Selective Embedding with Gated Fusion for 6D Object Pose Estimation
Sign Up to like & getrecommendations! Published in 2020 at "Neural Processing Letters"
DOI: 10.1007/s11063-020-10198-8
Abstract: Deep learning method for 6D object pose estimation based on RGB image and depth (RGB-D) has been successfully applied to robot grasping. The fusion of RGB and depth is one of the most important difficulties.… read more here.
Keywords: estimation; embedding gated; pose estimation; selective embedding ... See more keywords
Fast Object Pose Estimation Using Adaptive Threshold for Bin-Picking
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2983173
Abstract: Robotic bin-picking is a common process in modern manufacturing, logistics, and warehousing that aims to pick-up known or unknown objects with random poses out of a bin by using a robot-camera system. Rapid and accurate… read more here.
Keywords: adaptive threshold; object pose; pose estimation; bin picking ... See more keywords
Category-Level Object Pose Estimation in Heavily Cluttered Scenes by Generalized Two-Stage Shape Reconstructor
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DOI: 10.1109/access.2024.3372658
Abstract: In this paper, we propose a method for robust estimation of the pose of an unknown object instance in an object category from a depth image, even if it is occluded. In cluttered scenes, objects… read more here.
Keywords: cluttered scenes; object pose; shape reconstructor; shape ... See more keywords
I-HS4PCS: Object 6D Pose Estimation Method Based on Harris3D-ikdTree Optimization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3462756
Abstract: Object 6D pose estimation is a critical task in image processing and various other fields. It involves determining both the three-degree-of-freedom translation and the three-degree-of-freedom rotation information of the target object within the camera coordinate… read more here.
Keywords: hs4pcs object; object pose; icp; pose estimation ... See more keywords
6D Object Pose Estimation With Compact Generalized Non-Local Operation
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DOI: 10.1109/access.2024.3508772
Abstract: Real-time object detection and pose estimation are critical in practical applications such as virtual reality, scene understanding, and robotics. In this paper, we propose a compact generalized non-local pose estimation network capable of directly predicting… read more here.
Keywords: object pose; non local; compact generalized; pose estimation ... See more keywords
VeREFINE: Integrating Object Pose Verification With Physics-Guided Iterative Refinement
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2996059
Abstract: Accurate and robust object pose estimation for robotics applications requires verification and refinement steps. In this work, we propose to integrate hypotheses verification with object pose refinement guided by physics simulation. This allows the physical… read more here.
Keywords: refinement; robotics; object pose; physics ... See more keywords
Improving Object Pose Estimation by Fusion With a Multimodal Prior – Utilizing Uncertainty-Based CNN Pipelines for Robotics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3140450
Abstract: Estimating the pose of an object is essential for robot manipulation. In many applications the spatial and geometric relations between the object and the other parts of the world, e.g. the relation between the object… read more here.
Keywords: multimodal prior; pose estimation; robotics; improving object ... See more keywords
OSSID: Online Self-Supervised Instance Detection by (And For) Pose Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3145488
Abstract: Real-time object pose estimation is necessary for many robot manipulation algorithms. However, state-of-the-art methods for object pose estimation are trained for a specific set of objects; these methods thus need to be retrained to estimate… read more here.
Keywords: ossid; pose estimation; self supervised; object pose ... See more keywords
Voting and Attention-Based Pose Relation Learning for Object Pose Estimation From 3D Point Clouds
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3189158
Abstract: Estimating the 6DOF pose of objects is an important function in many applications, such as robot manipulation or augmented reality. However, accurate and fast pose estimation from 3D point clouds is challenging, because of the… read more here.
Keywords: point clouds; pose estimation; object pose; estimation point ... See more keywords
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3222998
Abstract: 6D object pose estimation aims to infer the relative pose between the object and the camera using a single image or multiple images. Most works have focused on predicting the object pose without associated uncertainty… read more here.
Keywords: ambiguity aware; object pose; multi object; visually assisted ... See more keywords
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3259735
Abstract: This letter introduces a dataset for training and evaluating methods for 6D pose estimation of hand-held tools in task demonstrations captured by a standard RGB camera. Despite the significant progress of 6D pose estimation methods,… read more here.
Keywords: training evaluating; object pose; pose estimation; imitation learning ... See more keywords