[Numpy-discussion] Help with interpolating missing values from a 3D scanner
David Bolme
bolme1234@comcast....
Thu Jan 15 16:55:38 CST 2009
I am working on a face recognition using 3D data from a special 3D
imaging system. For those interested the data comes from the FRGC
2004 dataset. The problem I am having is that for some pixels the
scanner fails to capture depth information. The result is that the
image has missing values. There are small regions on the face such as
eyebrows and eyes that are missing the depth information. I would
like to fill in these region by interpolating from nearby pixels but I
am not sure of the best way to do that.
I currently have two arrays:
* floating point array with depth information (missing data is encoded
as a large negative number -999999.0)
* boolean array that is a missing data mask
I have some ideas on how to solve this problem but I am hoping that
someone on this list may have more experience with this type of
missing data problem.
* Are there any utilities in scipy/numpy designed for this type of
missing data problem?
* If not does any one have suggestions on how I should proceed?
More information about the Numpy-discussion
mailing list