[HTML][HTML] 6D object position estimation from 2D images: A literature review
The 6D pose estimation of an object from an image is a central problem in many domains of
Computer Vision (CV) and researchers have struggled with this issue for several years …
Computer Vision (CV) and researchers have struggled with this issue for several years …
Zebrapose: Coarse to fine surface encoding for 6dof object pose estimation
Establishing correspondences from image to 3D has been a key task of 6DoF object pose
estimation for a long time. To predict pose more accurately, deeply learned dense maps …
estimation for a long time. To predict pose more accurately, deeply learned dense maps …
[HTML][HTML] Generating images with physics-based rendering for an industrial object detection task: Realism versus domain randomization
L Eversberg, J Lambrecht - Sensors, 2021 - mdpi.com
Limited training data is one of the biggest challenges in the industrial application of deep
learning. Generating synthetic training images is a promising solution in computer vision; …
learning. Generating synthetic training images is a promising solution in computer vision; …
[HTML][HTML] A survey of 6d object detection based on 3d models for industrial applications
F Gorschlüter, P Rojtberg, T Pöllabauer - Journal of Imaging, 2022 - mdpi.com
Six-dimensional object detection of rigid objects is a problem especially relevant for quality
control and robotic manipulation in industrial contexts. This work is a survey of the state of …
control and robotic manipulation in industrial contexts. This work is a survey of the state of …
Hipose: Hierarchical binary surface encoding and correspondence pruning for rgb-d 6dof object pose estimation
In this work we present a novel dense-correspondence method for 6DoF object pose
estimation from a single RGB-D image. While many existing data-driven methods achieve …
estimation from a single RGB-D image. While many existing data-driven methods achieve …
[HTML][HTML] CNN training using 3D virtual models for assisted assembly with mixed reality and collaborative robots
The assisted assembly of customized products supported by collaborative robots combined
with mixed reality devices is the current trend in the Industry 4.0 concept. This article …
with mixed reality devices is the current trend in the Industry 4.0 concept. This article …
[HTML][HTML] Combining Synthetic Images and Deep Active Learning: Data-Efficient Training of an Industrial Object Detection Model
L Eversberg, J Lambrecht - Journal of Imaging, 2024 - mdpi.com
Generating synthetic data is a promising solution to the challenge of limited training data for
industrial deep learning applications. However, training on synthetic data and testing on real …
industrial deep learning applications. However, training on synthetic data and testing on real …
Evaluation of single-stage vision models for pose estimation of surgical instruments
Purpose Multiple applications in open surgical environments may benefit from adoption of
markerless computer vision depending on associated speed and accuracy requirements …
markerless computer vision depending on associated speed and accuracy requirements …
RoCap: A Robotic Data Collection Pipeline for the Pose Estimation of Appearance-Changing Objects
Object pose estimation plays a vital role in mixed-reality interactions when users manipulate
tangible objects as controllers. Traditional vision-based object pose estimation methods …
tangible objects as controllers. Traditional vision-based object pose estimation methods …
Research on 6DOF Pose Measurement Algorithm of Industrial Metal Workpiece Based on Binocular Vision
Q He, G Wan, M Jiang, Q Wang… - 2024 39th Youth …, 2024 - ieeexplore.ieee.org
In the face of the promotion of robot positioning and grasping applications in the industrial
field, accurate identification and positioning of target objects in complex industrial …
field, accurate identification and positioning of target objects in complex industrial …