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» Algorithmic issues in modeling motion
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VR
2003
IEEE
267views Virtual Reality» more  VR 2003»
15 years 9 months ago
An Experiment Comparing Double Exponential Smoothing and Kalman Filter-Based Predictive Tracking Algorithms
We present an experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms with derivative free measurement models. Our results show t...
Joseph J. LaViola Jr.
CVPR
2003
IEEE
16 years 5 months ago
Adaptive View-Based Appearance Models
We present a method for online rigid object tracking using an adaptive view-based appearance model. When the object's pose trajectory crosses itself, our tracker has bounded ...
Louis-Philippe Morency, Ali Rahimi, Trevor Darrell
IVC
2007
124views more  IVC 2007»
15 years 3 months ago
Outlier rejection in high-dimensional deformable models
Deformable model tracking is a powerful methodology that allows us to track the evolution of high-dimensional parameter vectors from uncalibrated monocular video sequences. The co...
Christian Vogler, Siome Goldenstein, Jorge Stolfi,...

Book
5396views
17 years 2 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
ATAL
2010
Springer
15 years 5 months ago
Modeling collision avoidance behavior for virtual humans
In this paper, we present a new trajectory planning algorithm for virtual humans. Our approach focuses on implicit cooperation between multiple virtual agents in order to share th...
Stephen J. Guy, Ming C. Lin, Dinesh Manocha