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Department of Electrical and Electronic Engineering
Mapping Real-World Objects into Virtual Reality to Facilitate Interaction using 6DoF Pose Estimation
This research explores how real-world objects can be mapped into virtual reality using 6DoF pose estimation and deep learning to create a more immersive, tactile VR experience. By combining convolutional neural networks with low-cost...
Department of Electrical and Electronic Engineering
SUMediPose: A 2D-3D pose estimation dataset
SUMediPose is a high-precision, multimodal 2D–3D human pose estimation dataset developed to address the limitations of existing markerless motion capture systems. By combining gold-standard marker-based Vicon motion capture with...