232 Open source projects that are alternatives of or similar to isosurface

Isosurface extraction using Marching Cubes and pure WebGL.

Meshing and isosurface extraction algorithms

Dual Marching Cubes Implementation in C++

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

Paper list of deep learning on point clouds.

Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea

Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

No description or website provided.

Efficient 3D Deep Learning

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.

The PyTorch Implementation of F-ConvNet for 3D Object Detection

Autonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…

IsoMesh is a group of related tools for Unity for converting meshes into signed distance field data, raymarching signed distance fields, and extracting signed distance field data back to meshes via surface nets or dual contouring.

OpenCV .Net application supporting several RGBD cameras - Kinect, Intel RealSense, Luxonis Oak-D, Mynt Eye D 1000, and StereoLabs ZED 2

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

register 3D point clouds using rotation, translation, and scale transformations.

Semantic3D segmentation with Open3D and PointNet++

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Experiments on unsupervised point cloud reconstruction.

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

Stream openni2 depth images over the network

Pet project to learn compute shaders.

Learning Convolutional Transforms for Point Cloud Geometry Compression

C++ code for triangulating Point Cloud data and displaying it

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral

TF2 implementation of PointNet for segmenting point clouds

An experimental voxel engine.

Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

ROS 2 wrapper beta for the ZED SDK

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

This project's main goal is to generate and visualize terrain built using voxels. It was achieved using different approaches and computing technologies just for the sake of performance and implementation comparison.

Templated python inferface for Point Cloud Library (PCL) based on Cython

CVPR 2020 papers focusing on point cloud analysis

30th June, 2019 - 30th June, 2020. Robotics and Machine Intelligence Lab, The Hong Kong Polytechnic University. This work is supported in part by the Chinese National Engineering Research Centre for Steel Construction (Hong Kong Branch) at The Hong Kong Polytechnic University under grant BBV8, in part by the Research Grants Council of Hong Kong …

Server authoritative multiplayer shooter game with fully destructible terrain

Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'

Official PyTorch code for the paper: "Point-Based Modeling of Human Clothing" (ICCV 2021)

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

Edge-detection application with PointCloud Library

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

This is the official repository of the open-source Open Infra Platform software (as of April 2020).

No description or website provided.

ECCV 2020 papers focusing on point cloud analysis

Creating real-time dynamic Point Clouds using PyQtGraph, Kinect 2 and the python library PyKinect2.

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

LiDAR fog simulation

Julia bindings for the displaz lidar viewer

Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

A dual Marching Cubes method using cuboids, based on greedy meshing. Suitable for use with a uniform grid of data derived from multiple depth maps.

Improved Deep Point Cloud Geometry Compression