GeoPose enables the easy integration of digital elements on and in relation to the surface of the planet.
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Updated
Jun 29, 2023 - C#
GeoPose enables the easy integration of digital elements on and in relation to the surface of the planet.
official Pytorch implementation of paper 'Adversarial samples for deep monocular 6D object pose estimation'
This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
[IROS24] Offical repository for "PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset Generation"
TTool is software designed for augmented reality (AR) assisted woodworking tasks. It allows a AI-assisted and real-time detection of tool head's type and pose within the camera frame.
[ECCV 2024] SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
Code for "MH6D: Multi-Hypothesis Consistency Learning for Category-Level 6D Object Pose Estimation" (TNNLS 2024).
ROS2 Humble Python node and model training tools for detecting and estimating the 6DOF pose of a fuel cap
Official project website for the AAAI 2022 paper "Stereo Neural Vernier Caliper"
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation (BMVC 2022)
A multimodal UAV assistant dataset.
Create ground truth pose for 6D Pose Estimation given an object mesh and related RGB image.
[3D Vision 2024] A new cascade framework named Cas6D for few-shot 6DoF pose estimation that is generalizable and uses only RGB images.
PAJ7025R2 for 6dof tracking: code (Arduino, Windows) and PCB (KiCad).
Code for "Robotic Continuous Grasping System by Shape Transformer-Guided Multi-Object Category-Level 6D Pose Estimation" (TII 2023).
Code implementation of our paper "CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation"
semantic mapping module of vision lab slam system
DOPE (Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects)
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