We saw left feature number 1.

Describe the level characteristics

Let me use lowercase x to denote the input variables often also called the features.

For a different configuration let's now assume we get to see 1, 2, 3 in camera B, and we care about the feature indices we see in camera A that corresponds to those features over here.

And a social movement is comprised, in my view, it's comprised of four main characteristics.

Uh...

So what are these characteristics that I'm talking about?

All three features can be scene by both cameras.

All right? But now we get into some harder questions.

Machine, there will be a neat mathematical trick that will allow a computer to deal with an infinite number of features.

There'sbeen a massive explosion in midcity washington.

They are usually localizable, like corners are.

Well, and you're glad I didn't show you this.

And you should observe, that the perceived order of features in the scene, by virtue of using a pinhole, will be inverted inside the pinhole camera.

You spend more time with your parents.

This is an image I took a while back in Amsterdam, and it's interesting because there's a lot of interesting features

Typically a dozen or so will suffice to make a face completely reconstructable, which means you've just mapped a 2500 dimensional feature space into a, perhaps, 12 dimensional feature space on which we can now learn much, much easier.

And I did. We started to redesign them, one by one.

Finalmente, estudios han demostrado que las personas enamoradas tienen bajos niveles de serotonina.

I barely know it.

We're human, that's what we do. It's one of our features.

So we can say that a state is this collection of Feature 1, Feature 2, and so on.

He look familiar to you?

We talked about invariances, the type of things that affect the appearance of a feature in the camera image, and we went through methods for extracting edges, for extracting corners, and for extracting fairly sophisticated features like SlFT features.

We looked through the video for other clues.

One of the most common ones is happiness and pleasure.

And the people who said, Yeah, yeah.

Eh, I never get around to brushing and flossing as much as I should, they were characterized as low efficacy.

Essentially the key poses are similar to key frames to interpolate between. By changing the amount of influence a particular target has affects the result.

So the idea was to take a handheld camera and move it around a 3D structure and be able to recover or estimate the 3D coordinates of all the features in the world based on many 2D images.

And a miracle berry, if you're not familiar with it, is a natural ingredient, and it contains a special property.

Let's study the first case.

They really loved it.

And three, biological sex, the physical characteristics you were born with.

We have a second camera over here, camera B, a pinhole camera which can see the same features.

Selam unites us all and gives us a unique account on what makes us human.

By combining both of them, we get a gradient s l magnet? image, and we have our very first feature detector, which is a feature detector of any edge in the image.

But we have this persistent confusion between objectivity and subjectivity as features of reality and objectivity and subjectivity as features of claims.

(Laughter)

These are the features numbers.

If we take away the streets, and if we take away the buildings, and if we take away the open spaces, then we could take this map.

Suppose in camera A we see from left to the right the following sequence 1, 2, 3.

And if you've ever been on a camel, it is a very, very uncomfortable ride.

That means that we have depth. If we have depth then essentially we have shape as a feature which can be used for recognition.

That is I want to find sales and ,marketing, and engineering processes that are repeatable.