zhanglepy's Stars
Quilliams85/Lung-Simulation-SNR-Lab
vgonzalezd/Ultrasound-Confidence-Maps-using-Random-Walks
Python implementation of Ultrasound Confidence Maps using Random Walks for confidence map estimation in ultrasound imaging, based on the paper by Karamalis et al.
orbingol/NURBS-Python
Object-oriented pure Python B-Spline and NURBS library
qxiaofan/awesome_pointcloud_process
Ewenwan/MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Xrvitd/GCNO
Code of Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field. ACM Transactions on Graphics (SIGGRAPH 2023).
wrichey/wrichey.github.io
Winona Richey Professional Website
gilShamai/3D-Shape-Matching
A Matlab implementation of the paper "geodesic distance descriptors" for 3D non-rigid shape correspondence.
saikiran321/nonrigid_icp
This repository is an implementation of non rigid icp
Awesome-Image-Registration-Organization/awesome-image-registration
image registration related books, papers, videos, and toolboxes
UCL/scikit-surgerysurfacematch
Tools for reconstructing and matching surfaces represented as point clouds.
SciKit-Surgery/scikit-surgery
SciKit-Surgery - Compact Libraries for Surgical Navigation
aubin-tchoi/shot-fpfh
Comparison of SHOT and FPFH descriptors for 3D point clouds registration
saimanoj18/iros_bshot
B-SHOT : A Binary Feature Descriptor for Fast and Efficient Keypoint Matching on 3D Point Clouds
yazanmaalla/stereo-vision
stereo vision: estimate 3D vision depending on information extracted from 2D-images. 1)Feature extract, using SIFT algorithm. 2)Matching, using KNN algorithm. 3)Compute "Fundamental Matrix", using RANSAC algorithm. 4)Reconstruction. 5)Triangulation. 6)Pose disambiguation. 7)Rectification. 8)Disparity Computing.
Hal-Zhaodong-Yang/ComputerVision2021
Including image hybrid, neural network, feature detection, description, and matching, 3D reconstruction, visual odometry
ClementWu123/Feature-Extraction-and-Key-Point-Matching-for-3D-Reconstruction
gkghzel/3D-reconstruction-of-SfM
This is a 3D reconstruction project based on binocular endoscope image for feature description, feature matching, and generates point cloud by using triangulation principle or parallax calculation, and finally finished by Delaunay principle.
Gibbs-liu/PuzzleNet
PuzzleNet: Boundary-Aware Feature Matching for Non-overlapping 3D Point Clouds Assembly
HaoyangSunMartin/Bundle_Adjustment_from_RGBD_Images
This project is a semester project that performs bundle adjustment on 3D point clouds. It uses sparse feature matching to align different point clouds with each other.
zixinyang9109/LiverMatch
Learning Feature Descriptors for Pre- and Intra-operative Point Cloud Matching for Laparoscopic Liver Registration
justinbellucci/3D-Object-Tracking
3D object tracking using keypoint detection and feature matching, lidar point cloud data, and image classification using YOLO deep learning model.
visva89/pTVreg
Deformable image registration (alignment) toolbox
ohirose/bcpd
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
EdelweissFE/Buzzard
A python tool for parmeter identification in finite element analysis using the optimization algorithms in SciPy.
aschowtjak/ADAPT
ADAPT is designed for the inverse parameter identification of constitutive material models using mathmatical optimisation. It is designed to work with finite element simulations but its modular implementation offers an interface to basically any simulation framework. The tool is able to use global data such as forces as well as local data such as strain or displacement fields for the model calibration. The latter one is based on a robust interpolation scheme for irregular data sets and meshes/query points.
TuxRiders/numerical-computing-intro
An extensive introduction to applied numerical computing: scientific programming, finite difference method, and finite element method
AliKafaei/Demo_code_sPICTURE
Demo code for Lateral Strain Imaging using Self-supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography
code-fabrik/las2stl
Easily generate 3D meshes from a Lidar point cloud
3DOM-FBK/deep-image-matching
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.