Results 91 to 100 of about 9,486 (203)

Hybrid Focal Stereo Networks for Pattern Analysis in Homogeneous Scenes

open access: yes, 2013
In this paper we address the problem of multiple camera calibration in the presence of a homogeneous scene, and without the possibility of employing calibration object based methods.
A Wang   +21 more
core   +2 more sources

Pano‐Matching: Panoramic Local Feature Matching Using Interconnected Dynamic Transformer

open access: yesIET Image Processing, Volume 19, Issue 1, January/December 2025.
We propose a new panoramic detector‐free matching approach, called pano‐matching. Experimental results on multiple datasets show that pano‐matching achieves state of‐the‐art performances on feature matching and relative pose estimation among source code available methods.
Yali Xue   +4 more
wiley   +1 more source

Computing Epipolar Geometry from Unsynchronized Cameras

open access: yesIEICE Transactions on Information and Systems, 2007
Recently, many application systems have been developed by using a large number of cameras. If 3D points are observed from synchronized cameras, the multiple view geometry of these cameras can be computed and the 3D reconstruction of the scene is available. Thus, the synchronization of multiple cameras is essential.
Ying Piao, Jun Sato
openaire   +2 more sources

A case against epipolar geometry

open access: yes, 1994
We discuss briefly a number of areas where epipolar geometry is currently central in carrying out visual tasks. In contrast we demonstrate configurations for which 3D projective invariants can be computed from perspective stereo pairs, but epipolar geometry (and full projective structure) cannot.
Zisserman, A, Maybank, SJ
openaire   +2 more sources

Learning epipolar geometry from image sequences

open access: yes2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003
We wish to determine the epipolar geometry of a stereo camera pair from image measurements alone. This paper describes a solution to this problem, which does not require a parametric model of the camera system, and consequently applies equally well to a wide class of stereo configurations.
Wexler, Y, Fitzgibbon, AW, Zisserman, A
openaire   +1 more source

Visual SLAM based on semantic information and geometric constraints in dynamic environment

open access: yes智能科学与技术学报, 2023
Most existing visual SLAM systems assume that the external environment is static, ignoring the influence of dynamic objects on the SLAM system. This assumption largely affects the accuracy and robustness of autonomous navigation. To address this issue, a
LI Jiaming   +3 more
doaj  

Learning to Synthesize a 4D RGBD Light Field from a Single Image

open access: yes, 2017
We present a machine learning algorithm that takes as input a 2D RGB image and synthesizes a 4D RGBD light field (color and depth of the scene in each ray direction).
Ng, Ren   +4 more
core   +1 more source

ShapeFit and ShapeKick for Robust, Scalable Structure from Motion

open access: yes, 2016
We introduce a new method for location recovery from pair-wise directions that leverages an efficient convex program that comes with exact recovery guarantees, even in the presence of adversarial outliers.
F Kahl   +7 more
core   +1 more source

Propagation of an Earth-directed coronal mass ejection in three dimensions

open access: yes, 2010
Solar coronal mass ejections (CMEs) are the most significant drivers of adverse space weather at Earth, but the physics governing their propagation through the heliosphere is not well understood.
A Horwitz   +53 more
core   +1 more source

What Epipolar Geometry Can Do for Video-Surveillance [PDF]

open access: yes, 2013
In this paper we deal with the problem of matching moving objects between multiple views using geometrical constraints. We consider systems of still, uncalibrated and partially overlapped cameras and design a method able to automatically learn the epipolar geometry of the scene.
NOCETI, NICOLETTA   +2 more
openaire   +2 more sources

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