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Fickrie Muhammad's Projects

camodocal icon camodocal

CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

ccny_vision icon ccny_vision

Fork of http://robotics.ccny.cuny.edu/git/ccny-ros-pkg/ccny_vision.git with some fixes

gopro_ros icon gopro_ros

Extacting synchronized Images and IMU data from GoPro Video for VIO

handeye_calib_camodocal icon handeye_calib_camodocal

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

image_pub icon image_pub

ROS node to publish as an Image topic the content of a mp4 file.

indoormapping icon indoormapping

Generate dense point cloud based on ORB-SLAM, and build indoor navigation map using OctoMap.

kalibr icon kalibr

The Kalibr visual-inertial calibration toolbox

lsd_slam icon lsd_slam

This a slight revised version of LSD-SLAM to work with Ubuntu 20.04 and ROS Noetic.

opencv icon opencv

Open Source Computer Vision Library

optimizedimageenhance icon optimizedimageenhance

Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.

orb_slam2 icon orb_slam2

ORB_SLAM2 with monocular reconstruction support using REMODE

orb_slam3 icon orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

pinax-camera-model icon pinax-camera-model

"The Pinax-Model for Accurate and Efficient Refraction Correction of Underwater Cameras in Flat-Pane Housings" code release

ptam icon ptam

PTAM (Parallel Tracking and Mapping)

refractivesfm icon refractivesfm

This repository contains code for refractive structure-from-motion

rosbag2video icon rosbag2video

converts image sequence in ros bag files to video files

rpg_open_remode icon rpg_open_remode

This repository contains an implementation of REMODE (REgularized MOnocular Depth Estimation), as described in the paper.

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