OptSolution

OptSolution's Stars

• MaaniGhaffari/cvo-rgbd

  Continuous Direct Sparse Visual Odometry from RGB-D Images

  Language:C++6312

• XiaoshuiHuang/fmr

  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"

  Language:Python15820

• bing-jian/gmmreg

  Implementations of the robust point set registration algorithm described in "Robust Point Set Registration Using Gaussian Mixture Models", Bing Jian and Baba C. Vemuri, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8), pp. 1633-1645. For a Python implementation, please refer to http://github.com/bing-jian/gmmreg-python.

  Language:C++30196

• felja633/DARE

  Density Adaptive Point Set Registration

  Language:Python6913

• wentaoyuan/deepgmr

  PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)

  Language:Python14915

• ohirose/bcpd

  Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)

  Language:C30039

• prs-eth/OverlapPredator

  [CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

  Language:Python51674

• WangYueFt/dcp

  Language:Python36792

• vinits5/learning3d

  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

  Language:Python746103

• hmgoforth/PointNetLK

  Language:Python45993

• neka-nat/probreg

  Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

  Language:Python870148

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML70.2k14.7k

• ethz-asl/robust_point_cloud_registration

  Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")

  Language:C++563182

• wsunid/awesome-point-clouds-registration

  A list of papers about point clouds registration

  43076

• chrischoy/DeepGlobalRegistration

  [CVPR 2020 Oral] A differentiable framework for 3D registration

  Language:Python48784

• qnzhou/nanospline

  A nano spline library in modern C++.

  Language:C++11323

• google/leveldb

  LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

  Language:C++36.9k7.9k

• google/orbit

  C/C++ Performance Profiler

  Language:C++4.2k350

• Dovyski/cvui

  A (very) simple UI lib built on top of OpenCV drawing primitives

  Language:C++836213

• panda-lab/face-landmark

  caffe 68 points face-landmark

  Language:Python533225

• patrikhuber/eos-model-viewer

  3D model viewer for the eos Morphable Model library

  Language:C++14453

• yifeishi/PlaneMatch

  [ECCV'18 Oral] PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction

  Language:Python11832

• kadn/OpenSeqSLAM2.0

  OpenSeqSLAM2.0: An Open Source Toolbox for Visual Place Recognition Under Changing Conditions

  Language:MATLAB182

• patrikhuber/eos

  A lightweight 3D Morphable Face Model library in modern C++

  Language:C++1.9k598

• anhttran/3dmm_basic

  An implementation of the classical 3DMM fitting algorithm

  Language:C++11631

• Yinghao-Li/3DMM-fitting

  Fit 3DMM to front and side face images simultaneously.

  Language:Jupyter Notebook21854

• grigala/3DMMDepthFitting

  Efficient 3D Morphable Model Face Fitting using Depth Sensing Technologies

  Language:Scala258

• 3d-morphable-models/curated-list-of-awesome-3D-Morphable-Model-software-and-data

  The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

  910110

• JeremyBYU/polylidar

  Polylidar3D - Fast polygon extraction from 3D Data

  Language:C++30841

• dzunigan/imu_initialization

  Implementation of "An Analytical Solution to the IMU Initialization Problem for Visual-Inertial Systems"

  Language:C++13620