A machine learning project to detect gestures using event-based vision
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Updated
Oct 22, 2022 - Jupyter Notebook
A machine learning project to detect gestures using event-based vision
An individual project related to denoising for event camera
This project is an exploratory exercise on event based cameras data. It aims at enhancing classification model performance in accurately classify pronounced words in lip videos.
Classification of event data video
ROS2 wrapper for iniVation event cameras using dv-processing.
Calibration of Dynamic Vision Sensor (event camera) by correcting for lens distortion using OpenCV
Convert raw event camera data into tradiontial images of the stars
Framework for visual tracking on event data by using E2VID and YOLO networks.
Augmentation of event-based machine learning dataset for image segmentation using noise injection
Emulation of event camera data using standard RGB images
A minimal implementation of TimeLens along with custom data for my final project in Computational Photography 15-463 F21
This repository contains a full documentation of several tests made on DHP19 dataset
A general deep learning based event camera data processing toolbox from Institude of Intelligent Vehicle at Tongji Univertsity.
3D reconstruction based on stereo event-camera data, 2020SoSe, TU Berlin
Reconstructing a depth map by from two DAVIS and a controlled laser.
How to Learn a Domain Adaptive Event Simulator? ACM MM, 2021
Time-to-contact map by joint estimation of up-to-scale inverse depth and global motion using a single event camera
Code for generating the SLED dataset, as described in the "Learning to Estimate Two Dense Depths from LiDAR and Event Data" article
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