A. Buch

发表

Refining grasp affordance models by experience

Justus H. Piater, Dirk Kraft, Norbert Krüger, 2010, 2010 IEEE International Conference on Robotics and Automation.

Teaching a Robot the Semantics of Assembly Tasks

Carme Torras, Ales Ude, Eren Erdal Aksoy, 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Based 6 D Object Pose Estimation

A. Buch, Joni-Kristian Kämäräinen, A. Hietanen, 2017 .

Self-supervised deep visual servoing for high precision peg-in-hole insertion

Thorbjørn Mosekjær Iversen, A. Buch, R. Haugaard, 2022, 2206.08800.

Self-supervised deep visual servoing for high precision peg-in-hole insertion

Thorbjørn Mosekjær Iversen, A. Buch, R. Haugaard, 2022, 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).

Geometric Edge Description and Classification in Point Cloud Data with Application to 3D Object Recognition

Dirk Kraft, Anders Glent Buch, Troels Bo Jørgensen, 2015, VISAPP.

Extended 3D Line Segments from RGB-D Data for Pose Estimation

Dirk Kraft, Norbert Krüger, Anders Glent Buch, 2013, SCIA.

Using surfaces and surface relations in an Early Cognitive Vision system

Dirk Kraft, Norbert Krüger, Anders Glent Buch, 2015, Machine Vision and Applications.

BOP: Benchmark for 6D Object Pose Estimation pdf

Eric Brachmann, Jiri Matas, Federico Tombari, 2018, ECCV.

A new benchmark for pose estimation with ground truth from virtual reality

Eren Erdal Aksoy, Florentin Wörgötter, Norbert Krüger, 2014, Prod. Eng..

In Search of Inliers: 3D Correspondence by Local and Global Voting

Henrik Gordon Petersen, Norbert Krüger, Anders Glent Buch, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Prediction of ICP pose uncertainties using Monte Carlo simulation with synthetic depth images

Dirk Kraft, Anders Glent Buch, Thorbjørn Mosekjær Iversen, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Pose estimation using local structure-specific shape and appearance context

Henrik Gordon Petersen, Dirk Kraft, Norbert Krüger, 2013, 2013 IEEE International Conference on Robotics and Automation.

Shape Dependency of ICP Pose Uncertainties in the Context of Pose Estimation Systems

Dirk Kraft, Norbert Krüger, Anders Glent Buch, 2015, ICVS.

Pointvotenet: Accurate Object Detection And 6 DOF Pose Estimation In Point Clouds

A. Buch, Frederik Hagelskjær, 2019, 2020 IEEE International Conference on Image Processing (ICIP).

What We Can Learn From the Primate’s Visual System

Norbert Krüger, Anders Glent Buch, Peter Janssen, 2015, KI - Künstliche Intelligenz.

SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings

A. Buch, R. Haugaard, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Solving peg-in-hole tasks by human demonstration and exception strategies

Ales Ude, Bojan Nemec, Norbert Krüger, 2014 .

Local shape feature fusion for improved matching, pose estimation and 3D object recognition

H. G. Petersen, N. Krüger, A. Buch, 2016, SpringerPlus.

Indoor Objects and Outdoor Urban Scenes Recognition by 3D Visual Primitives

Norbert Krüger, Junsheng Fu, Joni-Kristian Kämäräinen, 2014, ACCV Workshops.

A performance evaluation of point pair features

Federico Tombari, Norbert Krüger, Anders Glent Buch, 2018, Comput. Vis. Image Underst..

Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition

D. Kraft, A. Buch, Lilita Kiforenko, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Robustifying correspondence based 6D object pose estimation

Joni-Kristian Kämäräinen, Anders Glent Buch, Jyrki Latokartano, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Local Point Pair Feature Histogram for Accurate 3D Matching

Dirk Kraft, Anders Glent Buch, D. Kraft, 2018, BMVC.

Object detection using categorised 3D edges

Norbert Krüger, Anders Glent Buch, Leon Bodenhagen, 2015, Other Conferences.

Peg-in-Hole assembly under uncertain pose estimation

L. L. Lin, Y. Yang, Y. T. Song, 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

Multi-view object instance recognition in an industrial context

Norbert Krüger, Anders Glent Buch, Wail Mustafa, 2015, Robotica.

Using spatial constraints for fast set-up of precise pose estimation in an industrial setting

Anders Glent Buch, Norbert Krüger, Thiusius Rajeeth Savarimuthu, 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization

A. Buch, Frederik Hagelskjær, 2020, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Ki-Pode: Keypoint-based Implicit Pose Distribution Estimation of Rigid Objects

Thorbjørn Mosekjær Iversen, A. Buch, R. Haugaard, 2022, BMVC.

Towards robot cell matrices for agile production – SDU Robotics' assembly cell at the WRC 2018

Henrik Gordon Petersen, Dirk Kraft, Lars Carøe Sørensen, 2019, Adv. Robotics.

Solving peg-in-hole tasks by human demonstration and exception strategies

A. Ude, B. Nemec, Aljaz Kramberger, 2014, Industrial robot.

Technologies for the Fast Set-Up of Automated Assembly Processes

Henrik Gordon Petersen, Ales Ude, Eren Erdal Aksoy, 2014, KI - Künstliche Intelligenz.

Industrial Robot : An International Journal Ring on the hook : placing a ring on a moving and pendulating hook based on visual input

Henrik Gordon Petersen, Dirk Kraft, Anders Glent Buch, 2016 .

Bayesian Optimization of 3D Feature Parameters for 6D Pose Estimation

Norbert Krüger, Anders Buch, Frederik Hagelskjær, 2019, VISIGRAPP.

Bayesian Optimization of 3D Feature Parameters for 6D Pose Estimation

A. Kerren, J. Braz, C. Hurter, 2019 .