Omid, now it's clear, just a question
about your constant setting inside the code example TRGUESS and so on ..
If i have different type of face images can i use your settings or is possible to improved the recognition during the generation data ?
Thank's in advance
Great job, just one thing : I have try to use the sample code with the photo of they in your picture,but the saliency map is different respect your that i see on the, computer vision, great work, image descriptors, image processing, just one thing ihave try to use it just cat the photo of the lad, object recognition, saliency, why
hello, thanks for the code.,
it would be of great help,if you could send the edited copy of the same 'to save the values of displacement vs position'
to following address : firstname.lastname@example.org
Hi, Hoang, I'm a student from India. i'm working in the domain of acoustic source localization. i have gone though your code. I have a question: Why have you taken last samples in the computed cross correlation and attached in the beginning?
what purpose does it serve?
please let me know
hello, really appreciate for your work. I'm a student in Sheffield University.
i'm using your code for deformation measurement. I met some difficulties of extracting numerical data from the DIC result figure. could you help out? really thanks.
farah: Yes, you can use another set of images. You'll see that the images are read from disk at the start of the demo, and you can change those lines to read different images. However, it will be better in the end to write your own code to call correlCorresp rather than relying on the demo. If you are not sure how to proceed, you may need to work through "Getting Started with Matlab" in the documentation.
MD JAYED Hussan: The corresponding coordinates are held in the corresps property of a correlCorresp object, after a call to the findCorresps method. You can see how the vectors are computed by inspecting the code for correspDisplay. It's all in the documentation, by the way.