Pose Estimation

Mar 29, 2023 · Machine Learning

[6D Pose Estimation] Gen6D Algorithm

Algorithm reproduction

Mar 27, 2023 · Machine Learning

GDRNPP: A 6D Pose Estimation Algorithm

Mar 21, 2023 · Machine Learning

[Paper Notes] 6D Pose Estimation Papers from ECCV2020–2022

Notes from searching for and reading ECCV papers related to 6D pose estimation from the past three years

Mar 15, 2023 · Machine Learning

[Paper Notes] Papers on 6D Pose Estimation at CVPR2020-2022

A review of and notes on CVPR papers related to 6D pose estimation from the past three years

Mar 14, 2023 · Machine Learning

[Paper Notes] Papers Citing DenseFusion | No Code

I searched for papers citing DenseFusion, but so many of them had no open-source code that after reading two, I switched to focusing only on papers from top-tier conferences.

Sep 18, 2022 · Machine Learning

Creating a Custom LINEMOD Dataset (ObjectDatasetTools)

I am currently studying 6D pose estimation algorithms. The LINEMOD dataset is the most commonly used dataset in this field, but testing only on an existing dataset is not enough. Building a custom dataset is necessary for practical applications.

Sep 15, 2022 · Machine Learning

[Paper Notes] FFB6D

FFB6D fuses RGB and point cloud information during the feature extraction stage, then performs instance segmentation and keypoint detection.

Sep 12, 2022 · Machine Learning

[Paper Notes] DenseFusion

This paper proposes a heterogeneous architecture that processes two data sources (RGB and depth maps) separately and uses a novel dense fusion network to extract dense pixel-level features for pose estimation.

Sep 12, 2022 · Machine Learning

[6D Pose Estimation Algorithm] PVNet

Attempted to test PVNet but gave up partway through.

Sep 7, 2022 · Machine Learning

[6D Pose Estimation Algorithm] PoseCNN

Addresses the increased difficulty of 6D pose estimation caused by occlusion and clutter between objects by combining a backbone network with ICP point matching.

Aug 13, 2022 · Machine Learning

[6D Pose Estimation Algorithm] Introduction to LineMod and Code Testing

The LineMod algorithm was proposed by Hinterstoisser et al. in 2011. Using template matching, it addresses real-time detection and 6D pose estimation and localization for low-texture three-dimensional objects in cluttered scenes.

Apr 18, 2022 · Machine Learning

Detecting ArUco Marker Pose in ROS

A package for detecting ArUco pose, with installation, testing, and usage instructions.