code generation error with pointCloud object

Error: The library method 'vision.internal.buildable.ComputeMetricBuildable.updateBuildInfo' failed.

Caused by: Unable to determine MEX compiler: use mex -setup to configure your system.

I have checked with such compilers as mingw, VS 2019 and VS 2022. Code generation works fine for basic ros2 subscribers/publishers and other example codes I checked. For this case, I traced the error to the pointCloud object used in the function 'limit_FoV', why am I seeing this error? Is there a workaround for it?

function main_lidar_cg_Version1()

%#codegen

domainID = 0;

Name = "/trackingNode";

LidarTrackerNode = ros2node(Name, domainID);

lidar_sub = ros2subscriber(LidarTrackerNode, "/livox/lidar","sensor_msgs/PointCloud2",@mylidar_cb);

end

function mylidar_cb(message)

xyz = rosReadXYZ(message);

[pcSurvived,survivedIndices,croppedIndices] = limit_FoV (xyz);

end

function [pcSurvived,survivedIndices,croppedIndices] = limit_FoV (pointcloud_in)

% XLimits XLimits for the scene

XLimits = [0 30];

% YLimits YLimits for the scene

YLimits = [-6 6];

% ZLimits ZLimits fot the scene

ZLimits = [-2 2];

% EgoVehicleRadius Radius of ego vehicle

EgoVehicleRadius = 0;

currentPointCloud = pointCloud(pointcloud_in);

[pcSurvived,survivedIndices,croppedIndices] = cropPointCloud(currentPointCloud,XLimits,YLimits,ZLimits,EgoVehicleRadius);

end

function [ptCloudOut,indices,croppedIndices] = cropPointCloud(ptCloudIn,xLim,yLim,zLim,egoVehicleRadius)

% This method selects the point cloud within limits and removes the

% ego vehicle point cloud using findNeighborsInRadius

locations = ptCloudIn.Location;

locations = reshape(locations,[],3);

insideX = locations(:,1) < xLim(2) & locations(:,1) > xLim(1);

insideY = locations(:,2) < yLim(2) & locations(:,2) > yLim(1);

insideZ = locations(:,3) < zLim(2) & locations(:,3) > zLim(1);

inside = insideX & insideY & insideZ;

% Remove ego vehicle

nearIndices = findNeighborsInRadius(ptCloudIn,[0 0 0],egoVehicleRadius);

nonEgoIndices = true(ptCloudIn.Count,1);

nonEgoIndices(nearIndices) = false;

validIndices = inside & nonEgoIndices;

indices = find(validIndices);

croppedIndices = find(~validIndices);

ptCloudOut = select(ptCloudIn,indices);

end