Visual Servoing Platform
version 3.6.1 under development (2023-12-07)
Tracking
This page introduces the user to the way to track objects in images.
Tutorial: Blob tracking
This tutorial introduces blob tracking and detection.
Tutorial: Keypoint tracking
This tutorial focuses on keypoint tracking using Kanade-Lucas-Tomasi feature tracker.
Tutorial: Moving-edges tracking
This tutorial focuses on line and ellipse tracking using moving-edges.
Tutorial: Markerless generic model-based tracking using a color camera
This tutorial focuses on model-based trackers using either moving edges, or keypoints, or a combination of them as visual features on images acquired by a monocular color camera.
Tutorial: Markerless generic model-based tracking using a stereo camera
This tutorial focuses on model-based trackers using either edges, or keypoints, or a combination of them as visual features on images acquired by a stereo color camera.
Tutorial: Markerless generic model-based tracking using a RGB-D camera
This tutorial focuses on generic model-based trackers combining moving edges and/or keypoints with depth visual features.
Tutorial: Markerless generic model-based tracking using AprilTag for initialization (use case)
This tutorial is a simple use case. Using a webcam or an Intel RGB-D camera it shows how to test the generic model tracker on a cube that has an AprilTag glued on one face. The tag is here used to automate the tracker initialization.
Tutorial: Loading a model-based generic tracker from JSON
This tutorial shows how to load and save the full tracker configuration from a json file.
Tutorial: Markerless model-based tracking (deprecated)
This deprecated tutorial focuses on model-based trackers using either edges, keypoints or and hybrid scheme that uses edges and keypoints.
Tutorial: Markerless model-based tracker CAD model editor - GSoC 2017 project
This tutorial presents the project done during the GSoC 2017: two Blender plugins to import/export .cao model file and a Qt-based .cao editor.
Tutorial: How to use Blender to generate simulated data for model-based tracking experiments
This tutorial shows how to use Blender to generate simulated data to test the model-based tracker.
Tutorial: Template tracking
This tutorial focuses on template trackers based on image registration approaches.
Tutorial: Tracking with MegaPose
This tutorial shows how to use megapose, a deep learning pose estimation solution, to perform single object tracking.
Tutorial: Exporting a 3D model to MegaPose after reconstruction with NeRF
This tutorial shows how to prepare your 3D model for usage in megapose after reconstruction with Neural Radiance Fields (NeRF).
Tutorials
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