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» Computation Error Tolerance in Motion Estimation Algorithms
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MA
2010
Springer
172views Communications» more  MA 2010»
13 years 6 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
ICRA
2003
IEEE
126views Robotics» more  ICRA 2003»
14 years 1 months ago
Real-time tracking and pose estimation for industrial objects using geometric features
— This paper presents a fast tracking algorithm capable of estimating the complete pose (6DOF) of an industrial object by using its circular-shape features. Since the algorithm i...
Youngrock Yoon, Guilherme N. DeSouza, Avinash C. K...
ICCV
2003
IEEE
14 years 10 months ago
A Background Layer Model for Object Tracking Through Occlusion
Motion layer estimation has recently emerged as a promising object tracking method. In this paper, we extend previous research on layer-based tracker by introducing the concept of...
Yue Zhou, Hai Tao
ICAS
2009
IEEE
147views Robotics» more  ICAS 2009»
14 years 3 months ago
Fast Estimation of Aggregates in Unstructured Networks
Aggregation of data values plays an important role on distributed computations, in particular over peer-to-peer and sensor networks, as it can provide a summary of some global sys...
Carlos Baquero, Paulo Sérgio Almeida, Raque...

Book
5396views
15 years 7 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