Dr. Chenlei Lv (vvvwo)

vvvwo

Geek Repo

Company:Shenzhen University.

Location:Shenzhen, China.

Home Page:https://aliexken.github.io/

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Dr. Chenlei Lv's repositories

Parallel-Structure-for-Meshing

The code of Parallel Structure, which is used to reconstruct mesh from 3D Point Cloud.

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AIVS-project

Approximate Intrinsic Voxel Structure for Point Cloud Simplification

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KSS-ICP

This is a project for 3D point cloud registration task

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II-resampling

The implementation for Intrinsic and Isotropic Resampling for 3D Point Clouds

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CG_Lesson

This is a computer graphics course for entry-level learner

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Intrinsic-Parameterization

This project is used to implement the intrinisc parameterization for 3D surface.

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Parallel-Structure-ShapeReconstruction

This project is proposed for quick shape reconstruction from a point cloud with certain point number.

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Fast-Robust-ICP-EXE

The executable is compiled from the project:Fast-Robust-ICP,proposed by Prof. Zhang Juyong.

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Color_Transfer_Histogram_Analogy

[CGI 2020] The Official PyTorch Implementation for "Deep Color Transfer using Histogram Analogy"

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CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

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FHFH-feature-extration

Based on the pcl, we extract FPFH features from a point cloud and store into a file

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image-quality-assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

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PCA-based-Point-Cloud-Alignment

The program is used to align point clouds. It can be used to reduce the influence of rotation

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PCAlign

Python implementation of the paper "PCAlign A General Data Augmentation Framework for Point Clouds".

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PKSS-Align

It is an implementation for “PKSS-Measurement: A Robust Point Cloud Registration\\based on Pre-Kendall Shape Space”

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Point-Cloud-Rendering

This program is used to tansfer a point cloud (.ply) into a ball-based model for high-quality rendering

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pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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