Results 31 to 40 of about 14,152 (262)

Lane Detection-based Camera Pose Estimation

open access: yesTransactions of the Korean Society of Automotive Engineers, 2015
Abstract : When a camera installed on a vehicle is used, estimation of the camera pose including tilt, roll, and pan angle with respect to the world coordinate system is important to associate camera coordinates with world coordinates. Previous approaches using huge calibration patterns have the disadvantage that the calibration patterns are costly to ...
Ho Gi Jung, Jae Kyu Suhr
openaire   +2 more sources

LightHand99K: A Synthetic Dataset for Hand Pose Estimation With Wrist-Worn Cameras

open access: yesIEEE Access
Although hand-pose estimation using external camera systems has made significant progress driven by large annotated datasets, wrist-worn camera-based hand-pose estimation offers unique advantages owing to its ability to capture nearby images.
Jeongho Lee   +5 more
doaj   +1 more source

Accurate Line-Based Relative Pose Estimation With Camera Matrices

open access: yesIEEE Access, 2020
While most monocular structure-from-motion frameworks rely on sparse keypoints, it has long been acknowledged that lines represent an alternative, higher-order feature with high accuracy, repeatability, and abundant availability in man-made environments.
Peihong Yu   +4 more
doaj   +1 more source

Accuracy Evaluation of 3D Pose Estimation with MediaPipe Pose for Physical Exercises

open access: yesCurrent Directions in Biomedical Engineering, 2023
With the recent increase in interest in machine learning and computer vision, camera-based pose estimation has emerged as a promising new technology.
Dill Sebastian   +6 more
doaj   +1 more source

A Review of Recurrent Neural Network Based Camera Localization for Indoor Environments

open access: yesIEEE Access, 2023
Camera localization involves the estimation of the camera pose of an image from a random scene. We used a single image or sequence of images or videos as the input. The output depends on the representation of the scene and method used.
Muhammad Shamsul Alam   +3 more
doaj   +1 more source

Regression-based Hand Pose Estimation from Multiple Cameras [PDF]

open access: yes2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006
The RVM-based learning method for whole body pose estimation proposed by Agarwal and Triggs is adapted to hand pose recovery. To help overcome the difficulties presented by the greater degree of self-occlusion and the wider range of poses exhibited in hand imagery, the adaptation proposes a method for combining multiple views.
De Campos, TE, Murray, DW
openaire   +3 more sources

Real-Time Reinforcement Learning for Optimal Viewpoint Selection in Monocular 3D Human Pose Estimation

open access: yesIEEE Access
Monocular 3D human pose estimation (HPE) presents an inherently ill-posed challenge, complicated by issues such as depth ambiguity and uncertainty. Estimating 3D poses with a single camera heavily depends on viewpoint, resulting in poor pose estimation ...
Sanghyeon Lee   +2 more
doaj   +1 more source

Model-Based 3D Pose Estimation of a Single RGB Image Using a Deep Viewpoint Classification Neural Network

open access: yesApplied Sciences, 2019
This paper presents a model-based approach for 3D pose estimation of a single RGB image to keep the 3D scene model up-to-date using a low-cost camera. A prelearned image model of the target scene is first reconstructed using a training RGB-D video. Next,
Jui-Yuan Su   +3 more
doaj   +1 more source

Multi-View Camera Pose Estimation for Robotic Arm Manipulation

open access: yesIEEE Access, 2020
This article proposes a novel approach aimed at estimating the pose of a camera, affixed to a robotic manipulator, against a target object. Our approach provides a way to exploit the redundancy of the robotic arm kinematics by directly considering ...
Ihtisham Ali   +3 more
doaj   +1 more source

LEDs based video camera pose estimation

open access: yesBulletin of the Polish Academy of Sciences Technical Sciences, 2015
Abstract For 3D object localization and tracking with multiple cameras the camera poses have to be known within a high precision. The paper evaluates camera pose estimation via a fundamental matrix and via the known object in environment of multiple static cameras.
K. Sudars   +3 more
openaire   +1 more source

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