SaaSHub helps you find the best software and product alternatives Learn more →
Hierarchical-Localization Alternatives
Similar projects and alternatives to Hierarchical-Localization
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
-
mcl_3dl
A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
DOLG-pytorch
Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
-
CenterPose
Single-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image (ICRA 2022)
-
aquamam
An autoregressive, quaternion manifold model for rapidly estimating complex SO(3) distributions.
-
lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Hierarchical-Localization reviews and mentions
-
What algorithms should I look at if I'm interested in SLAM-like navigation, but with 3-D map foreknowledge?
You can try hierarchical localization, it's pretty memory efficient since it only brings up relevant point clouds instead of the entire mapped pointed when you're computing poses.
-
6D object pose estimation by known 3d model
Sounds like this is a 3D to 2D correspondence estimation problem. So is it correct that you are trying find the pose of the object based on seen 2D images? First you need to define a canonical reference frame for the object. This object reference frame is essentially glued to the object and you want to estimate the object to camera frame transformation matrix which will give you the pose of the object relative to how you are viewing it from a given frame. To achieve this, most literature use some form of 3D to 2D feature correspondence search from which a transformation matrix is obtained using projective geometry. Features like SIFT features can be used to find correspondences between features seen in the 2D image and features in the 3D object. This is also an active area of research in computer vision and the state of the art uses learned deep features. You can check out https://github.com/cvg/Hierarchical-Localization which is the State-of-the-Art in camera 6DOF pose estimation from known 3D models of the world. For your scenario, you just need to define the object coordinate system and you can obtain the pose if you know the object to camera transformations. You should also first look into the classical approaches which use some variants of PNP + RANSAC algorithm to find 2D to 3D correspondences. Since you also know the relative poses of the cameras, you can also do refinement like bundle adjustment to better predict your 2D to 3D correspondences. Let me know if you find any good tutorials or resources online.
-
3D object recognition for AR in Unity
Different traditional methods can also be helped by specific ML tasks such as: (a) initial 2D bounding box detection to limit region of 3D pose estimation (b) edge detection (like HED: https://arxiv.org/abs/1504.06375) (c) training on a photogrametry model for more robust retrieval and matching in changing scale and light (like HLoC: https://github.com/cvg/Hierarchical-Localization)
-
Automatic Image Registration for big data
I have been very successful with these kind of image pairs using SuperPoint+SuperGlue. The authors‘ work is awesome and code is available here: hloc
-
Using Unified Camera Model parameters in COLMAP: Hierarchical Localization
I am looking for some advice on a problem I am running into using this localization algorithm.
-
A note from our sponsor - SaaSHub
www.saashub.com | 24 Apr 2024
Stats
cvg/Hierarchical-Localization is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of Hierarchical-Localization is Python.
Popular Comparisons
- Hierarchical-Localization VS colmap
- Hierarchical-Localization VS LoFTR
- Hierarchical-Localization VS nerfmm
- Hierarchical-Localization VS Deep_Object_Pose
- Hierarchical-Localization VS hdl_localization
- Hierarchical-Localization VS mcl_3dl
- Hierarchical-Localization VS DOLG-pytorch
- Hierarchical-Localization VS PoseCNN-PyTorch
- Hierarchical-Localization VS aquamam
- Hierarchical-Localization VS lightweight-human-pose-estimation.pytorch
Sponsored