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Essential matrix

In computer vision, the essential matrix is a matrix, , with some additional properties described below, which relates corresponding points in stereo… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
In this paper, we propose to exploit the epipolar geometry for dynamic pose-estimation of mobile robots. This is performed using… 
2009
2009
Extracting 3D structure from two views is a flourishing subject in computer vision literature. In 1981 Longuet-Higgins introduces… 
2008
2008
Abstract. This article focuses on the practical problems emerged during the development of anindoor helicopter model, and both… 
2006
2006
GOODSAC is a paradigm for estimation of model parameters given measurements that are contaminated by outliers. Thus, it is an… 
2006
2006
The geometry of multiple images has been a standard topic in De- scriptive Geometry and Photogrammetry (Remote Sensing) for more… 
2004
2004
In this paper camera parameters are assumed to be known and a novel approach for essential matrix estimation is presented. We… 
2003
2003
We introduce robust technique based on RANSAC for simultaneous estimation of central omnidirectional camera (view angle above 180… 
2002
2002
Rechargeable battery systems and rechargeable battery system operational methods are described. According to one aspect, a… 
1990
1990
  • S. Maybank
  • 1990
  • Corpus ID: 11934003
We use essential matrices to show that if the recovery of camera displacement from image correspondences is unstable, then a…