Android65's profile - activity

Hello,

For a university project we have to navigate a drone through a building using a grid of symbols varying in color and shape. The drone takes pictures every second in JPEG format.

To recognize the shapes and colors in the picture I was thinking about using a color filter, thus eliminating noise and identifying the color of the symbols. I read through some opencv tutorials and documentation and the general consensus suggested to convert the image to HSV and then applying a mask.

To tweak the color masks I wrote a simple GUI to adjust the mask values. I do not know what color space JPEG uses so I tried both "RGB2HSV" and "BGR2HSV" but both images do not look like the original image at all

This is the result using RGB2HSV, and this is BGR2HSV. None of these images look like the original (that I cannot upload for some reason)

I was wondering if this is normal, and if so which conversion is the correct one?

Hello,

I am working on a project involving a zeppelin that has to be able to navigate using a camera. The camera has to scan qr codes containing instructions (eg move x meters, rotate x degrees).

The TA's advised us to simply determine experimentally how much engine power we need to move a certain distance, but since we have a downwards pointing camera anyway I figured we could use image analysis to make our movements more exact.

I am looking for a way to estimate how much the camera has rotated between two pictures. I have looked through the documentation, but since I have no real experience in image processing it's quite overwhelming.

Preferably the method would also be able to account for small amounts of translation and height change of the camera.

Of course I'm not expecting anybody to give me a complete, ready to use method, but some pointers on what to look at first would be nice :)