Real-Time Camera Pose Estimation for Virtual Reality Navigation Arthur Louis Alaniz II, Christina Marianne Mantaring Department of Electrical Engineering, Stanford University

Our “Vir-tual Vision” simulator has been a potent tool in our quest for innovative camera control strategies that naturally ad-dress camera aggregation and handoff, are robust against camera and …

In this work we focus on developing a virtual reality user inter- face allowing human operators to manually design camera networks in an intuitive manner.

We provide an overview of the concerns, current practice, and limitations for capturing, reconstructing, and representing the real world visually within virtual reality.

We design and exper- iment with simulated camera networks within visually and behaviorally realistic virtual environments.

The system starts with the capturing of live videos using RICOH THETA S, a 360° camera. This type of camera produces videos in dual fish eye format. The THETA UVC Blender, a driver provided by the …

We used the traditional Camera mapping technology to convert the image of a sphere to a 3D model of a cube using 360° video as a reference and overcome the limitation of 360° video to 3-DoF to realize …