Browsing by Author "Akalwadi, Siddharth"

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    InteriorVR
    Babbitt, Judd; Towle, Ryan; Akalwadi, Siddharth; Pearl, Brandon; Linares, Daniel (2022-05-01)
    InteriorVR is an application that gives potential home buyers the freedom to customize their new home however they want. While the software is meant to be used in virtual reality so users can get the most immersive experience possible, it can also be used on a desktop with a mouse and keyboard. As opposed to a normal virtual reality house tour, InteriorVR allows the user to add in new pieces of furniture or appliances, take away anything they feel doesn’t fit the space, or modify any existing or added objects in the home. Furniture and appliances can be moved, rotated, and even have their color changed to test out different materials. The other main selling point that separates InteriorVR from your average run of the mill virtual house tour is that you can compare two different homes at the same time. The users can instantly teleport between comparable spaces in two different homes. This helps the user make easy comparisons between different rooms in different homes. InteriorVR is the next revolution in virtual house tours because it gives the home buyers more power and flexibility than ever when evaluating potential homes.
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    Projected Augmented-Reality
    Malhotra, Shorya; Long, Zachary; Prasad, Dilan; Akalwadi, Siddharth (Virginia Tech., 2021-12-14)
    Augmented Reality is one of the core pillars of the upcoming Industry 4.0 (the next industrial revolution) and is expected to have an enormous impact in the future. This is supported by Meta’s (formerly Facebook) announced plans to unveil their own virtual reality world. Typically, extended reality experiences, like that of Meta and others we have seen, require users to make use of personal headsets. Our project, on the other hand, developed technology for a communal augmented reality experience without the need for personal devices. Our team developed a calibration system to bring this glasses-free augmented reality experience to life. The approach we took involved a projector, a powerful Windows Desktop, a Microsoft Azure Kinect Camera, and a Qualisys Motion Tracking system. Combining these hardware components, we were able to track objects entering the projector’s frustum and accurately display 3D images on moving physical objects. Our final product entailed a C++ script that utilized OpenCV’s ArUco Marker detection module to estimate positions and scales of markers, a Qualisys Motion Tracking system to track rigid bodies moving around the room, a Unity program to tie all the hardware components together, and necessary documentation for further development of our project. We found that the best way to approach this problem was to first project a scatter board of 25 ArUco markers on the physical calibration board. With the help of OpenCV and the Azure Kinect Camera, we then panned and scaled one projected ArUco marker to the center of the physical calibration board. Once OpenCV determined the ArUco marker was centered, the calibration was completed. Any graphic could then be accurately projected onto the moving board, giving the user an elegant glasses-free augmented reality experience.