calcium imaging analysis – how far have we come?
    Article Snippet: Two correction methods have been produced for in vivo imaging in awake rodents, one based on the rigid-transform-based Lucas–Kanade (gradient descent) ( ) image registration algorithm using MathWorks® MATLAB platform , the other using a Hidden Markov Model ( Dombeck et al. , 2007 ).

    Article Title: Quantitative analysis of plant ER architecture and dynamics
    Article Snippet: A number of different methods are available in the software that draw from the MATLAB ® Computer Vision Toolbox including Horn–Schunck , Lucas–Kanade and Farnebäck .

    In Vivo Imaging:

    Article Title: Dynamic Visual Cues for Differentiating Mirror and Glass
    Article Snippet: We estimated the optic flows from each pair of frames of the video stimuli using the Lucas-Kanade method in the MATLAB Computer Vision Toolbox.


    Article Title: Spontaneous Recurrent Absence Seizure-like Events in Wild-Caught Rats
    Article Snippet: Motion across successive frames of video (recorded simultaneously with the ECoG) was quantified using the Lucas-Kanade method of optical flow analysis (Barron et al., 1994) (MATLAB Computer Vision System Toolbox, The MathWorks).

    Article Title: Living myofibroblast–silicon composites for probing electrical coupling in cardiac systems
    Article Snippet: The optical flow was estimated with the Lucas–Kanade method as implemented in the MATLAB Image Processing Toolbox (The MathWorks).

    Article Title: Hippocampal-like network dynamics underlie avian sharp wave-ripples
    Article Snippet: The “Lucas-Kanade” method for optic flow estimation (part of the Computer Vision Toolbox for Matlab) was used to determine the optical flow vectors of the video data.

    Article Title: Spontaneous Recurrent Absence Seizure-like Events in Wild-Caught Rats
    Article Snippet: Motion across successive frames of video (recorded simultaneously with the ECoG) was quantified using the Lucas-Kanade method of optical flow analysis ( Barron et al., 1994 ) (MATLAB Computer Vision System Toolbox, The MathWorks).

    Article Title: Calcium imaging analysis – how far have we come?
    Article Snippet: Two correction methods have been produced for in vivo imaging in awake rodents, one based on the rigid-transform-based Lucas–Kanade (gradient descent) ( ) image registration algorithm using MathWorks® MATLAB platform , the other using a Hidden Markov Model ( Dombeck et al. , 2007 ).

    Article Title: Quantitative analysis of plant ER architecture and dynamics
    Article Snippet: A number of different methods are available in the software that draw from the MATLAB ® Computer Vision Toolbox including Horn–Schunck , Lucas–Kanade and Farnebäck .



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