JMLR
2010
13 years 7 months ago
2010
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
PAMI
2002
14 years 2 days ago
2002
IVC
2007
14 years 10 days ago
2007
In natural scene, text elements are corrupted by many types of noise, such as streaks, highlights, or cracks. These effects make the clean and automatic segmentation very difficu...
ECCV
2006
Springer
14 years 4 months ago
2006
Springer
In many image analysis applications there is a need to extract curves in noisy images. To achieve a more robust extraction, one can exploit correlations of oriented features over a...
ICCV
1999
IEEE
14 years 4 months ago
1999
IEEE
We describe an effective and novel approach to infer sign and direction of principal curvatures at each input site from noisy 3D data. Unlike most previous approaches, no local su...
CVPR
2003
IEEE
14 years 5 months ago
2003
IEEE
A “graphics for vision” approach is proposed to address the problem of reconstruction from a large and imperfect data set: reconstruction on demand by tensor voting, or ROD-TV...
VLSM
2005
Springer
14 years 6 months ago
2005
Springer
In this paper we propose a surface reconstruction method for highly noisy and non-uniform data based on minimal surface model and tensor voting method. To deal with ill-posedness, ...
DSSCV
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. Several image processing algorithms imitate the lateral interaction of neurons in the visual striate cortex V1 to account for the correlations along contours and lines. H...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper presents a new GPU-based tensor voting implementation which achieves significant performance improvement over the conventional CPU-based implementation. Although the t...
WACV
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper we present a novel vision-based system for automatic detection and extraction of complex road networks from various sensor resources such as aerial photographs, sate...