Translating depth data into useful range

Hi there,

I am trying to use the depth information provided by both a kinect and an orbbec femto mega. Below are two images of me standing in the same place. When I view the data stream in the sdk it looks like the colour image. Very sensitive, lots of range, lots of granularity in the data for perceiving depth. But when I view the same data stream in TD it is blown out in the background and I only have gradient in the first 1.5m or so. How do i get the depth info that the SDK can see? It exists in the point cloud, so its coming in to TD somehow…..

Hello,

It works as espected, as a 16 bits mono images, there is no nuanced colors!

To obtain colors:

  • a math to re-range the input values to 0-1
  • a lookup set to 8 bits RGBA with a ramp with your favourite colors

et voilĂ ,

Jacques

kinectColors.1.toe (3.7 KB)

2 Likes

Hey! I finally got around to trying this. It doesn’t work though. As you can see from your screenshot, your image has lots of different shades of grey, mine is only black and white, so there isn’t enough range in the input side for the lookup to change anything. It just changes the white do a different color

As I say everytime, it would be easier to help you if you post the part of your project as .tox. So much parameters are involved…