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As shown in an example you gave in FLAT\kinect\list\test. According to my understanding, the images with labels that full, ideal, noise, reflection are depth map. The overall color difference between image with label noise and image with label reflection is due to the different scales. An image with label Base err is the difference between labeled depth map and depth groundtruth.
But by reading your released source code, I realize that ideal is the true raw measurement with 9 channels. So I want to ask the meaning of the four labels that full, ideal, noise, reflection. Thanks very much!
The text was updated successfully, but these errors were encountered:
I think you are basically right. The 'full' means depth recovered using raw measurements that contain shot noise and multi-path interference; the 'ideal' means depth recovered using raw measurements without shot noise or multi-path interference; the 'noise' means depth recovered using raw measurements with shot-noise only; and the 'reflection' means depth recovered using raw measurements with multi-path interference only.
As shown in an example you gave in FLAT\kinect\list\test. According to my understanding, the images with labels that full, ideal, noise, reflection are depth map. The overall color difference between image with label noise and image with label reflection is due to the different scales. An image with label Base err is the difference between labeled depth map and depth groundtruth.
But by reading your released source code, I realize that ideal is the true raw measurement with 9 channels. So I want to ask the meaning of the four labels that full, ideal, noise, reflection. Thanks very much!
The text was updated successfully, but these errors were encountered: