Search Results for author: Anders Glent Buch

Found 9 papers, 1 papers with code

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

no code implementations20 Sep 2022 Thorbjørn Mosekjær Iversen, Rasmus Laurvig Haugaard, Anders Glent Buch

However, a single estimate is unable to express visual ambiguity, which in many cases is unavoidable due to object symmetries or occlusion of identifying features.

Pose Estimation

ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data

no code implementations2 Mar 2022 Frederik Hagelskjaer, Anders Glent Buch

The use of synthetic training data avoids this data collection problem, but a configuration of the training procedure is necessary to overcome the domain gap problem.

Pose Estimation

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

no code implementations CVPR 2022 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 symmetry.

6D Pose Estimation

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

no code implementations17 Nov 2020 Frederik Hagelskjaer, Anders Glent Buch

While the use of synthetic training data prevents the need for manual annotation, there is currently a large performance gap between methods trained on real and synthetic data.

Data Augmentation Pose Estimation

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

no code implementations ICCV 2017 Anders Glent Buch, Lilita Kiforenko, Dirk Kraft

The key insight of our work is that a single correspondence between oriented points on the two models is constrained to cast votes in a 1 DoF rotational subgroup of the full group of poses, SE(3).

3D Object Recognition Density Estimation +1

Pose Estimation using Local Structure-Specific Shape and Appearance Context

no code implementations23 Aug 2017 Anders Glent Buch, Dirk Kraft, Joni-Kristian Kamarainen, Henrik Gordon Petersen, Norbert Krüger

We address the problem of estimating the alignment pose between two models using structure-specific local descriptors.

Pose Estimation

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