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» Robust Principal Component Analysis for Computer Vision
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CVPR
2007
IEEE
14 years 10 months ago
Feature Mining for Image Classification
The efficiency and robustness of a vision system is often largely determined by the quality of the image features available to it. In data mining, one typically works with immense...
Piotr Dollár, Zhuowen Tu, Hai Tao, Serge Be...
ICDAR
2003
IEEE
14 years 2 months ago
Segmentation of Bangla Unconstrained Handwritten Text
To take care of variability involved in the writing style of different individuals in this paper we propose a robust scheme to segment unconstrained handwritten Bangla texts into ...
U. Pal, Sagarika Datta
MVA
2007
211views Computer Vision» more  MVA 2007»
13 years 10 months ago
Vision-based UAV Navigation in Mountain Area
Most vision-based UAV (Unmanned Aerial Vehicle) navigation algorithms extract manmade features such as buildings or roads, which are well structured in urban terrain, using the CC...
Jihwan Woo, Kilho Son, Teng Li, Gwan Sung Kim, In-...
CVPR
2011
IEEE
13 years 2 months ago
A Two-Stage Reconstruction Approach for Seeing Through Water
Several attempts have been lately proposed to tackle the problem of recovering the original image of an underwater scene using a sequence distorted by water waves. The main draw...
Omar Oreifej, Guang Shu, Teresa Pace, and Mubarak ...
CRV
2011
IEEE
268views Robotics» more  CRV 2011»
12 years 8 months ago
Feature Tracking Evaluation for Pose Estimation in Underwater Environments
—In this paper we present the computer vision component of a 6DOF pose estimation algorithm to be used by an underwater robot. Our goal is to evaluate which feature trackers enab...
Florian Shkurti, Ioannis M. Rekleitis, Gregory Dud...