PointOutNet uses 19 convolutional layers to predict 3D point clouds from single 2D images, achieving 1.72mm average error on 609 right ventricle experiments, comparable to prior two-stage methods.
https://uk.mathworks.com/matlabcentral/fileexchange/ 41396-nonrigidicp (2016), accessed: 2019-04-02
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One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud
PointOutNet uses 19 convolutional layers to predict 3D point clouds from single 2D images, achieving 1.72mm average error on 609 right ventricle experiments, comparable to prior two-stage methods.