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Polarization-Based Illumination Detection for Coherent Augmented Reality Scene Rendering in Dynamic Environments Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Realistic Pedestrian Simulation Based on the Environmental Attention Model

Authors : Di Jiao, Tianyu Huang, Gangyi Ding, Yiran Du

Published in: Advances in Computer Graphics

Publisher: Springer International Publishing

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Abstract

This paper addresses the problem of crowd simulation while maintaining the attention behaviors. We set up an environmental attention model, which simulates various attention targets of virtual characters influenced by the surrounding environment. According to the investigation and analysis of crowd behaviors, the virtual character attention attributes are divided into the intrinsic attributes and the attention tendency. Based on the various environmental attributes and character attributes, the attention target of a virtual character can be calculated during the walk. Different attention targets lead to different moving heads’ behaviors of characters with different attributes. In this way, we implement the attention individualization of virtual characters, and thereby, improve the diversity of crowd animation.

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previous chapter GAN with Pixel and Perceptual Regularizations for Photo-Realistic Joint Deblurring and Super-Resolution
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Metadata
Title
Realistic Pedestrian Simulation Based on the Environmental Attention Model
Authors
Di Jiao
Tianyu Huang
Gangyi Ding
Yiran Du
Copyright Year
2019
Book
Advances in Computer Graphics

Print ISBN: 978-3-030-22513-1

Electronic ISBN: 978-3-030-22514-8

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-22514-8_37

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