A Computational Model for the Binocular Vector Disparity Estimation (Chessa & Solari 2018)

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Accession:245818
A biologically-inspired model of disparity estimation: we consider the disparity patterns that arise when artificial and living beings fixate objects in the surrounding environment, in these situations the disparity is a vector quantity (i.e. vertical and horizontal disparities).
Reference:
1 . Chessa M, Solari F (2018) A Computational Model for the Neural Representation and Estimation of the Binocular Vector Disparity from Convergent Stereo Image Pairs International Journal of Neural Systems 0:1850029
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s): Vision; Disparity estimation;
Implementer(s): Solari, Fabio [fabio.solari at unige.it]; Chessa, Manuela [manuela.chessa at unige.it];
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HVdisparity_code
README.html
demo.m
HV_disparity.m
LeftRightImages00.mat
screenshot.png
                            
%%% Example code for HV_disparity code
%%% v0.1
%%% 23/10/2018
%%%
%%% M.Chessa and F. Solari
%%% University of Genoa, ITALY
%%%
%%% manuela.chessa@unige.it
%%% fabio.solari@unige.it
%%%
%%% REF PAPER:
%%% M. Chessa,  F. Solari. 
%%% A Computational Model for the Neural Representation and Estimation of the 
%%% Binocular Vector Disparity from Convergent Stereo Image Pairs. 
%%% International Journal of Neural Systems, 28, art. no. 1850029, 2018
%%% DOI: https://doi.org/10.1142/S0129065718500296
%%%


n_scales =9;  %pyramidal scales
th=1e-4;      %V1 global energy threshold 
th2=2.54;     %V1 energy threshold 
n_filters=18; %spatial filer orientations
Dori=2;       %MT (disparity) directions


load LeftRightImages00

D = HV_disparity(II,n_scales,n_filters,th,th2,Dori);

figure,imagesc(II(:,:,1)),colormap gray, title('left image')
figure,imagesc(D(:,:,1)),colormap jet, title('horizontal disparity (estimated)')
figure,imagesc(D(:,:,2)),colormap jet, title('vertical disparity (estimated)')


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