Ok thanks anyway! Let me know if you find out anything regarding this issue.
Regards
Thomas
From: Deqiang Xiao [mailto:[email protected]]
Sent: Dienstag, 8. Januar 2013 14:58
To: Kilgus, Thomas
Cc: [email protected]
Subject: Re: [mitk-users] Camera intrinsic parameters in
mitkToFDistanceImageToPointSetFilter.cpp of ToFProcessing module
Dear Kilgus,
Thank you very much for your quick reply! I will do an experiment with default
parameters as you suggested. For the third question, I have to say that I never
do any experiment for it and maybe I'm wrong, so I'm sorry I can not offer any
information to prove my opinion. Thank you very much!
Regards,
Deqiang
2013/1/8 Kilgus, Thomas
<[email protected]<mailto:[email protected]>>
Hi Deqiang,
To 1): The current default parameters in the mitkToFDistanceImageToXXXFilter
are parameters for the PMD CamCube Camera. You are absolutely right, that they
don't fit to the Kinect and you have to adapt them. In my experience, the
Kinect comes with an accurate default calibration. You could just use freely
available parameters, like the one from Nicolas Burrus:
http://nicolas.burrus.name/index.php/Research/KinectCalibration. Attention: We
use the stereo calibration from OpenNI. That means the distance image is
already in the RGB-image-space and you have to use the RGB-intrinsics (not the
IR-intrinsics!). We are working on a default calibration file for all available
cameras which would solve this problem. Hopefully, we will manage this feature
for the next release.
To 2): Yes, we use the stereo calibration from OpenNI. Pixel indices should be
the same, however, only for a default Kinect calibration. Your personal Kinect
device can be slightly different. This should not be a big deal, but is
depending on your application and your desired accuracy.
To 3): In principle, you need camera intrinsics to perform 3D reconstruction of
Time-of-Flight data. I am currently trying to figure out whether this is true
or not for the Kinect in combination with OpenNI. Do you have any information
(e.g. URL) to prove your point? I did an experiment where I measured a Lego
Phantom with the Kinect and compared it to ground truth. My results are always
better when I used the RGB-Intrinsics to reconstruct the 3D surface. Could you
tell me how exactly you would perform the 3D reconstruction assuming you use
OpenNI? Looking at the book "Hacking the Kinect" the reconstruction is
performed without any intrinsics (see chapter 7, "Moving from depth map to
point cloud"), however, they are not using OpenNI. I could not find any good
source, yet, which tells if OpenNI needs this conversion or not. I just have
better results when I use the intrinsics. Any help of yours is appreciated.
(see for "Hacking the Kinect"
http://books.google.de/books?id=IftkzqRjbO4C&pg=PA130&lpg=PA130&dq=kinect+depth+image+to+point+cloud+pinhole+camera+model&source=bl&ots=XuWzUbeny6&sig=3kAaHm5_Z02Yj3Ft7PybAJauYOM&hl=en&sa=X&ei=pue4UMKtLof1sgar-YCgBQ&ved=0CEgQ6AEwBA#v=onepage&q&f=true)
Regards,
Thomas
Thomas Kilgus
German Cancer Research Center (DKFZ)
Div. Medical and Biological Informatics
Junior group: Computer-assisted Interventions (E131)
Im Neuenheimer Feld 280
69120 Heidelberg, Germany
Phone: +49(0) 6221-42-3545
From: Deqiang Xiao [mailto:[email protected]<mailto:[email protected]>]
Sent: Dienstag, 8. Januar 2013 14:04
To: [email protected]<mailto:[email protected]>
Subject: [mitk-users] Camera intrinsic parameters in
mitkToFDistanceImageToPointSetFilter.cpp of ToFProcessing module
Dear all,
My current work is based on MITK ToFUtil with kinect for windows and I have
read most part of related code in ToFUtil, then I get three question about this
plug-in:
1) Where are the camera intrinsic parameters in
mimitkToFDistanceImageToPointSetFilter.cpp\mitkToFDistanceImageToSurfaceFilter.cpp(..\MITK\Modules\ToFProcessing\)
from? If this camera intrinsic parameters are not fit for kinect, the
calibration for IR camera of kinect is need or not?
2) Do rgb image and ir image have been calibrated in ToFUtil?(If they are
calibrated, two pixels which have the same coordinate index in rgb image and ir
image correspond the same point in physical space)
3) Why the camera intrinsic parameters are used in 3D reconstruction from depth
image?(In my opinion, 3D reconstruction based on depth image doesn't need
camera intrinsic parameters)
Any help is appreciated!
Regards,
Deqiang
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