nnu-gisa Goto Github PK
Name: NNU-GISA
Type: User
Company: Nanjing Normal University
Location: Nanjing
Name: NNU-GISA
Type: User
Company: Nanjing Normal University
Location: Nanjing
Clustering based Scan-Registration for fused sensor data
A no dependency, header-only, license free, fast supervoxel segmentation library for 3D point clouds
Source code implementation for "Video Object Segmentation using Supervoxel-Based Gerrymandering."
Part of my PhD research work.
Detect and describe regions with high surface variation in RGB-D point clouds.
Robust Point Matching for Multimodal Retinal Image Registration. (BSPC 2015)
使用Surf特征对图像进行特征检测,RANSAC剔除误匹配,对两帧RGBD数据进行点云配准
UBC Course Project for CPSC 524 (Computer Graphics Modelling)
This is a tool.code for CVPR2019 paper 1899: Deep Surface Normal Guided Depth Prediction for Outdoor Secene from Sparce Lidar Data and Single Color Image.
source code for my "Surface prediction for a single image of urban scenes" publication
Repo of code written for surface reconstruction from point clouds
A working copy of the code from "A Benchmark for Surface Reconstruction" by Berger et. Al
Water Tight Surface Reconstruction of 3D Point Cloud Data using the Ball Pivoting Algorithm
Given a surface triangulation, the program partitions the mesh into segments such that geometric edges are resolved.
surface extraction from point cloud, lab code for tinker 2016
surface reconstruction from unstructured 3d point cloud data using cgal and pcl
Source code for CVPR 2018 Oral paper "Surface Networks"
Produce a surface from a set of 3D points. The input is a set of 3D points with associated normal vector and the output is surface .
An implementation of the algorithm described in the article "Optimal Step Nonrigid ICP Algorithms for Surface Registration" by Brian Amberg, Sami Romdhani and Thomas Vetter
Code & data for SurfConv paper at CVPR18
Real-time surfel-based mesh reconstruction from RGB-D video.
SurfelWarp: Efficient Non-Volumetric Dynamic Reconstruction
The application extracts a point cloud from all visible surfaces of a mesh model; it ignores all hidden surfaces.
code and data associated with the paper "Unsupervised Deep Learning for Structured Shape Matching"
A feature extractor based on Python 3, Tensorflow and Scikit-learn created in order to improve the accuracy of SVM to classify MNIST dataset fast and with more accuracy.
Using Libsvm and svm in opencv to recognize minist dataset
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.