![capturing reality stops working after activation capturing reality stops working after activation](https://i.ytimg.com/vi/SLGImZYy4aw/maxresdefault.jpg)
By dragging the mouse in the 3D view, you can see the object from different perspectives. This combines the depth data with the captured color information to generate a colored 3D point cloud. Next, switch to the 3D view in the top right corner: The depth view is color-coded to show the depth blue is closer to the camera red is farther away. After connecting the RealSense camera, switch on both the “Coded-Light Depth Sensor”, as well as the “RGB Camera” in the panel on the right to see the output of both in separate windows. The Intel SDK comes with a very intuitive sample app called Intel RealSense Viewer.
#Capturing reality stops working after activation how to#
Still, it’s interesting to see how to convert a 3D point cloud taken from one point of view to a 3D mesh for visualization. At the time of writing, the new SDK only comes with 5 quite simple C++ example apps. The old SDK included an example that was able to capture a whole 3D model by moving the camera around the object. Unfortunately, the new SDK is by far not as powerful as the previous version (yet?). For the SR300 depth camera and the new Intel® RealSense™ Depth Camera D400, Intel has released a completely rewritten SDK on GitHub. Intel has recently discontinued the RealSense SDK for Windows. Another option is visualization in 3D for AR / VR, where I’ll also cover how to preserve the vertex coloring from transferring the original point cloud to Unity. This mesh can then be exported to an STL file for 3D printing.
![capturing reality stops working after activation capturing reality stops working after activation](https://hbr.org/resources/images/article_assets/2017/10/R1706B_SPOT_1.png)
Next, I’ll convert the point cloud to a mesh using MeshLab. In this guide, I will demonstrate a quick method using the Intel RealSense camera to capture a point cloud. When dealing with Augmented and Virtual Reality, one of the most important tasks is capturing real objects and creating 3D models out of these.