Results 21 to 30 of about 14,152 (262)

Improve the Estimation of Monocular Vision 6-DOF Pose Based on the Fusion of Camera and Laser Rangefinder

open access: yesRemote Sensing, 2021
Monocular vision is one of the most commonly used noncontact six-degrees-of-freedom (6-DOF) pose estimation methods. However, the large translational DOF measurement error along the optical axis of the camera is one of its main weaknesses, which greatly ...
Zifa Zhu   +6 more
doaj   +1 more source

Robust Camera Pose Estimation from Line Correspondences Using GNC [PDF]

open access: yesModeling, Identification and Control
A solution to the Perspective-n-Lines (PnL) problem is proposed where a large fraction of outliers can be handled. The approach estimates camera pose from 2D-3D line correspondences where outliers are in the form of line mismatches. The solution is based
Hans K.R. Holen   +2 more
doaj   +1 more source

An Accurate and Stable Pose Estimation Method Based on Geometry for Port Hoisting Machinery

open access: yesIEEE Access, 2019
As a visual measurement method, photogrammetry is widely used in engineering measurement fields. Photogrammetry must first complete camera pose estimation.
Qi Wang, Zhangyan Zhao
doaj   +1 more source

Guided Sparse Camera Pose Estimation

open access: yes, 2016
Proceedings; Oagm&Arw Joint Workshop 2016 On Computer Vision And Robotics 11Th–13Th May 2016, University Of Applied Sciences Upper Austria, Wels ...
Schenk, Fabian   +4 more
openaire   +3 more sources

Relative Pose Estimation For Stereo Rolling Shutter Cameras [PDF]

open access: yes2020 IEEE International Conference on Image Processing (ICIP), 2020
In this paper, we present a novel linear algorithm to estimate the 6 DoF relative pose from consecutive frames of stereo rolling shutter (RS) cameras. Our method is derived based on the assumption that stereo cameras undergo motion with constant velocity around the center of the baseline, which needs 9 pairs of correspondences on both left and right ...
Wang, Ke, Fan, Bin, Dai, Yuchao
openaire   +2 more sources

Validity of AI-Based Gait Analysis for Simultaneous Measurement of Bilateral Lower Limb Kinematics Using a Single Video Camera

open access: yesSensors, 2023
Accuracy validation of gait analysis using pose estimation with artificial intelligence (AI) remains inadequate, particularly in objective assessments of absolute error and similarity of waveform patterns.
Takumi Ino   +6 more
doaj   +1 more source

EKFPnP: extended Kalman filter for camera pose estimation in a sequence of images

open access: yesIET Image Processing, 2020
In real‐world applications the perspective‐n‐point (PnP) problem should generally be applied to a sequence of images which a set of drift‐prone features are tracked over time.
Mohammad Amin Mehralian, Mohsen Soryani
doaj   +1 more source

Camera pose estimation using particle filters [PDF]

open access: yes2011 International Conference on Indoor Positioning and Indoor Navigation, 2011
In this paper we propose a pose estimation algorithm based on Particle filtering which uses LED sightings gathered from wireless sensor nodes (WSN) to estimate the pose of the camera. The LEDs act as (visual) markers for our pose estimation algorithm. We also compare the performance of our pose estimation algorithm against two reference algorithms — (i)
Fernando Herranz   +2 more
openaire   +1 more source

Real-time camera pose estimation for sports fields [PDF]

open access: yesMachine Vision and Applications, 2020
Given an image sequence featuring a portion of a sports field filmed by a moving and uncalibrated camera, such as the one of the smartphones, our goal is to compute automatically in real time the focal length and extrinsic camera parameters for each image in the sequence without using a priori knowledges of the position and orientation of the camera ...
Leonardo Citraro   +8 more
openaire   +2 more sources

Event-Based Camera Tracker by ∇tNeRF

open access: yesIEEE Access, 2023
When a camera travels across a 3D world, only a fraction of pixel value changes; an event-based camera observes the change as sparse events. How can we utilize sparse events for efficient recovery of the camera pose?
Mana Masuda   +2 more
doaj   +1 more source

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