Open AccessJournal Article
Feature based methods for structure and motion estimation
Reads0
Chats0
TLDR
A brief overview of the use of feature-based methods in structure and motion computation can be found in this paper, where a companion paper by Irani and Anandan [16] reviews direct methods.Abstract:
This report is a brief overview of the use of “feature based” methods in structure and motion computation. A companion paper by Irani and Anandan [16] reviews “direct” methods.read more
Citations
More filters
Journal ArticleDOI
ORB-SLAM: A Versatile and Accurate Monocular SLAM System
TL;DR: ORB-SLAM as discussed by the authors is a feature-based monocular SLAM system that operates in real time, in small and large indoor and outdoor environments, with a survival of the fittest strategy that selects the points and keyframes of the reconstruction.
Journal ArticleDOI
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
TL;DR: A survival of the fittest strategy that selects the points and keyframes of the reconstruction leads to excellent robustness and generates a compact and trackable map that only grows if the scene content changes, allowing lifelong operation.
Proceedings Article
Recognising Panoramas
Matthew Brown,David G. Lowe +1 more
TL;DR: Object recognition techniques based on invariant local features to select matching images, and a probabilistic model for verification are used, which is insensitive to the ordering, orientation, scale and illumination of the images.
Proceedings ArticleDOI
Counting Crowded Moving Objects
Vincent Rabaud,Serge Belongie +1 more
TL;DR: This work bases its approach on a highly parallelized version of the KLT tracker in order to process the video into a set of feature trajectories and proposes a simple means of spatially and temporally conditioning the trajectories.
Proceedings ArticleDOI
Real-time image-based tracking of planes using efficient second-order minimization
Selim Benhimane,Ezio Malis +1 more
TL;DR: The aim of this paper is to propose a tracking algorithm based on a second-order minimization method which does not need to compute the Hessian.
References
More filters
Proceedings ArticleDOI
A Combined Corner and Edge Detector
Chris Harris,Mike Stephens +1 more
TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Book ChapterDOI
Hierarchical Model-Based Motion Estimation
TL;DR: In this paper, a hierarchical estimation framework for the computation of diverse representations of motion information is described, which includes a global model that constrains the overall structure of the motion estimated, a local model that is used in the estimation process, and a coarse-fine refinement strategy.
Journal ArticleDOI
Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency
Michal Irani,Shmuel Peleg +1 more
TL;DR: Accurate computation of image motion enables the enhancement of image sequences that include improvement of image resolution, filling-in occluded regions, and reconstruction of transparent objects.
Proceedings ArticleDOI
Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters
TL;DR: A self-calibration method is presented which efficiently deals with all kinds of constraints on the internal camera parameters and a practical method is proposed which can retrieve metric reconstruction from image sequences obtained with uncalibrated zooming/focusing cameras.
Journal ArticleDOI
A Maximum Likelihood Stereo Algorithm
TL;DR: Several variants of the algorithm are developed that avoid classical regularization while imposing several global cohesiveness constraints, and this is a novel approach that has the advantage of guaranteeing that solutions minimize the original cost function and preserve discontinuities.