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flyinggh's Projects

mono_slam_framework icon mono_slam_framework

General purpose monocular SLAM framework based on ORB-SLAM pipeline, created to compare different feature matchers.

monocular_slam-1 icon monocular_slam-1

Implementation of monocular SLAM using Bundle Adjustment and Key Frame Techniques

monocular_visual_graph_slam icon monocular_visual_graph_slam

An implementation of Graph-based SLAM using only an onboard monocular camera. Developed as part of MSc Robotics Masters Thesis (2017) at University of Birmingham.

monoslam icon monoslam

Single camera SLAM for Augmented Reality

morb_slam icon morb_slam

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

motion_detection icon motion_detection

"Real-time human pose detection using OpenCV & MediaPipe. Detects poses from camera feed, visualizing landmarks & connections. Differs between humans & machines. Ideal for interactive applications. Python, OpenCV, and MediaPipe required."

mp2_dms_pso icon mp2_dms_pso

MATLAB implementation image sparse decomposition (matching pursuit with PSO optimization).

msckf_mono icon msckf_mono

VIO_Learning. A simple implement of mono msckf in https://github.com/TurtleZhong/msckf_mono/tree/master/src/msckf_mine_1.0

msckf_vio_loop icon msckf_vio_loop

msckf_vio with loop detection and global pose graph optimization

multi-view-geometry icon multi-view-geometry

Computer vision algorithms developed for feature detection and matching, linear and non-linear projection matrix estimation, camera pose estimation, Outliers rejection, Fundamental/Essential matrix estimation and 3D reconstruction

multitask-hydranet icon multitask-hydranet

multitask mono camera perception with three tasks: object detection; lane detection; semantic segmentation

multiview icon multiview

Image and depth+image rig calibration, image and mesh co-registration, bundle adjustment, large-scale mesh generation, and seamless texturing

multiview-1 icon multiview-1

3D computer vision and action recognition research library

multiview-3d-reconstruction icon multiview-3d-reconstruction

Using traditional image processing techniques to construct 3D point cloud of objects. Incremental Structure from Motion (SfM) is used, a popular SfM algorithm for 3D reconstruction for reconstruction. The method is then evaluated using certain 3D reconstruction datasets.

multiview-3d-reconstruction-1 icon multiview-3d-reconstruction-1

Using traditional image processing techniques to construct 3D point cloud of objects. Incremental Structure from Motion (SfM) is used, a popular SfM algorithm for 3D reconstruction for reconstruction. The method is then evaluated using certain 3D reconstruction datasets.

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