Search Results for author: Patrick Ruhkamp

Found 12 papers, 3 papers with code

S2P3: Self-Supervised Polarimetric Pose Prediction

no code implementations2 Dec 2023 Patrick Ruhkamp, Daoyi Gao, Nassir Navab, Benjamin Busam

The novel training paradigm comprises 1) a physical model to extract geometric information of polarized light, 2) a teacher-student knowledge distillation scheme and 3) a self-supervised loss formulation through differentiable rendering and an invertible physical constraint.

Knowledge Distillation Pose Prediction

Polarimetric Information for Multi-Modal 6D Pose Estimation of Photometrically Challenging Objects with Limited Data

no code implementations21 Aug 2023 Patrick Ruhkamp, Daoyi Gao, HyunJun Jung, Nassir Navab, Benjamin Busam

6D pose estimation pipelines that rely on RGB-only or RGB-D data show limitations for photometrically challenging objects with e. g. textureless surfaces, reflections or transparency.

6D Pose Estimation

Multi-Modal Dataset Acquisition for Photometrically Challenging Object

no code implementations21 Aug 2023 HyunJun Jung, Patrick Ruhkamp, Nassir Navab, Benjamin Busam

This paper addresses the limitations of current datasets for 3D vision tasks in terms of accuracy, size, realism, and suitable imaging modalities for photometrically challenging objects.

Object

DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching

no code implementations31 Jul 2020 Patrick Ruhkamp, Ruiqi Gong, Nassir Navab, Benjamin Busam

Feature based visual odometry and SLAM methods require accurate and fast correspondence matching between consecutive image frames for precise camera pose estimation in real-time.

Descriptive Pose Estimation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.