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Camera Pose Estimation using CNN

2020 the 3rd International Conference on Control and Computer Vision, 2020
Estimating camera pose is a significant process, which assures the success of the 3D modeling performance. This research presents a camera pose estimation using convolutional neural network (CNN) to transfer learning from pre-trained deep learning VGG19 model in order to extract features from a single image using several datasets captured in indoor and
Bhattarabhorn Wattanacheep   +1 more
openaire   +1 more source

Hybrid Camera Pose Estimation

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
In this paper, we aim to solve the pose estimation problem of calibrated pinhole and generalized cameras w.r.t. a Structure-from-Motion (SfM) model by leveraging both 2D-3D correspondences as well as 2D-2D correspondences. Traditional approaches either focus on the use of 2D-3D matches, known as structure-based pose estimation or solely on 2D-2D ...
Federico Camposeco   +3 more
openaire   +1 more source

Study on Camera Pose Estimation

Applied Mechanics and Materials, 2014
A common need in photogrammetry, robotics and computer vision is performing camera pose estimation. A comparative analysis is presented here for three classical and representative algorithms, including direct linear transform (DLT), EPNP and Cayley method, each of which computes the translation and rotation matrix using non-iterative method with six or
Xiao Zhou Zhu, Xiao Qian Chen, Xin Song
openaire   +1 more source

Multi-camera head pose estimation

Machine Vision and Applications, 2012
Estimating people’s head pose is an important problem, for which many solutions have been proposed. Most existing solutions are based on the use of a single camera and assume that the head is confined in a relatively small region of space. If we need to estimate unintrusively the head pose of persons in a large environment, however, we need to use ...
Rafael Muñoz-Salinas   +3 more
openaire   +1 more source

Multiple nonoverlapping camera pose estimation

2010 IEEE International Conference on Image Processing, 2010
In this paper, we solve the pose estimation problem in real time using multiple nonoverlapping cameras and the Extended Kalman Filter (EKF). Four cameras arranged in two back-to-back pairs are put on the platform of a moving robot. The two axes passing through the camera centers of each pair are perpendicular.
M. E. Ragab, K. H. Wong
openaire   +1 more source

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