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obuil's Projects

3d-tiles icon 3d-tiles

Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:

3dmppe_posenet_release icon 3dmppe_posenet_release

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image ", ICCV 2019

cloudviewer icon cloudviewer

A cross-platform point cloud visualization software powered by PCL and Qt.

draco icon draco

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

interhand2.6m icon interhand2.6m

Official PyTorch implementation of "InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image", ECCV 2020

irisfacergbd icon irisfacergbd

3D face modeling and recognition using a depth camera (RGBD)

k4agrabber icon k4agrabber

Kinect Azure DK Grabber of PCL (Point Cloud Library).

kfusion icon kfusion

This is an implementation sketch of the KinectFusion system described by Newcombe et al.

learnable-triangulation-pytorch icon learnable-triangulation-pytorch

This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!

libfacedetection icon libfacedetection

An open source library for face detection in images. The face detection speed can reach 1000FPS.

livescan3d icon livescan3d

LiveScan3D is a system designed for real time 3D reconstruction using multiple Kinect v2 depth sensors simultaneously at real time speed.

mvsnet icon mvsnet

MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

nodemcu icon nodemcu

NodeMcu use lua code to resevole u lot problem

open3d icon open3d

Open3D: A Modern Library for 3D Data Processing

osgjs icon osgjs

Javascript Implementation of OpenSceneGraph

pcl icon pcl

Point Cloud Library (PCL)

pointmvsnet icon pointmvsnet

Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral)

read icon read

AAAI2023,implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods

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