Scattering

Rayleigh

Mie Haze

Mie Murky

Isotropic

Henyey Greenstein

Why are my clothes all over the place?

Broken formation. Razzledazzle.

The ground was littered with them.

It takes our data and returns a single number, which is the variance of the data.

Fragments of the mirror were scattered on the floor.

The Diet broke up in confusion.

It was perhaps eight feet tall, 40 feet long, and 10 feet wide.

You can see the individual structures of the woman.

We get Nσ² and bringing N to the right gives us σ.

So, the spread over here is much larger.

My dad owned an automotive and industrial repair shop.

Our entire assault fleet... wiped out by a rebel attack.

Here is a very elaborate data set of people of certain ages and their wages that they receive.

CDs were crashing around my head

There's dead bodies everywhere! Of course they're on a stakeout!

And the co variances to fall between negative one and positive one essentially to be correlations, alright.

I've given you the function mean that we've programmed before, and now you are to program the function variance.

From farther away, they may be no change in pixel location.

If your surface represents a shiny metal, you probably don't want a diffuse term.

We scatter dew and frost as we travel through the stars.

What does calculate the spread is called the variance.

The variance is a measure of how far the data is spread.

In a final exercise,

It is not a 1. That would mean there would be no spread on the data. They'd all line up nicely on the line.

The school was like a burial ground.

We found a couple of these_BAR_scattered among the bones in sites around the planet.

Let me just briefly summarize what we're doing.

The mean is obviously 25.

So keeping these formulas in mind, here's a quick quiz, which I ask you to actually calculate the mean and variance for a data sequence.

This is quite standard notation. Please get used to it and use it yourself.

Let's practice this. I'll give you a couple of quizzes now.

This is very standard linear algebra.

The best answer is to run scatterplots, and the reason is I taught you that you should always look at the data first before doing anything with the data.

See the additional course materials for more information. That said, the key factor here is scale.

In fact the diffuse component for all non metallic materials comes from subsurface scattering.

Just for the exercise of applying the formula, compute for me the mean and the variance.

BRDFs are just the start.

Turbulence. Turbulence.

break, break!