Project 4 : AnimatorAssigned : Monday, May 18th
Due : Monday, June 1st, 11:59 PM
Artifact Due : Wednesday, June 3rd, 9:00 AM
Help sessions (Graphics lab, Sieg 327):
Project TA : Alan Fineberg
In this project, you are required to extend a spline-based animation system to support multiple curve types, and implement a particle system simulation engine. After building a working system, you will use your (robust and powerful) program to produce a (compelling and arresting) animation.
The skeleton code provided is built on top of the same architecture as the Modeler, and is designed so that you can re-use your models. If you replace robotarm.cpp with a working model file from Project 2, you should be able to compile the program and play with the interface. As with the Modeler, this application has two windows: a viewer for the model, and a main window that allows you to manipulate the various model and camera parameters. If you click on the "Controls" tab in the main window, you will essentially get the Modeler interface, with sliders for controlling components of your character. The second mode, where you'll be spending most of your time, is the "Curves" mode. Curves mode is where you edit a time-varying curve for each model parameter by adding and moving control points. Selecting controls in the left-hand browser window brings up the corresponding curves in the graph on the right. Here, time is plotted on the x-axis, and the value of a given parameter is plotted on the y-axis. This graph display and interface is encapsulated in the GraphWidget class.
Here is a summary of the requirements for this project:
Some of these requirements are explained in greater detail below.
When we say "cubic beziers splined together with C0 continuity" it means that you'll need at least four control points to make a single bezier curve. Adjacent Bezier curves share control points so that the last control point of one Bezier curve will be the first control point of another. In this way you can have two complete Bezier curves with only 7 control points.
It is possible to make parametric curves that "double back" on themselves (x is not monotonically increasing as a function of t). It must be possible to interpret the curves that your solution produces as a function of time, so you'll have to think about and solve this case.
Two Distinct Forces
Create at least two distinct types of forces that act on your particle system. The three most obvious distinct forces are gravity (f=mg), viscous drag (f=-k_d*v), and Hooks spring law. Other interesting possibilities include electromagnetic force, simulation of flocking behavior, and buoyant force. If the forces you choose are complicated or novel (or listed in the Bells and Whistles) you may earn extra credit while simultaneously fulfilling this requirement.
Collision Detection & Response
Perform collision detection with your particles and at least one primitive in your scene. A natural choice is the ground plane of your scene. Your particles should bounce off of that primitive, and you should provide a control for the restitution constant that determines how much the normal component of the reflected velocity is attenuated.
In the skeleton code distribution, we've included the fluid file for the AnimatorUIWindows class (animatoruiwindows.fl). In addition, we've included the binary for fluid so that you can make additions to the UI if you want.
After selecting a series of model parameters in the browser window, their corresponding animation curves are displayed in the graph. Each spline is evaluated as a simple piece-wise linear curve that linearly interpolates between control points. You can manipulate the curves as follows:
|LEFT MOUSE||Clicking anywhere in the graph creates a control point for the selected curve. Control points can be moved by clicking on them and dragging.|
|CTRL LEFT MOUSE||Selects the curve|
|SHIFT LEFT MOUSE||Removes a control point|
|ALT LEFT MOUSE||Rubber-band selection of control points|
|RIGHT MOUSE||Zooms in X and Y dimensions|
|CTRL RIGHT MOUSE||Zooms into the rubber-banded space region|
|SHIFT RIGHT MOUSE||Pans the viewed region|
Note that each of the displayed curves has a different scale. Based on the maximum and minimum values for each parameter that you specified in your model file, the curve is drawn to "fit" into the graph. You'll also notice that the other curve types in the drop-down menu are not working. One part of your requirements (outlined below) is to implement these other curves.
At the bottom of the window is a simple set of VCR-style controls and a time
slider that let you play, pause, and seek in your animation. The
Camera motions can be edited in two ways:
The GraphWidget object owns a bunch of Curve objects. The Curve class is used to represent the time-varying splines associated with your model parameters. You don't need to worry about most of the existing code, which is used to handle the user interface. However, it is important that you understand the curve evaluation model. Each curve is represented by a vector of evaluated points.
The user of your program can manipulate the positions of the control points using the Graph Widget interface. Your code will compute the value of the curve at intervals in time, determining the shape of the curve. Given a set of control points, the system figures out what the evaluated points are.
This conversion process is handled by the CurveEvaluator member variable of each curve.
const CurveEvaluator* m_pceEvaluator;
In the skeleton, only the LinearCurveEvaluator has been implemented. Consequently, the curve drawn is composed of line segments directly connecting each control point. You should use the LinearCurveEvaluator as a model to implement the other required curve evaluators: Bezier, B-Spline, and Catmull-Rom. C2-Interpolating curves can be added for extra credit.
For each curve type, you must write a new class that inherits from CurveEvaluator. Inside the class, you should implement the evaluateCurve function. This function takes the following parameters:
ptvCtrlPts--a collection of control points that you specify in the curve editor
ptvEvaluatedCurvePts--a collection of evaluated curve points that you return from the function calculated using the curve type's formulas
fAniLength--the maximum time that a curve is defined
bWrap--a flag indicating whether or not the curve should be wrapped (wrapping can be implemented for extra credit)
To add a new curve
type, you should look in the GraphWidget constructor and change the
following lines to use your new set of evaluator classes.
= new LinearCurveEvaluator();
m_ppceCurveEvaluators[CURVE_TYPE_BEZIER] = new LinearCurveEvaluator();
m_ppceCurveEvaluators[CURVE_TYPE_CATMULLROM] = new LinearCurveEvaluator();
For Bezier curves (and the splines based on them), it is sufficient to sample the curve at fixed intervals of time. The adaptive de Casteljau subdivision algorithm presented in class may be implemented for an extra bell.
Catmull-Rom and B-spline curves should be endpoint interpolating. This can be done by doubling the endpoints for Catmull-Rom and tripling them for B-spline curves.
You do not have to sort the control points or the evaluated curve points. This has been done for you. Note, however, that for an interpolating curve (Catmull-Rom), the fact that the control points are given to you sorted by x does not ensure that the curve itself will also monotonically increase in x. You should recognize and handle this case appropriately. One solution is to return only the evaluated points that are increasing monotonically in x.
Also, be aware that the evaluation function will linearly interpolate between the evaluated points to ensure a continuous curve on the screen. This is why you don't have to generate infinitely many evaluated points.
The skeleton code has a very high-level framework in place for running particle simulations that is based on Witkin's Particle System Dynamics. In this model, there are three major components:
You are responsible for coming up with a representation for particles and forces. The skeleton provides a very basic outline of a simulation engine, encapsulated by the ParticleSystem class. Currently, the header file (ParticleSystem.h) specifies an interface that must be supported in order for your particle system to interact correctly with the animator UI. Alternately, you can try to figure out how the UI works yourself by searching within the project files for all calls to the particle system's functions, and then re-organizing the code. This second option may provide you with more flexibility in doing some very ambitious particle systems with extra UI support. However, the framework seems general enough to support a wide range of particle systems. There is detailed documentation in the header file itself that indicates what each function you are required to write should do. Note that the ParticleSystem declaration is by no means complete. As mentioned above, you will have to figure out how you want to store and organize particles and forces, and as a result, you will need to add member variables and functions.
One of the functions you are required to implement is called computeForcesAndUpdateParticles:
virtual void computeForcesAndUpdateParticles(float t);
This function represents the meat of the simulation solver. Here you will compute the forces acting on each particle and update their positions and velocities based on these forces using Euler's method. As mentioned above, you are responsible for modeling particles and forces in some way that allows you to perform this update step at each frame.
One requirement of your particle system is to attach it to a node of your model other than the root. This requires that you think carefully about about how to represent the positions of your particles.
Suppose you want to attach a particle shower to your model's hand. When you apply the force of gravity to these particles, the direction of the force will always be along the negative Y axis of the world. If you mistakenly apply gravity along negative Y of the hand's coordinate space, you'll see some funky gravity that depends on the orientation of the hand (bad!). To solve this problem, we recommend that you attach a particle emitter to the model's hand, but store all the particles positions as coordinates in world space. This means that you'll need to calculate the world coordinates of the particle emitter every time a particle is spawned.
Please read the following pseudocode, which contains an in-depth discussion of using particles in your hierarchy.
is used in the file above. We are also providing the C implementation for
Mat4f matMV(m, m, m, m,
m, m, m, m,
m, m, m, m,
m, m, m, m );
return matMV.transpose(); // because the matrix GL
returns is column major
In the sample robotarm.cpp file, there is a comment in the main function that indicates where you should create your particle system and hook it up into the animator interface. After creating your ParticleSystem object, you should do the following:
ParticleSystem *ps = new ParticleSystem();
// do some more particle system setup
You will eventually use your program to produce an animated artifact for this project (after the project due date – see the top of the page for artifact due date). Under the File menu of the program, there is a Save Movie As option, that will let you specify a base filename for a set of movie frames. Each frame is saved as a png or jpg. Use a program like Adobe Premiere (installed in the labs) to compress the frame into a video file. (See Quick Links for more detail.)
Each group should turn in their own artifact. We may give extra credit to those that are exceptionally clever or aesthetically pleasing. Try to use the ideas discussed in the John Lasseter article. These include anticipation, follow-through, squash and stretch, and secondary motion.
Finally, plan for your animation to be 30 seconds long (60 seconds is the absolute maximum). You will find this is a very small amount of time, so consider this when planning your animation. We reserve the right to penalize artifacts that go over the time limit and/or clip the video for the purposes of voting. Refer to this guide for creating your final .avi file.
Enhance the required spline options. Some of these will require alterations to the user interface, which involves learning Fluid and the UI framework. If you want to access mouse events in the graph window, look at the handle function in the GraphWidget class. Also, look at the Curve class to see what control point manipulation functions are already provided. These could be helpful, and will likely give you a better understanding of how to modify or extend your program's behavior. A maximum of 3 whistles will be given out in this category.
The linear curve code provided in the skeleton can be "wrapped," which means that the curve has C0 continuity between the end of the animation and the beginning. As a result, looping the animation does not result in abrupt jumps. You will be given a whistle for each (nonlinear) curve that you wrap.
Render a mirror in your scene. As you may already know, OpenGL has no built-in reflection capabilities. You can simulate a mirror with the following steps: 1) Reflect the world about the mirror's plane, 2) Draw the reflected world, 3) Pop the reflection about the mirror plane from your matrix stack, 4) Draw your world as normal. After completing these steps, you may discover that some of the reflected geometry appears outside the surface of the mirror. For an extra whistle you can clip the reflected image to the mirror's surface, you need to use something called the stencil buffer. The stencil buffer is similar to a Z buffer and is used to restrict drawing to certain portions of the screen. See Scott Schaefer's site for more information. In addition, the NeHe game development site has a detailed tutorial
Modify your particle system so that the particles' velocities gets initialized with the velocity of the hierarchy component from which they are emitted. The particles may still have their own inherent initial velocity. For example, if your model is a helicopter with a cannon launching packages out if it, each package's velocity will need to be initialized to the sum of the helicopter's velocity and the velocity imparted by the cannon.
Particles rendered as points or spheres may not look that realistic. You can achieve more spectacular effects with a simple technique called billboarding. A billboarded quad (aka "sprite") is a textured square that always faces the camera. See the sprites demo. For full credit, you should load a texture with transparency (sample textures), and turn on alpha blending (see this tutorial for more information). Hint: When rotating your particles to face the camera, it's helpful to know the camera's up and right vectors in world-coordinates.
Use the billboarded quads you implemented above to render the following effects. Each of these effects is worth one whistle provided you have put in a whistle worth of effort making the effect look good.
Use environment mapping to simulate a reflective material. This technique is particularly effective at faking a metallic material or reflective, rippling water surface. Note that OpenGL provides some very useful functions for generating texture coordinates for spherical environment mapping. Part of the challenge of this whistle is to find these functions and understand how they work.
Add baking to your particle system. For simulations that are expensive to process, some systems allow you to cache the results of a simulation. This is called "baking." After simulating once, the cached simulation can then be played back without having to recompute the particle properties at each time step. See this page for more information on how to implement particle baking.
Implement a motion blur effect (example). The easy way to implement motion blur is using an accumulation buffer - however, consumer grade graphics cards do not implement an accumulation buffer. You'll need to simulate an accumulation buffer by rendering individual frames to a texture, then combining those textures. See this tutorial for an example of rendering to a texture.
Euler's method is a very simple technique for solving the system of differential equations that defines particle motion. However, more powerful methods can be used to get better, more accurate results. Implement your simulation engine using a higher-order method such as the Runge-Kutta technique. ( Numerical Recipes, Sections 16.0, 16.1) has a description of Runge-Kutta and pseudo-code.
Implement adaptive Bezier curve generation: Use a recursive, divide-and-conquer, de Casteljau algorithm to produce Bézier curves, rather than just sampling them at some arbitrary interval. You are required to provide some way to change the flatness parameter and maximum recursion depth, with a keystroke or mouse click. In addition, you should have some way of showing (a printf statement is fine) the number of points generated for a curve to demonstrate your adaptive algorithm at work.
To get an extra whistle, provide visual controls in the UI (i.e. sliders) to modify the flatness parameter and maximum recursion depth, and also display the number of points generated for each curve in the UI.
Extend the particle system to handle springs. For example, a pony tail can be simulated with a simple spring system where one spring endpoint is attached to the character's head, while the others are floating in space. In the case of springs, the force acting on the particle is calculated at every step, and it depends on the distance between the two endpoints. For one more bell, implement spring-based cloth. For 2 more bells, implement spring-based fur. The fur must respond to collisions with other geometry and interact with at least two forces like wind and gravity.
Allow for particles to bounce off each other by detecting collisions when updating their positions and velocities. Although it is difficult to make this very robust, your system should behave reasonably.
Implement a "general" subdivision curve, so the user can specify an arbitrary averaging mask You will receive still more credit if you can generate, display, and apply the evaluation masks as well. There's a site at Caltech with a few interesting applets that may be useful.
Add a lens flare. This effect has components both in screen space and world space effect. For full credit, your lens flare should have at least 5 flare "drops", and the transparency of the drops should change depending on how far the light source is from the center of the screen. You do not have to handle the case where the light source is occluded by other geometry (but this is worth an extra whistle).
Perform collision detection with more complicated shapes. For complex scenes, you can even use the accelerated ray tracer and ray casting to determine if a collision is going to occur. Credit will vary with the complexity shapes and the sophistication of the scheme used for collision detection.
If you find something you don't like about the interface, or something you think you could do better, change it! Any really good changes will be incorporated into the next Animator. Credit varies with the quality of the improvement.
Add flocking behaviors to your particles to simulate creatures moving in flocks, herds, or schools. A convincing way of doing this is called "boids" (see here for a demo and for more information). For full credit, use a model for your creatures that makes it easy to see their direction and orientation (for example, the yellow/green pyramids in the boids demo would be a minimum requirement). For up to one more bell, make realistic creature model and have it move realistically according to its motion path. For example, a bird model would flap its wings when it rises, and hold it's wings outstretched when turning.
Implement a C2-Interpolating curve. There is already an entry for it in the drop-down menu.
Add the ability to edit Catmull-Rom curves using the two "inner" Bezier control points as "handles" on the interpolated "outer" Catmull-Rom control points. After the user tugs on handles, the curve may no longer be Catmull-Rom. In other words, the user is really drawing a C1 continuous curve that starts off with the Catmull-Rom choice for the inner Bezier points, but can then be edited by selecting and editing the handles. The user should be allowed to drag the interpolated point in a manner that causes the inner Bezier points to be dragged along. See PowerPoint and Illustrator pencil-drawn curves for an example.
Implement picking of a part in the model hierarchy. In other words, make it so that you can click on a part of your model to select its animation curve. To recognize which body part you're picking, you need to first render all body parts into a hidden buffer using only an emissive color that corresponds to an object ID. After modifying the mouse-ing UI to know about your new picking mode, you'll figure out which body part the user has picked by reading out the ID from your object ID buffer at the location where the mouse clicked. This should then trigger the GraphWidget to select the appropriate curve for editing. If you're thinking of doing either of the inverse kinematics (IK) extensions below, this kind of interface would be required.
If you implemented twist for your original model, the camera movement for your old modeler can give some unexpected results. For example, twist your model 90 degrees. Now try to do rotations as normal. This effect is called gimbal lock. Change the camera to use quaternions as a method for avoiding the gimbal lock.
Implement projected textures. Projected textures are used to simulate things like a slide projector, spotlight illumination, or casting shadows onto arbitrary geometry. Check out this demo and read details of the effect at glBase, and SGI.
An alternative way to do animations is to transform an already existing animation by way of motion warping (animations). Extend the animator to support this type of motion editing.
We've talked about rigid-body simulations in class. Incorporate this functionality into your program, so that you can correctly simulate collisions and response between rigid objects in your scene. You should be able to specify a set of objects in your model to be included in the simulation, and the user should have the ability to enable and disable the simulation either using the existing "Simulate" button, or with a new button.
The hierarchical model that you created is controlled by forward kinematics; that is, the positions of the parts vary as a function of joint angles. More mathematically stated, the positions of the joints are computed as a function of the degrees of freedom (these DOFs are most often rotations). The problem is inverse kinematics is to determine the DOFs of a model to satisfy a set of positional constraints, subject to the DOF constraints of the model (a knee on a human model, for instance, should not bend backwards).
This is a significantly harder problem than forward kinematics. Aside from the complicated math involved, many inverse kinematics problems do unique solutions. Imagine a human model, with the feet constrained to the ground. Now we wish to place the hand, say, about five feet off the ground. We need to figure out the value of every joint angle in the body to achieve the desired pose. Clearly, there are an infinite number of solutions. Which one is "best"?
Now imagine that we wish to place the hand 15 feet off the ground. It's fairly unlikely that a realistic human model can do this with its feet still planted on the ground. But inverse kinematics must provide a good solution anyway. How is a good solution defined?
Your solver should be fully general and not rely on your specific model (although you can assume that the degrees of freedom are all rotational). Additionally, you should modify your user interface to allow interactive control of your model though the inverse kinematics solver. The solver should run quickly enough to respond to mouse movement.
If you're interested in implementing this, you will probably want to consult the CSE558 lecture notes.
Create a character whose physics can be controlled by moving a mouse or pressing keys on the keyboard. For example, moving the mouse up or down may make the knees bend or extend the knees (so your character can jump), while moving it the left or right could control the waist angle (so your character can lean forward or backward). Rather than have these controls change joint angles directly, as was done in the modeler project, the controls should create torques on the joints so that the character moves in very realistic ways. This monster bell requires components of the rigid body simulation extension above, but you will receive credit for both extensions as long as both are fully implemented.. For this extension, you will create a hierarchical character composed of several rigid bodies. Next, devise a way user interactively control your character.
This technique can produce some organic looking movements that are a lot of fun to control. For example, you could create a little Luxo Jr. that hops around and kicks a ball. Or, you could create a downhill skier that can jump over gaps and perform backflips (see the Ski Stunt example below).
SIGGRAPH paper - http://www.dgp.toronto.edu/~jflaszlo/papers/sig2000.pdf
Several movie examples - http://www.dgp.toronto.edu/~jflaszlo/interactive-control.html
Ski Stunt - a fun game that implements this monster bell - Information and Java applet demo - Complete Game (win32)
If you want, you can do it in 2D, like the examples shown in this paper (in this case you will get full monster bell credit, but half credit for the rigid body component).