74 citations · 276 across the 10 of their papers we have counts for
11 papers
Ki-Pode: Keypoint-based Implicit Pose Distribution Estimation of Rigid Objects
Thorbjørn Mosekjær Iversen, Rasmus Laurvig Haugaard, Anders Glent Buch
The estimation of 6D poses of rigid objects is a fundamental problem in computer vision. Traditionally pose estimation is concerned with the determination of a single best estimate…
A Flexible and Robust Vision Trap for Automated Part Feeder Design
Rasmus Laurvig Haugaard, Thorbjørn Mosekjær Iversen, Anders Glent Buch +2
Fast, robust, and flexible part feeding is essential for enabling automation of low volume, high variance assembly tasks. An actuated vision-based solution on a traditional vibrato…
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data
Frederik Hagelskjaer, Anders Glent Buch
Pose estimation is the task of determining the 6D position of an object in a scene. Pose estimation aid the abilities and flexibility of robotic set-ups. However, the system must b…
SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings
Rasmus Laurvig Haugaard, Anders Glent Buch
We present an approach to learn dense, continuous 2D-3D correspondence distributions over the surface of objects from data with no prior knowledge of visual ambiguities like symmet…
Fast robust peg-in-hole insertion with continuous visual servoing
Rasmus Laurvig Haugaard, Jeppe Langaa, Christoffer Sloth +1
This paper demonstrates a visual servoing method which is robust towards uncertainties related to system calibration and grasping, while significantly reducing the peg-in-hole time…
Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization
Frederik Hagelskjaer, Anders Glent Buch
Since the introduction of modern deep learning methods for object pose estimation, test accuracy and efficiency has increased significantly. For training, however, large amounts of…