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» Fusion Moves for Markov Random Field Optimization
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IJISTA
2008
99views more  IJISTA 2008»
13 years 7 months ago
Increasing depth lateral resolution based on sensor fusion
Abstract: Technologies for measuring range data were intensively developed in recent years. The time-of-flight matrix range sensor is one of the most active range acquisition devic...
W. Hannemann, André Linarth, B. Liu, Gabrie...
TSP
2010
13 years 2 months ago
Randomized and distributed self-configuration of wireless networks: two-layer Markov random fields and near-optimality
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
Sung-eok Jeon, Chuanyi Ji
CVPR
2011
IEEE
13 years 3 months ago
Object Stereo - Joint Stereo Matching and Object Segmentation
This paper presents a method for joint stereo matching and object segmentation. In our approach a 3D scene is represented as a collection of visually distinct and spatially cohere...
Michael Bleyer, Carsten Rother, Pushmeet Kohli, Da...
ICCV
2007
IEEE
14 years 1 months ago
Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Field
Abstract. We present a completely autonomous algorithm for the real-time creation of a moving subject’s kinematic model from optical motion capture data and with no a priori info...
Stjepan Rajko, Gang Qian
TSP
2008
101views more  TSP 2008»
13 years 7 months ago
Optimal Node Density for Detection in Energy-Constrained Random Networks
The problem of optimal node density maximizing the Neyman-Pearson detection error exponent subject to a constraint on average (per node) energy consumption is analyzed. The spatial...
Animashree Anandkumar, Lang Tong, Ananthram Swami