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Visual tracking and visual servoing library
Showing 3 of 3 projects. Click any project card for scope, mentors, and proposal studio.
Mentors: Student: Utkarsh Tripathi
<p>Computer vision algorithms in ViSP (Visual Servoing Platform) such as pose estimation and tracking have the potential to benefit Augmented Reality (AR) community and could be used for various AR applications in general. In this project, Unity (a cross-platform game engine) is suitably adapted to support augmented reality environment and is integrated with ViSP based april-tag pose estimation and tracking algorithms. Finally, virtual objects are augmented in the Unity scene based on detected pose of april-tag to create AR demonstration. This integration is further extended to markerless model-based tracking using CAD models to support complex AR applications.</p>
Mentors: Student: Akshay Sharma-1
<p>The objective of my project is to offer the ViSP community an SDK for Android, containing:</p> <ul> <li>Build scripts</li> <li>Adapting existing files</li> <li>Creating the Java/JNI Module</li> <li>Doxygen Documentation</li> <li>Tutorials and Videos</li> <li>Sample Executables</li> </ul>
Mentors: Student: Vikas Thamizharasan
<p>ViSP supports CAD model in .cao format or in .vrml format which are needed for Markerless model-based tracker module. Currently, the creation of .cao model formats, which is a homemade file format, and its corresponding config files has to be done manually. The goal of this project is to automate this process by providing extensive tools to achieve perfect and loss-less conversion from existing 3D file formats to .cao and also generation from scratch:</p> <p>1) Develop dedicated Blender plugin to edit and convert from classical 3D file format (for example .obj) to home-made CAD model file format.</p> <p>2) Develop a very simple CAD model viewer and editor that allows to add ViSP MBT specific characteristics to a face or a line such as a label or a level of details (lod).</p>