How to detection(tracking) WHITE Cube ?
I'm working on a method of detecting (tracking) white cubes in real time.
It will not be the time / capacity for deep learning, so we plan to implement it in a computer vision.
Do you know how to detect white cubes? My camera is Realsense.
I'll show you the model (picture) of the box I will use.
WHY did you choose a white cube to track ? that might be the worst kind of object for this, ever.
and what is the purpose of it all ?
I I have to use white to project to a projector. :( TOO HARD TO ME
I always think a white object is difficult to track for some reason: 1. white balance issue: the objects which we human kinds think it is white may be any color due to environment illumination. But the way you do the white balance may also affect the result of tracking. 2. grayscale issue: in HSV color space we always say the "white" means low S high V and any H , but in a real environment, it is hard to decide how low the S should be and how high the V should be.
give us a real-life photo of the cube you want to detect and track
BTW, Realsense is a depth camera and in depth image colors don't count. You might check the PCL library for object detection in 3D point clouds.