65 search results - page 2 / 13 » Vector field reconstruction from sparse samples with applica... |
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
TOG
2012
11 years 8 months ago
2012
Stochastic techniques for rendering indirect illumination suffer from noise due to the variance in the integrand. In this paper, we describe a general reconstruction technique tha...
CORR
2011
Springer
13 years 19 days ago
2011
Springer
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
VCIP
2001
13 years 7 months ago
2001
This paper describes a method for establishing dense correspondence between two images in a video sequence (motion) or in a stereo pair (disparity) in case of large displacements....
VISUALIZATION
1998
IEEE
13 years 10 months ago
1998
IEEE
We are interested in feature extraction from volume data in terms of coherent surfaces and 3-D space curves. The input can be an inaccurate scalar or vector field, sampled densely...