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» Programmable motion effects
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CVPR
2010
IEEE
12 years 6 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
APGV
2006
ACM
103views Visualization» more  APGV 2006»
14 years 3 months ago
Perception of image motion during head movement
Previous studies have shown that self-motion has an inhibiting effect on concurrent 3D motion perception. To investigate whether self-motion similarly impairs concurrent image mot...
Li Li, Bernard D. Adelstein, Stephen R. Ellis
CVPR
2003
IEEE
14 years 11 months ago
Transforming Camera Geometry to A Virtual Downward-Looking Camera: Robust Ego-Motion Estimation and Ground-Layer Detection
This paper presents a robust method to solve the two coupled problems: ground layer detection and vehicle egomotion estimation, which appear in visual navigation. We virtually rot...
Qifa Ke, Takeo Kanade
CVPR
2006
IEEE
14 years 11 months ago
Real-Time Visual SLAM with Resilience to Erratic Motion
Simultaneous localisation and mapping using a single camera becomes difficult when erratic motions violate predictive motion models. This problem needs to be addressed when visual...
Mark Pupilli, Andrew Calway
CVGIP
2006
106views more  CVGIP 2006»
13 years 9 months ago
Precomputing avatar behavior from human motion data
Creating controllable, responsive avatars is an important problem in computer games and virtual environments. Recently, large collections of motion capture data have been exploite...
Jehee Lee, Kang Hoon Lee