MATLAB: How to create 3d model of a large matrix

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I have an IR image loaded gimg with dimensions 720×1280 uint8 i want to extract depth data from this image let say that the value of each element goes from 0 to 200 where 200 equals 4m and 0 equals 0m. i want to create a point cloud data from this is it possible i was trying by using a binary 3d matrix with size 720x1280x200 how ever using isosurface is just crashing matlab

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[R, C, S] = find(IR_Image);
pc = pointCloud( [double(C(:)), double(R(:)), double(S(:)) .* (4/200)] );

This code assumes that value 0 should not show up

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MATLAB: How change Image/2d array proportions

Use imresize():

[rows, columns, numberOfColorChannels] = size(yourImage)
newWidth = round(columns * (210/25.4))
yourImage = imresize(yourImage, [rows, newWidth]);

MATLAB: Generate a point cloud from a given depth image-matlab Computer Vision System Toolbox

If all you have is a depth map, you cannot convert it into a point cloud, without knowing the parameters of the camera that was used to obtain it. depthToPointCloud needs a Kinect, because it assumes that the depth map came from the Kinect, and it uses Kinect's calibration parameters to get the 3D coordinates.

Alternatively, there is a reconstructScene function, which produces a point cloud from a stereo disparity map obtained from a calibrated stereo pair of cameras.

So, you would need to find out what device was used to generate your depth map, and what the parameters of that device are.

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Related Solutions

MATLAB: How change Image/2d array proportions

MATLAB: Generate a point cloud from a given depth image-matlab Computer Vision System Toolbox

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