Octave 4.0.3: normxcorr2 producing unexpected result

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Octave 4.0.3: normxcorr2 producing unexpected result – Hi, I'm running Octave 4.0.3 from Debian jessie backports on a Raspberry Pi 3. Im currently following a computer vision course on Udacity and c...
Actually I'm also facing the same problem so can you please help in figuring this out. Udacity is using function index=find_template_1D(t,s) ...
This result looks mostly alright to me. For details please see the above discussion. Here follows a shorter summary. Octave code: clear pkg...
I think this won't be giving us the correct value for t=[1 1 1]........ Supreet Singh On Tue, Apr 18, 2017 at 11:34 PM, Hartmut [via Octav...
When you use t = [1 1 1] you will get only 0s as result. And this is also correct. Reason:The normalized cross correlation is also normalized t...
I think this worked thanks..... Supreet Singh On Wed, Apr 19, 2017 at 12:30 AM, Hartmut [via Octave] < ml-node+s1599824n4682910h71@......
Hey Manual, it is nice to hear that the Octave image toolbox is being used for a computer vision course on Udacity. Your image input s is 14...
I'm having the same issue. The expected values for the correlation are: But I am getting this as well: Columns 1 through 8: 1.000...
Hey Oli, the result of Octave's normxcorr2 (when using the previously mentioned patch in [1]) is fully Matlab compatible, except for the outer ...
Thanks Hartmut, The "expected result" comes from this video taken from the Computer Vision course on Udacity: https://youtu.be/9hN3M...
Hey Oli, I think the author in this video (and Udacity course) is just using a slightly outdated version of the Octave image package. Before im...
Ok thanks! I'll link to this conversation in the course forum in case anyone else is wondering. On Wed, Mar 29, 2017 at 12:02 PM, Hartmut [via...
Columns 1 through 8: > > 1.00000 -0.50000 -0.50000 -1.00000 -0.50000 0.00000 1.00000 > 0.86603 > > According to t...