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IJRR
2006
119views more  IJRR 2006»
14 years 9 months ago
Predicting the Performance of Cooperative Simultaneous Localization and Mapping (C-SLAM)
In this paper we study the time evolution of the position estimates' covariance in Cooperative Simultaneous Localization and Mapping (C-SLAM), and obtain analytical upper boun...
Anastasios I. Mourikis, Stergios I. Roumeliotis
CVPR
2008
IEEE
15 years 11 months ago
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
André Zaccarin, Nicolas Martel-Brisson
ICCV
2001
IEEE
15 years 11 months ago
Markov Face Models
The spatial distribution of gray level intensities in an image can be naturally modeled using Markov Random Field (MRF) models. We develop and investigate the performance of face ...
Sarat C. Dass, Anil K. Jain
DATE
2009
IEEE
167views Hardware» more  DATE 2009»
15 years 4 months ago
Analyzing the impact of process variations on parametric measurements: Novel models and applications
Abstract—In this paper we propose a novel statistical framework to model the impact of process variations on semiconductor circuits through the use of process sensitive test stru...
Sherief Reda, Sani R. Nassif
ICPR
2002
IEEE
15 years 10 months ago
Face Detection and Synthesis Using Markov Random Field Models
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Sarat C. Dass, Anil K. Jain, Xiaoguang Lu