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» An algorithmic framework for network reconstruction
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ICASSP
2007
IEEE
14 years 3 months ago
An Adaptive Algorithm for Sampling Two-Dimensional Fields using Mobile Sensors
In this paper, we propose an adaptive algorithm for sampling and reconstructing two-dimensional fields using mobile sensors that can move to designated locations to collect measu...
Huiyu Luo, Xiangming Kong, Gregory J. Pottie
CVPR
2007
IEEE
14 years 7 months ago
Simultaneous Depth Reconstruction and Restoration of Noisy Stereo Images Using Non-local Pixel Distribution
In this paper, we propose a new algorithm that solves both the stereo matching and the image denoising problem simultaneously for a pair of noisy stereo images. Most stereo algorit...
Yong Seok Heo (Seoul National University), Kyoung ...
ICPR
2010
IEEE
13 years 7 months ago
Face Recognition At-A-Distance Using Texture, Dense and Sparse-Stereo Reconstruction
This paper introduces a framework for long-distance face recognition using dense and sparse stereo reconstruction, with texture of the facial region. Two methods to determine corr...
Ham Rara, Asem Ali, Shireen Elhabian, Aly A. Farag
TIP
2010
108views more  TIP 2010»
13 years 7 months ago
Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing
Abstract—In this paper, we introduce a reconstruction framework that explicitly accounts for image geometry when defining the spatial interaction between pixels in the filterin...
Noura Azzabou, Nikos Paragios, Frederic Guichard
ICPR
2004
IEEE
14 years 10 months ago
An Energy Minimisation Approach to Stereo-Temporal Dense Reconstruction
We propose a novel energy minimisation framework for the dense reconstruction of stereo image sequences that incorporates data fidelity as well as spatial and temporal regularity....
Ben Appleton, Brian C. Lovell, Carlos Leung, Chang...