Computer Animation

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Credits
6
Types
Specialization complementary (Computer Graphics and Virtual Reality)
Requirements
This subject has not requirements, but it has got previous capacities
Department
CS
We introduce the essential tools for the animation of different objects, ranging from simple point particles to articulated humanoids. Continuous physically-based animation is compared to discrete, mainly rule based, animation in order to obtain a wide picture of the present animation methods. Character animation techniques are studied ranging from one character to large crowds.

Teachers

Person in charge

  • Antonio Susin Sanchez ( )

Others

  • Alejandro Beacco Porres ( )
  • Nuria Pelechano Gomez ( )

Weekly hours

Theory
2
Problems
0
Laboratory
2
Guided learning
0
Autonomous learning
2

Competences

Technical Competences of each Specialization

Computer graphics and virtual reality

  • CEE1.1 - Capability to understand and know how to apply current and future technologies for the design and evaluation of interactive graphic applications in three dimensions, either when priorizing image quality or when priorizing interactivity and speed, and to understand the associated commitments and the reasons that cause them.
  • CEE1.2 - Capability to understand and know how to apply current and future technologies for the evaluation, implementation and operation of virtual and / or increased reality environments, and 3D user interfaces based on devices for natural interaction.

Generic Technical Competences

Generic

  • CG1 - Capability to apply the scientific method to study and analyse of phenomena and systems in any area of Computer Science, and in the conception, design and implementation of innovative and original solutions.

Transversal Competences

Information literacy

  • CTR4 - Capability to manage the acquisition, structuring, analysis and visualization of data and information in the area of informatics engineering, and critically assess the results of this effort.

Basic

  • CB7 - Ability to integrate knowledges and handle the complexity of making judgments based on information which, being incomplete or limited, includes considerations on social and ethical responsibilities linked to the application of their knowledge and judgments.
  • CB9 - Possession of the learning skills that enable the students to continue studying in a way that will be mainly self-directed or autonomous.

Objectives

  1. When completing this course, students will understand the concepts behind animation and simulation in computer graphics applications. More specifically they will be able to understand and program algorithms for:
    Related competences: CB7, CB9, CTR4, CEE1.1, CEE1.2, CG1,
    Subcompetences:
    • Crowd simulation methods.
    • Navigation techniques to have multiple characters wandering virtual environments in real-time with different models that abstract away the geometry of the environment (roadmaps, cell and portal graphs, cellular automata)
    • Character animation (skin deformation, joints transformation to achieve animations, and real-time techniques for handling animation of multiple character).
    • Animation of rigid bodies, mass-spring models, and articulated chains.
    • Particle systems with collision detection and physical forces.

Contents

  1. Particle systems and collision handling
    Particles are introduced as the simplest animation objects. General features like state vector, forces, energies, numerical solvers, etc., are defined together with interactions (collisions) with other scene objects. Simulation examples are explosions, fireworks, smoke, fountains and rain.
  2. Mass-spring models
    The mass-spring model allow us to animate more complex objects built from interrelated particles. Definition of the internal deformation forces. Examples are combined in their 1-dim (rubber-band, rope, etc.), 2-dim (cloth, flags, curtains, etc.) and 3-dim (soft bricks, jelly, etc.).
  3. Rigid bodies and articulated chains.
    Animation of single rigid bodies (spheres, dice, etc.) and their interaction. Articulated rigid body chains. Interaction between solid and deformable objects.
  4. Navigation.
    Cell and portal graphs, path finding, roadmaps.
  5. Character Animation.
    Keyframing, skinning, motion capture and motion graphs.
  6. Crowd simulation.
    social forces, rule based models, cellular automatas, precomputed search trees.

Activities

Activity Evaluation act


Lectures

Material will be presented in lectures along the term.
  • Problems: Implementation of algorithms seen in the theory class to understand in depth the concepts behind animation in computer graphics applications

Theory
26h
Problems
0h
Laboratory
24h
Guided learning
0h
Autonomous learning
20h

Programming Assignment 1


Objectives: 1
Week: 8
Type: assigment
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
30h

Programming Assignment 2


Objectives: 1
Week: 15
Type: assigment
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
30h

Student Presentation

Student Presentation
Objectives: 1
Week: 14
Type: assigment
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
8h

Research publication report



Week: 17
Type: assigment
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
1h
Autonomous learning
7h

Attendance at other Student Presentations



Theory
3.5h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
0h

Teaching methodology

For this course the teacher provides theoretical lectures and materials (articles) for the students to read. During the lectures the students will learn the most important concepts regarding animation and simulation, and will receive advice and guidelines for the preparation and implementation of their programming projects.
During the laboratory classes, the students will receive further lectures focused on the relevant topics towards completing their programming projects, and will have time to work in the class being helped by the professor when needed.

Evaluation methodology

The course assessment is based on three types of activities:

- Projects: 90%
- Student presentation or Research report 10%

Bibliography

Basic:

Complementary:

Web links

Previous capacities

The course assumes advanced C++ programming skills, computer graphics, and Artificial Intelligence.

Addendum

Contents

NO HI HA CANVIS RESPECTE LA INFORMACIÓ PUBLICADA A LA GUIA DOCENT NO CHANGES REGARDING THE INFORMATION PUBLISHED IN THE TEACHING GUIDE

Teaching methodology

NO HI HA CANVIS RESPECTE LA INFORMACIÓ PUBLICADA A LA GUIA DOCENT NO CHANGES REGARDING THE INFORMATION PUBLISHED IN THE TEACHING GUIDE

Evaluation methodology

NO HI HA CANVIS RESPECTE LA INFORMACIÓ PUBLICADA A LA GUIA DOCENT NO CHANGES REGARDING THE INFORMATION PUBLISHED IN THE TEACHING GUIDE

Contingency plan

Es faran vídeos de les classes de teoria i es posaran els links al Racó. Per als Laboratoris, es resoldran dubtes via google meet. If face-to-face classes were not possible, then there will be videos of the classes available online. For the labs, questions will be answered with google meets during class hours.