CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
We present a new post-processing step to enhance the resolution of range images. Using one or two registered and potentially high-resolution color images as reference, we iterativ...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
The task of registering video frames with a static model is a common problem in many computer vision domains. The standard approach to registration involves finding point correspo...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
In object tracking, occlusions significantly undermine the performance of tracking algorithms. Unlike the existing methods that solely depend on the observed target appearance to ...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
A large family of algorithms for dimensionality reduction end with solving a Trace Ratio problem in the form of arg maxW Tr(WT SpW)/Tr(WT SlW)1 , which is generally transformed in...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
For video summarization and retrieval, one of the important modules is to group temporal-spatial coherent shots into high-level semantic video clips namely scene segmentation. In ...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
Discontinuity preserving filtering of images is an important low-level vision task. With the development of new imaging techniques like diffusion tensor imaging (DTI), where the d...