Category-level object pose estimation from depth point cloud
智能科学与技术学报, 2022 Aiming at the problem of category-level object pose estimation, a method was proposed to accurately estimate the pose of the target object by only taking the point cloud scanned by the depth camera as the input, with knowing the category of input point ...
Renwu LI +4 more
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Point estimation for adaptive trial designs II: Practical considerations and guidance. [PDF]
Stat Med, 2023 Robertson DS +5 more
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Point estimation of certain measures in organizational demography using variable-r methods. [PDF]
Demogr Res, 2023 Lachanski M.
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Point estimation following a two-stage group sequential trial. [PDF]
Stat Methods Med Res, 2023 Grayling MJ, Wason JM.
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Multi-point estimation weldment recognition and estimation of pose with data-driven robotics design
Nonlinear EngineeringIn robotic welding systems, weldment recognition and pose estimation play crucial roles in achieving precision and efficiency. Weldment recognition involves identifying and classifying different types of weld joints and components with high accuracy ...
Meng XiangYi
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Inter- and Intra-Examiner Reliability Study of Two-Point Discrimination Test (TPD) and Two-Point Estimation Task (TPE) in the Sacral Area of Pain-Free Individuals. [PDF]
Diagnostics (Basel), 2023 Saulicz E +5 more
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Pov9D: Point Cloud-Based Open-Vocabulary 9D Object Pose Estimation
Journal of ImagingWe propose a point cloud-based framework for open-vocabulary object pose estimation, called Pov9D. Existing approaches are predominantly RGB-based and often rely on texture or appearance cues, making them susceptible to pose ambiguities when objects are ...
Tianfu Wang, Hongguang Wang
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Single-time-point estimation of absorbed doses in PRRT using a non-linear mixed-effects model. [PDF]
Z Med Phys, 2023 Hardiansyah D +3 more
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Virus Isoelectric Point Estimation: Theories and Methods. [PDF]
Appl Environ Microbiol, 2021 Heffron J, Mayer BK.
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Pose estimation algorithm based on point pair features using PointNet + +
Complex & Intelligent SystemsThis study proposes an innovative deep learning algorithm for pose estimation based on point clouds, aimed at addressing the challenges of pose estimation for objects affected by the environment.
Yifan Chen +3 more
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