Results 31 to 40 of about 1,070 (216)
A Review of Recurrent Neural Network Based Camera Localization for Indoor Environments
IEEE 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
Applied 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
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 +4 more
openaire +2 more sources
Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley +1 more source
Applied Sciences, 2019 This paper presents an improved Oriented Feature from Accelerated Segment Test (FAST) and Rotated BRIEF (ORB) keypoints matching method for pose estimation of automatic battery-replacement systems. The key issue of the system is how to precisely estimate
Jiabin Jiang +4 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 +5 more
openaire +3 more sources
Real-time camera pose estimation for sports fields [PDF]
Machine 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 ...
Citraro, Leonardo +8 more
openaire +3 more sources
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Active 6-D position-pose estimation of a spatial circle using monocular eye-in-hand system
International Journal of Advanced Robotic Systems, 2018 Nuts and bolts are common components in assembly lines. Their position and pose estimation is a vital step for automatic assembling. Although many approaches using a monocular camera have been proposed, few works consider a monocular camera’s active ...
Xin Ma +3 more
doaj +1 more source
Guided Sparse Camera Pose Estimation
, 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