A Pose Estimator for Dense Reconstruction with the Structured Light Illumination Sensor

Last update: Dec 19, 2022

Related tags

Deep Learning Phase-SLAM

Overview

Phase-SLAM

A Pose Estimator for Dense Reconstruction with the Structured Light Illumination Sensor

This open source is written by MATLAB

Run Mode

Open one of the Name_00xU.m or Name_00xR.m by MATLAB, for example David_001U.m (each of them corresponds to a dataset).
Run it.
No other dependencies are required.

The ground-truth models and reconstruction results are shown in fig:

The (a)-(c) are unreal datasets built in Unreal Engineer 4 simulator, (e)-(f) are real-world datasets collected by structured light sensor with UR5 robotic arm. The bottom row is ground truth, the top row is result.

Related Paper

Phase-SLAM: Mobile Structured Light Illumination for Full Body 3d Scanning, Xi Zheng, Rui Ma, Rui Gao, and Qi Hao, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2021
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination Systems, Xi Zheng, Rui Ma, Rui Gao, and Qi Hao, under review

Owner

Xi Zheng

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A Pose Estimator for Dense Reconstruction with the Structured Light Illumination Sensor

Related tags

Overview

Phase-SLAM

A Pose Estimator for Dense Reconstruction with the Structured Light Illumination Sensor

Run Mode

Related Paper

Owner

Xi Zheng

IEEE-CIS Technical Challenge on Predict+Optimize for Renewable Energy Scheduling

PyTorch implementation of adversarial patch

Implementation of the algorithm shown in the article "Modelo de Predicción de Éxito de Canciones Basado en Descriptores de Audio"

PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data.

Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

Using python and scikit-learn to make stock predictions

Implementation of a Transformer using ReLA (Rectified Linear Attention)

End-to-End Speech Processing Toolkit

AdelaiDepth is an open source toolbox for monocular depth prediction.

Code for the AI lab course 2021/2022 of the University of Verona

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Implementation of H-UCRL Algorithm

Python Classes: Medical Insurance Project using Object Oriented Programming Concepts

Sdf sparse conv - Deep Learning on SDF for Classifying Brain Biomarkers

BasicRL: easy and fundamental codes for deep reinforcement learning。It is an improvement on rainbow-is-all-you-need and OpenAI Spinning Up.

Tensorflow implementation of "Learning Deconvolution Network for Semantic Segmentation"

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Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

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