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Dong, Zilong's Projects

android-ocr icon android-ocr

Experimental app for optical character recognition on Android.

aria_data_tools icon aria_data_tools

Aria data tools provide the open-source toolkit in C++ and Python to interact with data from Project Aria (https//about.facebook.com/realitylabs/projectaria/)

arkit-scnpath icon arkit-scnpath

Create paths for your Augmented Reality environments using just points to represent the centre of the path.

assimp icon assimp

Official Open Asset Import Library Repository. Loads 40+ 3D file formats into one unified and clean data structure.

babylon.js icon babylon.js

Babylon.js is a powerful, beautiful, simple, and open game and rendering engine packed into a friendly JavaScript framework.

basalt-mirror icon basalt-mirror

Mirror of the Basalt repository. All pull requests and issues should be sent to https://gitlab.com/VladyslavUsenko/basalt

bifusev2 icon bifusev2

BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation

bm3d icon bm3d

Clone from http://www.cs.tut.fi/~foi/GCF-BM3D/index.html#ref_software

bundlefusion icon bundlefusion

BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

but_velodyne icon but_velodyne

ROS packages for Velodyne 3D LIDARs provided by Robo@FIT group.

cartographer icon cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cbdnet icon cbdnet

Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019

cctag icon cctag

Detection of CCTag markers made up of concentric circles.

chilitags icon chilitags

Robust Fiducial Markers for Augmented Reality And Robotics

cilantro icon cilantro

A lean C++ library for working with point cloud data

cmake icon cmake

CMake, the cross-platform, open-source build system.

cmvs-pmvs icon cmvs-pmvs

This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).

color-transfer-between-images icon color-transfer-between-images

This is the open-source implement the paper "Color Transfer between Images" by Erik Reinhard, Michael Ashikhmin, Bruce Gooch and Peter Shirley.

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