CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and pho...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
Much of the research on video-based human motion capture assumes the body shape is known a priori and is represented coarsely (e.g. using cylinders or superquadrics to model limbs...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
This paper proposes a method of automated individualization of eye region model. The eye region model has been proposed in past research that parameterizes both the structure and ...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
This paper investigates the impact of pixel-level fusion of videos from visible (VIZ) and infrared (IR) surveillance cameras on object tracking performance, as compared to trackin...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
This paper details an empirical study of large image sets taken by static cameras. These images have consistent correlations over the entire image and over time scales of days to ...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
: This paper proposes a novel algorithm for calibrated multi-view stereopsis that outputs a (quasi) dense set of rectangular patches covering the surfaces visible in the input imag...
CVPR
2007
IEEE
15 years 5 days ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...