Papers/Machine learning

Case study of depth image processing

tomato13 2015. 5. 8. 07:15

In case of depth image processing, noise removal is important. It may seem to be easy. But in my case, it was not. When I removed values more than 150, there was no noise. But in that case, low depth information was removed too. When I removed values than 180 or the upper, noise was not deleted perfectly. But I can extract depth value range exactly, I uses that way.