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112
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ICPR
2008
IEEE
16 years 3 months ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
PLDI
1997
ACM
15 years 6 months ago
Dynamic Feedback: An Effective Technique for Adaptive Computing
This paper presents dynamic feedback, a technique that enables computations to adapt dynamically to different execution environments. A compiler that uses dynamic feedback produce...
Pedro C. Diniz, Martin C. Rinard
147
Voted
CGF
2010
198views more  CGF 2010»
15 years 2 months ago
Feature Preserving Mesh Generation from 3D Point Clouds
We address the problem of generating quality surface triangle meshes from 3D point clouds sampled on piecewise smooth surfaces. Using a feature detection process based on the cova...
Nader Salman, Mariette Yvinec, Quentin Méri...
ACCV
2007
Springer
15 years 8 months ago
Depth from Stationary Blur with Adaptive Filtering
This work achieves an efficient acquisition of scenes and their depths along long streets. A camera is mounted on a vehicle moving along a path and a sampling line properly set in ...
Jiang Yu Zheng, Min Shi
ACIVS
2008
Springer
15 years 8 months ago
Scene Reconstruction Using MRF Optimization with Image Content Adaptive Energy Functions
Multi-view scene reconstruction from multiple uncalibrated images can be solved by two stages of processing: first, a sparse reconstruction using Structure From Motion (SFM), and ...
Ping Li, Rene Klein Gunnewiek, Peter H. N. de With