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Collection of dockerized plane extraction methods for 3D data
A simple and efficient 3D line detection algorithm for large scale unorganized point cloud
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
List of awesome infrared small targets detection methods!
A list of papers and datasets about point cloud analysis (processing)
A list of papers about point clouds registration
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Homepage for STAT 157 at UC Berkeley
- Developed an algorithm for Coarse Alignment of Point Clouds to achieve Localization of Objects.
C++ implementation of the Coherent Point Drift point set registration algorithm.
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
数据科学的笔记以及资料搜集
关于深度学习的点云的资料
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
Matlab and C++ code for implementation of the Extended Kalman Filter for estimating dynamic quantities for a single rigid body with distributed force/torque measurements and distributed gyroscopes and accelerometers measurements.It also include estimation of the orientation under the quaternion representation.
A collection of GICP-based fast point cloud registration algorithms
This repository is the implementation of our CVPR 2020 work: "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences"
GH-ICP: Iterative Closest Point algorithm with global optimal matching and hybrid metric
GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.
Global Optimal ICP Implementations
Cython iterative farthest point sampling implementation
An infra-red search and track (IRST) system for small target detection in infrared images.
This is the code for paper "Infrared small target detection in compressive domain, Electronics Letters, 2014"
core code for the "Infrared Small Target Detection Based on Facet Kernel and Random Walker"
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
SLAM 开发学习资源与经验分享
A fast and simple method for multi-planes detection from point cloud
Multiview Levenberg-Marquardt ICP
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.