But in the correspondence step instead of making a hard correspondence we make a soft correspondence.

She, it turns out, has a non accredited correspondence course Ph.D. from somewhere in America.

That's called the correspondence problem.

There's something called a correspondence problem.

It is just that this correspondence over here is much stronger than the correspondence over here.

I have some correspondence to deal with.

In K means the correspondence is hard.

We have carried on a correspondence for years.

We will now talk about correspondence in stereo.

Which means there is not a 0, 1 correspondence.

She'll be seeing to your correspondence while Miss Cobb's away.

This pair of lovers were carrying on an ardent correspondence.

I saw a correspondence between riding the subway and reading.

I'd like to talk a little bit more about correspondence.

This segment is my explanation of correspondence in stereo vision.

Course by course

And this has to do with the soft versus hard nature of the correspondence.

You might remember our dynamic programming approach for resolving correspondence along an entire scan line.

Of course. Of course. ( dials )

Well of course, of course.

Yes, of course. Of course.

Course

Of course not, of course not.

UE Oh of course, of course.

Chosen course is already on course list.

Of course, of course, my dear fellow.

Of course, of course. Now get up.

They are somewhat similar, and they're not without problems, but both are being used to estimate correspondence.

I'd like to say a few words on the issue of correspondence, often also called data association.

Of course.

Of course!

Of course.

Of course.

Of course!

1st Course

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