120
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
An approach for fast tracking of arbitrary image features with no prior model and no offline learning stage is presented. Fast tracking is achieved using banks of linear displacem...
95
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
We present a novel approach to reconstruction based superresolution that explicitly models the detector's pixel layout. Pixels in our model can vary in shape and size, and th...
128
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
3?D shape recovery of non-rigid surfaces from 3?D to 2?D correspondences is an under-constrained problem that requires prior knowledge of the possible deformations. State-of-the-a...
104
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper, a new approach for object detection and pose estimation is introduced. The contribution consists in the conception of entities permitting stable detection and relia...
141
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
56
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
111
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
97
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper we propose a method for matching articulated shapes represented as large sets of 3D points by aligning the corresponding embedded clouds generated by locally linear ...
144
click to vote
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
This paper presents a method for scene flow estimation from a calibrated stereo image sequence. The scene flow contains the 3-D displacement field of scene points, so that the 2-D...