Results 21 to 30 of about 382,910 (276)
Dynamical Pose Estimation with Graduated Non-Convexity for Outlier Robustness [PDF]
Modeling, Identification and Control, 2022 In this paper we develop a method for relative pose estimation for two sets of corresponding geometric primitives in 3D with a significant outlier fraction.
Torbjørn Smith, Olav Egeland
doaj +1 more source
Domain Adaptation for Head Pose Estimation Using Relative Pose Consistency
IEEE Transactions on Biometrics, Behavior, and Identity Science, 2023 Head pose estimation plays a vital role in biometric systems related to facial and human behavior analysis. Typically, neural networks are trained on head pose datasets. Unfortunately, manual or sensor-based annotation of head pose is impractical. A solution is synthetic training data generated from 3D face models, which can provide an infinite number ...
Felix Kuhnke, Jörn Ostermann
openaire +1 more source
Accurate visual localization with semantic masking and attention
EURASIP Journal on Advances in Signal Processing, 2022 Visual localization is the task of accurate camera pose estimation within a scene and is a crucial technique for computer vision and robotics. Among the various approaches, relative pose estimation has gained increasing interest because it can generalize
Tunan Li, Zhaohuan Zhan, Guang Tan
doaj +1 more source
Relative Pose Estimation of Non-Cooperative Space Targets Using a TOF Camera
Remote Sensing, 2022 It is difficult to determine the accurate pose of non-cooperative space targets in on-orbit servicing (OOS). The visual camera is easily affected by the extreme light environment in space, and the scanning lidar will have motion distortion when the ...
Dianqi Sun +3 more
doaj +1 more source
Camera calibration and relative pose estimation from gravity [PDF]
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002 We examine the potential use of gravity for camera calibration and pose estimation purposes. Concretely, objects being launched or dropped follow trajectories dictated by the law of gravity. We examine if video sequences of such trajectories give us exploitable constraints for estimating the imaging geometry. It is shown that it is possible to estimate
Sturm, Peter, Quan, Long
openaire +2 more sources
Globally Optimal Relative Pose Estimation with Gravity Prior [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Smartphones, tablets and camera systems used, e.g., in cars and UAVs, are typically equipped with IMUs (inertial measurement units) that can measure the gravity vector accurately. Using this additional information, the $y$-axes of the cameras can be aligned, reducing their relative orientation to a single degree-of-freedom.
Ding, Yaqing +4 more
openaire +2 more sources
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation [PDF]
, 2017 We propose a new method to analyze the impact of errors in algorithms for multi-instance pose estimation and a principled benchmark that can be used to compare them.
Perona, Pietro, Ronchi, Matteo Ruggero
core +2 more sources
Relative Pose Estimation Based on Pairwise Range With Application to Aerobridge
IEEE Access, 2020 Relative pose estimation refers to estimate the relative attitude and translation between multiple platforms. For mobile platforms, tracking the relative pose with pairwise range is challenging for highly nonlinear associations between measurement and ...
Ruican Xia, Hailong Pei
doaj +1 more source
Regression-Based Camera Pose Estimation through Multi-Level Local Features and Global Features
Sensors, 2023 Accurate and robust camera pose estimation is essential for high-level applications such as augmented reality and autonomous driving. Despite the development of global feature-based camera pose regression methods and local feature-based matching guided ...
Meng Xu +3 more
doaj +1 more source
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty [PDF]
, 2019 We propose a novel loss function that dynamically re-scales the cross entropy based on prediction difficulty regarding a sample. Deep neural network architectures in image classification tasks struggle to disambiguate visually similar objects.
Jeong, Seong-Gyun +2 more
core +2 more sources