24 lines
718 B
Markdown
24 lines
718 B
Markdown
# 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
|
|
```
|