ICCV
2007
IEEE
15 years 11 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...
ICCV
2007
IEEE
15 years 11 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...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
103
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ICCV
2007
IEEE
15 years 11 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...
85
Voted
ICCV
2007
IEEE
15 years 11 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 ...
76
Voted
ICCV
2007
IEEE
15 years 11 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 ...
107
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ICCV
2007
IEEE
15 years 11 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...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper, we propose a non-stationary stochastic filtering framework for the task of albedo estimation from a single image. There are several approaches in literature for alb...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
The way catadioptric images are acquired implies that they present radial distortions. Therefore, classical processing may not be suitable. This statement will be illustrated by c...