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» A Simple Framework for Natural Animation of Digitized Models
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JVCA
2007
125views more  JVCA 2007»
13 years 6 months ago
Crowd motion capture
In this paper a new and original technique to animate a crowd of human beings is presented. Following the success of data-driven animation models (such as motion capture) in the c...
Nicolas Courty, Thomas Corpetti
ALS
2003
Springer
13 years 11 months ago
Towards a Four Factor Theory of Anticipatory Learning
This paper takes an overtly anticipatory stance to the understanding of animat learning and behavior. It analyses four major animal learning theories and attempts to identify the a...
Mark Witkowski
CCS
2007
ACM
14 years 16 days ago
A simple and expressive semantic framework for policy composition in access control
In defining large, complex access control policies, one would like to compose sub-policies, perhaps authored by different organizations, into a single global policy. Existing po...
Glenn Bruns, Daniel S. Dantas, Michael Huth
CA
1999
IEEE
13 years 10 months ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe
MSWIM
2005
ACM
13 years 12 months ago
Getting urban pedestrian flow from simple observation: realistic mobility generation in wireless network simulation
In order for precise evaluation of MANET applications, more realistic mobility models are needed in wireless network simulations. In this paper, we focus on the behavior of pedest...
Kumiko Maeda, Kazuki Sato, Kazuki Konishi, Akiko Y...