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» A visual odometry framework robust to motion blur
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ICRA
2009
IEEE
165views Robotics» more  ICRA 2009»
13 years 11 months ago
A visual odometry framework robust to motion blur
— Motion blur is a severe problem in images grabbed by legged robots and, in particular, by small humanoid robots. Standard feature extraction and tracking approaches typically f...
Alberto Pretto, Emanuele Menegatti, Maren Bennewit...
CVPR
2012
IEEE
11 years 7 months ago
Real-time 6D stereo Visual Odometry with non-overlapping fields of view
In this paper, we present a framework for 6D absolute scale motion and structure estimation of a multi-camera system in challenging indoor environments. It operates in real-time a...
Tim Kazik, Laurent Kneip, Janosch Nikolic, Marc Po...
ICCV
2011
IEEE
12 years 4 months ago
Blurred Target Tracking by Blur-driven Tracker
Visual tracking plays an important role in many computer vision tasks. A common assumption in previous methods is that the video frames are blur free. In reality, motion blurs are...
Yi Wu, Haibin Ling, Jingyi Yu, Feng Li, Xue Mei, E...
ICIP
2006
IEEE
14 years 6 months ago
Stereo Tracking and Three-Point/One-Point Algorithms - A Robust Approach in Visual Odometry
In this paper, we present an approach of calculating visual odometry for outdoor robots equipped with a stereo rig. Instead of the typical feature matching or tracking, we use an ...
Kai Ni, Frank Dellaert
ICRA
2005
IEEE
192views Robotics» more  ICRA 2005»
13 years 10 months ago
A Robust Visual Odometry and Precipice Detection System Using Consumer-grade Monocular Vision
– We describe a monocular robot vision system which accomplishes accurate 3-DOF dead-reckoning, closedloop motion control, and precipice and obstacle detection, all in dynamic en...
Jason Campbell, Rahul Sukthankar, Illah R. Nourbak...