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vissatsatellitestereo

This is the python interface for adapted COLMAP; you can run both SfM and MVS.

visual-inertial-slam

Build a visual-inertial simultaneous localization and mapping (SLAM) on a moving robot, and based on Extended Kalman Filter (EKF). There is a IMU on the robot to obtain the movement information, and a stereo camera to extract the feature and then obtain the localization information. And after implementing EKF on visual-inertial SLAM, we get a reaso

visual-inertial-slam-1

Utilizes the Extended Kalman Filter (EKF) with stereo camera and IMU data to estimate the 3D pose of an agent and the 3D position of landmarks.

visual-localization-pipeline

Study on VL, SLAM, 3D reconstruction etc.

visual-odometry

Camera Pose Estimation

visual-odometry-1

Actualize Visual Odometry by estimating on-board camera pose based on the estimated fundamental and essential matrices.

visual-odometry-2

Estimate the pose of a camera. We look at features in different frames and track them.

visual-odometry-3

Study of Visual Odometry and Structure from Motion (SFM) problem

visual-odometry-sfm

visual-selective-vio

Code for "Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection", ECCV 2022

visual-slam

visual-slam-1

Visual SLAM learning and training

visual-slam-python

This repo contains several concepts and implimentations of computer vision and visual slam algorithms for rapid prototyping for reserachers to test concepts.

visualfullbodytracking

A research project aiming to provide free, wireless, real-time full body tracking to SteamVR using state of the art deep learning pose estimation, a single camera and Jetson Nano platform.

visualloc

This is a repositry containing functionality for visual place recognition, it will be expanded towards visual odometry, localization and slam.

visuallocalizationbenchmark

visualodometry2bezier

Code published with the paper ”Continuous-Time Trajectory Estimation From Noisy Camera Poses Using Cubic Bézier Curves”

visualodometry_matlab

The goal of this project is to implement a simple, monocular, visual odometry (VO) pipeline with the most essential features: initialization of 3D landmarks, keypoint tracking between two frames, pose estimation using established 2D / 3D correspondences, and triangulation of new land-marks. In addition, camera calibration, self-generated datasets a

visualslam

My work on visual slam and visual odometry

visualslam-1

visualsuperpose

visual_inertial_slam

visual_localization

It shows the localization algorithm based on cameras

visual_slam

Visual SLAM implementation for project course

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

viw-fusion

Visual-inertial-wheel fusion odometry, better performance in scenes with drastic changes in light

vi_slam

My custom SLAM base on ORB_SLAM

vkm

Voight-Kampff Machine to automatically select the optimal threshold for recognizing custom gestures

vl-matching-localization-pipeline

Matching & Localization algorithmic workflow of Visual Localization pipeline (Summer 2023, Research at the ETRI)

vlc-2.2.6.32-2015

vlc-2.2.6 compile with VS2015