Virtual Crowds: Steps Toward Behavioral Realism (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging)

Mubbasir Kapadia, Nuria Pelechano, Jan Allbeck

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商品描述

This volume presents novel computational models for representing digital humans and their interactions with other virtual characters and meaningful environments. In this context, we describe efficient algorithms to animate, control, and author human-like agents having their own set of unique capabilities, personalities, and desires. We begin with the lowest level of footstep determination to steer agents in collision-free paths. Steering choices are controlled by navigation in complex environments, including multi-domain planning with dynamically changing situations. Virtual agents are given perceptual capabilities analogous to those of real people, including sound perception, multi-sense attention, and understanding of environment semantics which affect their behavior choices. The roles and impacts of individual attributes, such as memory and personality are explored. The animation challenges of integrating a number of simultaneous behavior and movement demands on an agent are addressed through an open source software system. Finally, the creation of stories and narratives with groups of agents subject to planning and environmental constraints culminates the presentation.

商品描述(中文翻譯)

本卷介紹了用於表示數位人類及其與其他虛擬角色和有意義環境互動的新型計算模型。在這個背景下,我們描述了高效的演算法,以動畫、控制和創作擁有自己獨特能力、個性和欲望的人類代理。首先,我們從最低層級的腳步決定開始,以引導代理沿著無碰撞的路徑行進。引導選擇由在複雜環境中的導航控制,包括在動態變化情況下的多領域規劃。虛擬代理被賦予類似於真實人類的感知能力,包括聲音感知、多感官注意力和對環境語義的理解,這些都影響他們的行為選擇。我們探討了個別屬性(如記憶和個性)的角色和影響。通過一個開源軟體系統,解決了在代理上整合多個同時行為和運動需求的動畫挑戰。最後,創作受規劃和環境限制的代理群體故事和敘事,為本次介紹畫下句點。