RANSAC-based algorithms are the standard techniques for robust estimatio...
We present an approach to estimating camera rotation in crowded, real-wo...
Previous incremental estimation methods consider estimating a single lin...
We propose three iterative methods for solving the Moser-Veselov equatio...
Humans tend to build environments with structure, which consists of main...
We propose a novel technique to register sparse 3D scans in the absence ...
Recovering the 3D structure of the surrounding environment is an essenti...
The 3D depth estimation and relative pose estimation problem within a
de...
Popular 3D scan registration projects, such as Stanford digital Michelan...
Pose estimation is one of the most important problems in computer vision...
3D scan registration is a classical, yet a highly useful problem in the
...
We present 3DRegNet, a deep learning algorithm for the registration of 3...
Pedestrian detection is one of the most explored topics in computer visi...
Straight lines are common features in human made environments. They are ...
We propose a minimal solution for pose estimation using both points and ...
A reliable estimation of 3D parameters is a must for several application...
Vanishing points and vanishing lines are classical geometrical concepts ...
This paper proposes a low-level visual navigation algorithm to improve v...
In this paper we analyze and compare approaches for 3D reconstruction fr...
This paper addresses the problem of finding the closest generalized esse...
In this article we purpose a novel method for planar pose estimation of
...
A given six dimensional vector represents a 3D straight line in Plucker...