Visual Simultaneous Localization and Mapping (VSLAM) is the process of taking camera feed, as well as its position, and building a map of the current local world, specifically using visual input. This project uses this process, and builds upon it by also tracking objects within a frame. In this comes two problems: object detection, and then subsequent mapping and tracking of objects within a 3D space. For more information go here

Press the button below to start the workflow and view the output

Select An Object To View Point Cloud With That Object Highlighted

point cloud can be manipulated through rotate and zoom