Hello,
To improve the speed of importing point cloud data from a binary file, instead of reading each data point individually. You can read larger chunks of the data at once to reduces the overhead of the repeated function.
Additionally, you can utilize the MATLAB's ability to handle operations on entire arrays at once, rather than iterating through elements with loops.
Below is a code snippet which uses larger chunks of data at once and pre-allocates the arrays:-
if (temp.nPoint > 0)
% Preallocate arrays
temp.indexes = zeros(temp.nPoint, 1, 'int32');
temp.user_indexes = zeros(temp.nPoint, 1, 'int8');
temp.points = zeros(temp.nPoint, 3, 'int16');
% Batch read all data at once
temp.indexes = fread(file_id, temp.nPoint, '*int32');
temp.user_indexes = fread(file_id, temp.nPoint, '*int8');
temp.points = fread(file_id, [3, temp.nPoint], '*int16')';
end
For more information, refer to the following MathWorks Documentation:
“fread” function:
