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» Graph-Theoretical Methods in Computer Vision
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CVPR
2001
IEEE
16 years 8 months ago
Navier-Stokes, Fluid Dynamics, and Image and Video Inpainting
Image inpainting involves filling in part of an image or video using information from the surrounding area. Applications include the restoration of damaged photographs and movies ...
A. L. Bertozzi, Guillermo Sapiro, Marcelo Bertalm&...
CVPR
2008
IEEE
16 years 8 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...
ICCV
2003
IEEE
16 years 8 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
HUC
2010
Springer
15 years 7 months ago
Tasking networked CCTV cameras and mobile phones to identify and localize multiple people
We present a method to identify and localize people by leveraging existing CCTV camera infrastructure along with inertial sensors (accelerometer and magnetometer) within each pers...
Thiago Teixeira, Deokwoo Jung, Andreas Savvides
CVPR
2007
IEEE
16 years 8 months ago
Discontinuity Preserving Filtering over Analytic Manifolds
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...
Raghav Subbarao, Peter Meer