fdp0525 Goto Github PK

libfreenect2pclgrabber

a grabber for the kinect2 which returns a registered pcl point cloud

libisr

Implicit Shape Representation for 3D Tracking and Reconstruction

light_estimation_from_phtographs

Estimate light from photographs using spherical harmonic and other methode

lightingconsistencybasedcolortransferbetweenimages

Color Transfer

lihang

Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]

lineslam

Line feature based RGBD SLAM, supporting fusion with point feature

manhattan_sdf

Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral

mapmap_cpu

A high-performance general-purpose MRF MAP solver, heavily exploiting SIMD instructions.

mesh2rgbd

This tool takes a mesh file as its input, and outputs an RGB image and a depth image.

meshsimplification

Mesh simplification pipeline

mrsmap

MRSMap implementation

mrsmap-1

Automatically exported from code.google.com/p/mrsmap

multi-spectral-dataset

mvs-texturing

Algorithm to texture 3D reconstructions from multi-view stereo images

mvsdf

Learning Signed Distance Field for Multi-view Surface Reconstruction

nbo-autoscanning

Object-Aware Guidance for Autonomous Scene Reconstruction

ncc

Normalized Cross Correlation

ndptmvd

Source code for our paper "Neural Denoising for Path Tracing of Medical Volumetric Data"

neat

nerf

Code release for NeRF (Neural Radiance Fields)

neural-rgbd-surface-reconstruction

neuralbody

Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate

neuralrecon

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

neutex

objectslam

onlinesurfacereconstruction

openchisel

An open-source version of the Chisel chunked TSDF library.

opvo

Sample code of BMVC 2017 paper: "Visual Odometry with Drift-Free Rotation Estimation Using Indoor Scene Regularities"

paper-breakdown-the-unreasonable-effectiveness-of-deep-features-as-a-perceptual-metric

This repo is for me to break down the details of the paper The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

peac

PEAC(Plane Extraction using Agglomerative Clustering) is a fast plane segmentation algorithm for organized point cloud. This is a fork of peac (http://www.merl.com/research/license)