CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We present an autocalibration algorithm for upgrading a projective reconstruction to a metric reconstruction by estimating the absolute dual quadric. The algorithm enforces the ra...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
The fundamental matrix is a central construct in the analysis of images captured from a pair of cameras and many feature-based methods have been proposed for its computation. In t...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
This paper proposes a framework in which Lagrangian Particle Dynamics is used for the segmentation of high density crowd flows and detection of flow instabilities. For this purpos...
CVPR
2007
IEEE
14 years 9 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 9 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 9 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 9 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 9 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 ...