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Determining optical flow

4
iSmail Durmaz
06-02-2002
02:40 PM ET (US)
Im looking for informations about optical flow.
Especialy for the navigation of indoor roboters.
It would be very great if can retrieve some links (for instance of publications).

Thank you all..
3
hemant muley
03-01-2002
11:51 AM ET (US)
I want the detail information of the 3D recovery by using the optiacl flow.please help me .This is something which is very important for me.
2
Hsin-Hao Yu
11-01-2001
05:15 AM ET (US)
An obvious problem with the flow field algorithm is the smoothness assumption. The world with multiple objects moving will certainly conflict with that assumption, and there are a lot of effort made in relexing the constraints. However, a funny thing is that the brain area that detect 2D movement (area MT) has very large receptive fields. Since MT neurons are integrating movements in a large area, MT representation is very smooth - much like the Horn paper. The puzzle is how can such a smooth representation be helpful at all to the visual system? Last time I checked there is no answer for that yet.
1
Dave KauchakPerson was signed in when posted
10-30-2001
02:09 AM ET (US)
I was a bit surprised at the lack of detail concerning the implementation, particularly the results, in the Lucas paper. After all the time spent deriving the system and the indepth explaination, I would have liked to get a slightly better feeling for how well the system worked.

Along these same lines, I also would have liked to have some more concrete examples of what applications this is commonly used.

I was also a bit surprised at how quickly the paper dismissed the idea of using segmentation to help results. However, upon further consideration, given the time that this paper is published, I think segmentation was no where near the performance that it is now (which is still by no means perfect).

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