Character navigation in dynamic environments based on optical flow

Steering and navigation are important components of character animation systems to enable them to autonomously move in their environment. In this work, we propose a synthetic vision model that uses visual features to steer agents through dynamic environments. Our agents perceive optical flow resulti...

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Vydané v:Computer graphics forum Ročník 38; číslo 2; s. 181 - 192
Hlavní autori: López, Axel, Chaumette, François, Marchand, Eric, Pettré, Julien
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Blackwell Publishing Ltd 01.05.2019
Wiley
Predmet:
Animation
CCS Concepts
Computer Science
Computer simulation
Computing methodologies → Modeling and simulation
Enhanced vision
Feature extraction
Graphics
Model development and analysis
Model verification and validation
Navigation
Object motion
Optical flow (image analysis)
Robotics
Software reviews
Steering
Task complexity
Visual perception
Animation
Modeling and simulation
Model verification and valida-tion
Model development and analysis
ISSN:0167-7055, 1467-8659
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Popis
Shrnutí:Steering and navigation are important components of character animation systems to enable them to autonomously move in their environment. In this work, we propose a synthetic vision model that uses visual features to steer agents through dynamic environments. Our agents perceive optical flow resulting from their relative motion with the objects of the environment. The optical flow is then segmented and processed to extract visual features such as the focus of expansion and time‐to‐collision. Then, we establish the relations between these visual features and the agent motion, and use them to design a set of control functions which allow characters to perform object‐dependent tasks, such as following, avoiding and reaching. Control functions are then combined to let characters perform more complex navigation tasks in dynamic environments, such as reaching a goal while avoiding multiple obstacles. Agent's motion is achieved by local minimization of these functions. We demonstrate the efficiency of our approach through a number of scenarios. Our work sets the basis for building a character animation system which imitates human sensorimotor actions. It opens new perspectives to achieve realistic simulation of human characters taking into account perceptual factors, such as the lighting conditions of the environment.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.13629