제 5 주 . Art and DesignComputer Animation: from Avatars to Unrestricted

Autonomous Actors

A. Pina, E. Cerezo and F. Seron, Computers & Graphics, vol. 24, pp. 297~311, 2000

학습목표Synthetic actor 의 motion 과 behavior 를 제어하기 위한

방법론들의 이해와 최근 연구동향 파악

개요 Synthetic actor

– Move and behave realistically in virtual environments

– Mechanics, Physics, Robotics, AI, A-life, Biology, Cognitive Sciences

Life-like representations in virtual worlds

– Humans, animals, animate objects

Classification

– Motion replication: capture of data from real actors, key frame, rotoscopy pure avatars or clones

– Behavior replication: physical algorithm, intelligent heuristic method unrestricted dependent actors

– Motion modeling autonomous actors

– Behavior modeling: perception-action schemes A-life complex methods unrestricted autonomous actors

Motion and Behavior Replication

Key-framing

– Interpolation law for in-betweening

Motion capture and rotoscopy

– Multiresolution filtering , multitarget interpolation, smoothing techniques

– Displacement functions

– Fourier developments

– Motion warping

– Contour tracking

Motion Modeling

Direct and inverse kinematics

– Human walking, different animal movements Direct and inverse dynamics

– Physically based modeling

– Simulation for great realism and automatic reaction

– Approaches to use dynamics

• Direct dynamcs

• Inverse dynamics

– Resolution schemes after motion equations

• Systems solved by integration

• Systems solved by non-linear optimization Genetic programming algorithms Sensor-actuator networks (SAN) Finite-state machines

Behavior Modeling

Main changes

– Animation based on scripts those where scripts are not needed

– Modular and distributed systems

– AI tools A-life elements

– Hierarchical structure from low, intermediate and high levels of animation

– Autonomous and adaptive actors

– Complex behavior emerges from simple behavior’s combination

Perception and action Software agents and A-life based systems

– Intelligent agents-based systems: production rules, fuzzy logic, genetic algorithms

– Neural networks-based systems

– Action selection mechanisms: dynamic in changing environments

Summary

Application areas

– Production animation, Interactive computer games

– Interactive digital television, Multimedia products, Simulations

– Computer-supported collaborative work, Agents

– Shared virtual environments

Research directions

– Real-time generation and control of synthetic characters

– Creating characters with individuality and personality

– Creating characters with emotional responses

– Generating population in interactive environments

– Implementing autonomous virtual actors

– Altering existing animation to produce different characteristics

Homework #3

Appendix 의 working groups 등의 웹사이트 29 (15+14) 중 3 개씩 각 사이트의 특징과 제공하는 package 등을 정리하시오 .

마감일 : 4/10