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Introduction

Hello my name is Peter and I’m the new graphics and engine programmer. New is not really the correct word since I have been working at Frictional for a year now. During this time I have updated the engine and added a lot of new graphic features. This will be the first of my blog posts descripting the changes that have been made.


HDR


One of the biggest changes to the the new engine is the introduction of HDR (High Dynamic Range) Lighting. This is a technique to increase the detail of the lighting system. The benefit of using HDR is that bright things can be really bright, dark things can be really dark, and details can be seen in both.

In nature there is no limit to how bright something can be. The difference between a 60 W light bulb and sunshine hitting the earth is around 10 000 luminance (cd/m^2). This means that we need a way to store high intensity values while keeping the quality and precision of the dark areas. Thankfully there already exists a method for storing such values - by using floating point numbers.

We use a 16-bit fp RGBA buffer to store our lighting. This gives us enough of a dynamic range without taking up too much memory.


Tone mapping

A normal computer monitor can display 8-bit colors between the value of [0..1]. Because of this the monitor can not display a 16-bit HDR image directly. To be displayed the image will have to be converted to 8-bit while keeping as much of the details as possible.

Tone mapping is the process of converting an image of dynamic range to one with a clamped range between [0..1].

The simplest method for doing this is to use the Reinhard tone mapping algorithm.

vec3 color = x / (x + 1.0)

No matter how high x gets the final value will always stay between [0..1]. The problem with Reinhard is that it desaturates your dark colors and removes contrast. In the brighter parts of the image Reinhard produces great result with its soft highlights.

What you want to have is an algorithm that preserves the saturation of the color in the dark areas and that keeps as much of the contrast as possible.

I ended up choosing an algorithm created by John Hable for Uncharted 2.

vec3 Uncharted2Tonemap(vec3 x)
{
float A = 0.15;
float B = 0.50;
float C = 0.10;
float D = 0.20;
float E = 0.02;
float F = 0.30;

return ((x*(A*x+C*B)+D*E)/(x*(A*x+B)+D*F))-E/F;
}
Left: Long curve, Right: S-curve near dark values



This algorithm is based on a filmic tone mapping algorithm created by Kodak. It keeps the nice highlights from Reinhard while using a slightly S-shaped curve too keep the dark colors saturated.



Exposure

If you have been sitting in a dark room for some time and walk out into the sun, your eyes will not be ready for the bright light and you will have to squint. After a while your eyes will have adjusted to the light and it will not bother you anymore.

Exposure is a way to control the intensity of light that gets passed through the lens. In the eye this is controlled by the size of the pupil and in a camera it is done by selecting for how long the sensor should be active.

There are a few different ways to control exposure in a game. It can be controlled automatically by storing the average luminance over a few frames and calculating a exposure from that value.
We choose to go with a much simpler method that lets the artists control the exposure by dividing the level into areas that have different exposures. So in a dark area the exposure can be increased and in an outdoor area the exposure can be decreased.

vec3 color = Uncharted2Tonemap(scene_color * exposure)


White Point

A white point is used to increase the contrast of the image. This is the value that is selected to be the brightest any pixel can be. Pixels brighter than the white point will be clamped to 1.0.

vec3 color = Uncharted2Tonemap(scene_color * exposure) / Uncharted2Tonemap(white_point)

HDR Bloom

When a pixel is brighter than the white point it can be used to generate an additional post effect called HDR Bloom. Pixels that get too bright should start bleeding over to other nearby pixels, producing a halo around them. It is a subtle effect that adds realism to the image.

To solve this I use a few render passes. First a bright pass is applied to the image which removes all pixels that are below the white point and scales down all the pixels that are above it. The result is then blurred to create the halos. The blurred image is then added to the original image. The HDR Bloom effect must be performed before the tone mapping.


Final Thoughts

I would say that HDRL and filmic tone mapping is the most important part of any rendering pipeline. It greatly increases the quality of lighting and will make your game look much more realistic.

But HDR and tone mapping is all for nothing if your calculations are not done in linear color space. My next tech feature will focus on gamma correction and the linear color space.

References

When I thought that all problems with heightmaps was over, I stumbled upon something sort of tricky recently. The only thing I had left for heightmaps was to add physics to them. This seemed easy to do as it was basically just a matter of sending the raw heightmap data to the physics engine (newton game dynamics) However just as I had done this I realized that this was not enough: the terrain could have many different physical properties at different places (a spot with dirt, one with rock, etc).

The thing is that in physics simulations you give a material per shape, each material having certain properties (friction, etc) and special effects (sounds, etc). The heightmap is counted as a single shape, and thus it only has a single physics material. This was something I had totally forgotten. Luckily, the physics engine supports the assigning of special properties to each point in the heightmap. Once I found the proper info, it was pretty simple to add this (see here).

Now it was just a matter of adding extra material values to the heightmap (basically just an array of single integers, the id of the physics material at each point). My initial idea was that this could be "painted" on as an extra step, and to be sure I asked Jens what he thought about it. His reaction was that this would be way too much work and wondered if it could not be auto-generated instead. We already had a physics material assigned to each render material, so the basic info was easily accessible.

However, when I started to thinking about this, I found the actual auto-generation increasingly tricky. How should we determine which of the many blended materials to set the physics properties (blending was not possible)? Also, how do I get this information, considering that the blend textures can saved as compressed textures, into a CPU buffer?

The way we chose to solve the material picking was that the top visible (meaning over a certain limit opacity) blend material always sets the physics material. This allows map creators to set priority on materials in terms of physics, by simply placing them at different places among all blend materials. For example, if a material like gravel should also have its effects shown no matter what it is blended with, then it should be placed high up in the list. While currently untested this seem pretty nice and can also be tweaked a bit (like having something else determining priority).

The generation of this data was made by rendering the blend textures to an off-screen target and then grabbing the data into normal memory. What this meant is that the GPU would decompress any packed textures for us. This also solved some other problems, like the need to resize the texture according to heightmap resolution. Once the data is grabbed from the GPU it is just a matter to loop through it, check values and write to the final buffer.

Problem was finally solved and physics properties auto-generated!


With this little post I hope to show that there often is more to a problem than what is visible at first. Also, this shows another advantage of using normal texture splatting (more info here), instead of megatextures or similar. With the auto-generation of physics, it is much easier to create and update the terrain, something extremely important when you are a small team like us.

Would be very interesting what other techniques people use (or known of) for setting up physics properties on terrain!
Introduction
After a little break with updates on the rendering system, holidays and super secret stuff, I could finally get back to terrain rendering this week. This meant work on the final big part of the terrain system: Undergrowth. This is basically grass and any kind of small vegetation close to the ground.

As always, I started out doing a ton of research on the subject to at least have a chance of making proper decisions at the start. The problem with undergrowth/grass is that while I could find a lot of resources, most were quite specific, describing techniques that only worked in special cases. This is quite common when doing technical stuff for games; while there are a lot of nice information, only a very small part is usable in an actual game. This is especially true when dealing with any larger system (like terrain) and not just some localized special effect. In these cases reports from other developers are by far best, and writing these blog posts is partly a way to pay back what I have learned from other people's work.

Now on with the tech stuff!


Plant Placement Data
The first problem I was faced with was how to define where the undergrowth should be. In all of the resources I found, there was some kind of density texture used (meaning a 2D image where each pixel defines the amount of plants at that point). I did not like this idea very much though, mainly because I would be forced to have lots of textures, one for each undergrowth type, or to not allow overlapping plants (meaning the same area on the map would not be able to contain two different types of undergrowth). There are ways past this (e.g. the FrostBite engine uses sort of texture atlases), but then making it work inside the editor would be a pain, most likely demanding pre-processing and a special editor renderer. I had to do something else.

What I settled on was to use area primitives, simple geometrical shapes that defined where the undergrowth would be. The way this works is that each primitive define a 2D area were plants should be placed. It then also contains variables such as density, allowing one to place thick grass at one place, and a sparser area elsewhere.

I ended up implemented circle and convex polygons primitives for this, which during tests seem to work just fine.


Generating the Plants
The next problem was how generate the actual geometry. My first idea was to simply draw the grass for each area, but there were some problems with this. One major was that it would not look good with overlapping areas. If areas of the same density overlapped, the cross section would have twice the density of the combined area. This did not seem right to me. Also, it was problematic to get a nice distribution only using areas and I was unsure how to save the data.

Once again, the report on the FrostBite engine gave me an idea on how to approach this. They way they did this was to fill a grid a with probability values. For each grid point a random number between 0 and 1 is generated and then compared to to the one saved in the grid. If the generated number is lower than the saved, a plant is generated at that point, else not. Each plant is then offset by random amount, creating a nice uniform but random distribution of the plants!

This system fit perfect with the undergrowth areas and simplified it too. Using this approach, an undergrowth area does not need to worry about generating the actual plants, but only to generate numbers on the grid.

The final version works like this:

There is an undergrowth material for each type of plant that is used on a level. This material specifies the max density of each plant and thus determines how the grid should look. A material with a high density will have a grid with many points and one with a low density will have few grid points. Each point (not all of course, some culling is used) on the grid is checked against a area primitive and a value is calculated. This is then repeated for each area, adding contributions from all areas that cover the same grid point.

This solves the problem of overlapping areas, as the density can never become larger than max defined by the grid. It allows makes it possible to have negative areas, that reduce the amount of undergrowth in a certain place. This way, the two simple area primitives I have implemented can be used for just about any kind of undergrowth layout.


Cache system
Now it is time to discuss how to generate the actual plants. A way to do this is to just generate the geometry for the entire map, but that would take up way too much memory and be quite slow. Instead, I use a cache system that only generate grass close to the camera (this is also how FrostBite does it).

The engine divides the entire terrain into a grid of quads, and then generates cache data for each quad that is close enough to the camera. For each quad, it is checked what areas intersect with it, and layers are made for each undergrowth material that it contain. Then for each layer, plants are generated based on the method described above. The undergrowth material also contains texture and model data as well as a bunch of other properties. For example, the size can be randomized and different parts of the texture used, all to add some variety to the patch of undergrowth. Finally plant is also offset in height according to the heightmap.

This cache generation took quite some work to get good enough. I had problems with the game stuttering as you traveled through a level, and had to do various tricks to make it faster. I also made sure that no more than one patch is generated at each frame (unless the camera is teleported or similar).


Rendering
Once the cache system was in place, rendering the plants were not that much of a problem. Each generated patch comes with the grass in world coordinates, so it is as simple as it can get. The only fancy stuff happening is that grass in the distance is dissolved. This means that the grass does not end with a sharp border, but smoothly fades out.


In the above image you can see how the grass dissolves at distance. Here it looks pretty crappy, but with proper art, it is meant that grass and ground texture should match, thus making the transition pretty much unnoticeable.

Another thing worth mentioning, is that the normal for each grass model is the same as the ground. This gives a nice look to many plants, but an individual plant gets quite crappy shading. Undergrowth is meant to be small and not seen close-up though, so I think this should work out fine. Also, when making grass earlier (during development Amnesia), normal normals (ha...) were used and the result was quite bad (sharp shading, etc).


Animation
Static grass is boring, so of course some kind of animation is needed. What I wanted was two different kinds of animation: A global wind animation (unique for each material) and also local animation due to events in a limited area (someone walking through grass, wind from a helicopter, etc).

My first idea was to do all of these on the cpu, meaning that I would need to resend all the geometry to the graphics card each frame. This would allow me to use all kinds of fanciness for animation (like my dear noise and fractals) and would easily allow for lots of local disturbances.

However, I did some thinking and decided that this would be a bad idea. Not only does the sending of data to the graphics card take up time, but there might be some pretty heavy calculations needed (like rotating normals) for a lot plants, so the cpu burden would be very heavy. Instead I chose to do everything on the GPU.

Implementing the global wind animation was quite simple; i was just a matter of sending a few new variables to the grass shader. But it was a bit harder to come up with the actual algorithm. Perhaps I did not look hard enough, but I could find very little help on this area, so I had to do a lot of experimenting instead. The idea was to get something that was fast (i.e. no stuff like Perlin noise allowed) and yet have a natural random feel to it. What I ended up with was this:

add_x = vec3(7.0, 3.0, 1.0) * VertexPos.z * wind_freq + vec3(13.0, 17.0, 103.0);
offset.x = dot( vec3(sin(fT*1.13 + add_x.x), sin(fT*1.17 + add_x.y), sin(fT + add_x.y)), vec3(0.125, 0.25, 1.0) );

add_y = vec3(7.0, 3.0, 1.0) * (VertexPos..x + vOffset.x) * wind_freq + vec3(103.0, 13.0, 113.0);;
offset.y = dot( vec3(sin(fT*1.13 + add_y.x), sin(fT*1.17 + add_y.y), sin(fT + add_y.z)), vec3(0.125, 0.25, 1.0) );


This is basically a couple of fractually nested sin curves (fbm basically) that take the current vertex position as input. The important thing to note is the prime numbers such as vec3(7.0, 3.0, 1.0) without these the cycles of the sin curves overlap and the end result is a very cyclic, boring and unnatural look.

The offset generated is then applied differently depending on the height of the plant. There will be a lot of swaying at the top and none at the bottom. To do this the base y-coordinate of the plant is saved in a secondary texture coordinate and then looked up in the shader.

Now finally, the local animation. To do this entities called ForceFields are used. (Thanks Luis for the name suggestion! It made doing the boring parts so much more fun to make.) These are entities that come with a radius and a force value, and is meant to create effects on the graphics that they touch. Right now only grass is affected, but later on effects on ropes, cloth, larger plants , etc are meant to be added.

These effect of these are applied in the shader and currently I support a maximum of four ForceFields per cache patch. In the shader I either do none, a single entity or four at once. This means that if three entities affect a patch, I still render the outcome of four, but fill the last one's data with dummy (null) values. Using four is actually almost as fast as using a single. Because of how GPUs work, I can do a lot of work for all four entities in the same amount of instructions as for a single. This greatly cut down the amount of work that is needed.

Again, just like with the global wind, it was hard work to come up with a good algorithm for this. My first idea was to simply push each plant away from the center of the force field, but this looked really crappy. I then tried to add some randomness and animation to this in order to make it nicer. As inspiration, I looked at Titan Quest, which has a very nice effect when you walk through grass. After almost a days work the final algorithm look something like this:

fForce = 1 - distance(vtx_pos, force_field_pos)/force_field_radius

fAngle = T + rand_seed*6.28;
fForce *= sin(force_field_t + fAngle);

vDir = vec2(sin(fAngle), cos(fAngle));
vOffset.xz += vDir * fForce;


Rand seed is variable that is saved in the secondary texture coordinate and is generated for each plant. This helps gives more random and natural feel to it.

Here is how it all looks in action:


Note: Make sure to check in HD!

And in case you are wonder all of this is ugly, made in 10 seconds, graphics.


End notes
Now that undergrowth is finally done, it means that all basic terrain features are implemented! In case you have missed out on earlier post here is a summary:

Terrain Geometry
Fractals and Noise
Terrain Texturing

I hope this has been of use and/or interest to somebody! :)

Next up for me is some final terrain stuff (basically just some clean-up) and then I will move on to more gameplay related stuff. More on that later though...