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README.md
Azure Kinect Fastpointcloud Example
Introduction
The Azure Kinect Fastpointcloud example computes a 3d point cloud from a depth map. The example precomputes a lookup table by storing x- and y-scale factors for every pixel. At runtime, the 3d X-coordinate of a pixel in millimeters is derived by multiplying the pixel's depth value with the corresponding x-scale factor. The 3d Y-coordinate is obtained by multiplying with the y-scale factor.
This method represents an alternative to calling k4a_transformation_depth_image_to_point_cloud() and lends itself to efficient implementation on the GPU.
Usage Info
fastpointcloud.exe <output file>
Example:
fastpointcloud.exe pointcloud.ply