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» A computational framework for incremental motion
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151
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CA
1999
IEEE
15 years 7 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
154
Voted
CGF
2006
115views more  CGF 2006»
15 years 3 months ago
Reflected-Scene Impostors for Realistic Reflections at Interactive Rates
We present a technique for rendering reflections on complex reflectors at interactive rates based on approximating the geometry of the reflected scene with impostors. The reflecti...
Voicu Popescu, Chunhui Mei, Jordan Dauble, Elisha ...
VC
2010
217views more  VC 2010»
15 years 1 months ago
Solving the Shallow Water equations using 2D SPH particles for interactive applications
In this paper, we introduce a 2D particle-based approach to achieve realistic water surface behaviors for interactive applications. We formulate 2D particle-based Shallow Water equ...
Hyokwang Lee, Soonhung Han
ICCV
2011
IEEE
14 years 3 months ago
Double Window Optimisation for Constant Time Visual SLAM
We present a novel and general optimisation framework for visual SLAM, which scales for both local, highly accurate reconstruction and large-scale motion with long loop closures. ...
Hauke Strasdat, Andrew J. Davison, J. M. M. Montie...
ICIP
2006
IEEE
16 years 5 months ago
Lucas-Kanade without Iterative Warping
Many methods for motion computation and object tracking are based on the Lucas-Kanade (LK) framework [1]. We present a method which substantially speeds up the LK approach while p...
Alex Rav-Acha, Shmuel Peleg