Abstract:
An apparatus, system, and method are described for providing real-time capture, processing, and distribution of panoramic virtual reality (VR) content. For example, one embodiment of a graphics processor comprises a video interface to receive a first plurality of images from a corresponding first plurality of cameras; an image rectifier to perform a perspective re-projection of at least some of the first plurality of images to a common image plane to generate a rectified first plurality of images; a stitcher to analyze overlapping regions of adjacent images in the rectified first plurality and to identify corresponding pixels in the overlapping regions and to stitch the adjacent images in accordance with the corresponding pixels to generate a panoramic image comprising a stitched combination of the rectified first plurality of images; and a cylindrical projector to project the panoramic image onto a cylindrical surface to generate a final panoramic video image to be used to implement a virtual reality (VR) environment on a VR apparatus.
Abstract:
Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.
Abstract:
Technologies for multi-factor authentication of a user include a computing device with one or more sensors. The computing device may authenticate the user by analyzing biometric and/or environmental sensor data to determine whether to allow the user access to a computing device. To do so, the computing device may determine reliability scores based on the environment during authentication for each biometric authentication factor used to authenticate the user. Additionally, the computing device may determine a login pattern based on sensor data collected during historical authentication attempts by the user over a period of time. The computing device may apply a machine-learning classification algorithm to determine classification rules, based on the login pattern, applied by the computing device to determine whether to allow the user access to the computing device. Other embodiments are described herein and claimed.