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» PAMPAS: Real-Valued Graphical Models for Computer Vision
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CVPR
2007
IEEE
16 years 3 hour ago
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
Liang Wang, David Suter
CA
1999
IEEE
15 years 2 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
ISVC
2007
Springer
15 years 4 months ago
Blur in Human Vision and Increased Visual Realism in Virtual Environments
Abstract. A challenge for virtual reality (VR) applications is to increase the realism of an observer’s visual experience. For this purpose the variation of the blur an observer ...
Michael S. Bittermann, I. Sevil Sariyildiz, Ö...
ACCV
1998
Springer
15 years 2 months ago
Image-Based Geometrically-Correct Photorealistic Scene/Object Modeling (IBPhM): A Review
There are emerging interests from both computer vision and computer graphics communities in obtaining photorealistic modeling of a scene or an object from real images. This paper p...
Zhengyou Zhang
VR
2010
IEEE
188views Virtual Reality» more  VR 2010»
14 years 8 months ago
Illuminating the past: state of the art
Virtual reconstruction and representation of historical environments and objects have been of research interest for nearly two decades. Physically-based and historically accurate ...
Jassim Happa, Mark Mudge, Kurt Debattista, Alessan...