Results 21 to 30 of about 20,190 (304)

Edge-Based Meta-ICP Algorithm for Reliable Camera Pose Estimation

IEEE Access, 2021
Camera pose estimation is crucial for 3D surface reconstruction and augmented reality applications. For systems equipped with RGB-D sensors, the corresponding transformation between frames can be effectively estimated using the iterative closest point ...
Chun-Wei Chen, Jonas Wang, Ming-Der Shieh   +2 more
doaj   +1 more source

Efficient generic calibration method for general cameras with single centre of projection [PDF]

, 2007
Generic camera calibration is a non-parametric calibration technique that is applicable to any type of vision sensor. However, the standard generic calibration method was developed with the goal of generality and it is therefore sub-optimal for the ...
John Mallon, Aubrey K. Dunne, Paul F. Whelan, Dunne, Aubrey K., Mallon, John, Whelan, Paul F.   +5 more
core   +1 more source

Direct Pose Estimation with a Monocular Camera [PDF]

, 2008
Robot Vision 2008, Auckland, New ...
Darius Burschka, Elmar Mair
openaire   +2 more sources

Spacecraft Pose Estimation Based on Different Camera Models

Chinese Journal of Mechanical Engineering, 2023
Spacecraft pose estimation is an important technology to maintain or change the spacecraft orientation in space. For spacecraft pose estimation, when two spacecraft are relatively distant, the depth information of the space point is less than that of the
Lidong Mo, Naiming Qi, Zhenqing Zhao
doaj   +1 more source

DiffPoseNet: Direct Differentiable Camera Pose Estimation

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Current deep neural network approaches for camera pose estimation rely on scene structure for 3D motion estimation, but this decreases the robustness and thereby makes cross-dataset generalization difficult. In contrast, classical approaches to structure from motion estimate 3D motion utilizing optical flow and then compute depth.
Chethan M. Parameshwara, Gokul Hari, Cornelia Fermüller, Nitin J. Sanket, Yiannis Aloimonos   +4 more
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Camera pose estimation using particle filters [PDF]

2011 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, Kavitha Muthukrishnan, Koen Langendoen   +2 more
openaire   +1 more source

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

Remote 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, Yuebo Ma, Rujin Zhao, Enhai Liu, Sikang Zeng, Jinhui Yi, Jian Ding   +6 more
doaj   +1 more source

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

Modeling, 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, Torbjørn Smith, Olav Egeland   +2 more
doaj   +1 more source

Combining Kinect and PnP for camera pose estimation [PDF]

2015 8th International Conference on Human System Interaction (HSI), 2015
This paper presents a novel method to conduct camera pose estimation though combining Kinect and Perspective-n-points algorithms. Most existing camera pose estimation methods suffer from the errors caused by inevitable outliers between 2D–3D correspondences.
Shu Zhang 0002, Hui Yu 0001, Junyu Dong, Ting Wang 0018, Lin Qi 0004, Honghai Liu 0001   +5 more
openaire   +3 more sources

Relative Pose Estimation For Stereo Rolling Shutter Cameras [PDF]

2020 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 ...
Ke Wang, Bin Fan 0002, Yuchao Dai
openaire   +2 more sources