Abstract: Systems and methods are provided to perform BIOS recovery for a first information handling system that is in a no-boot state, i.e., in which the original equipment manufacturer (OEM) boot block (OBB) on the first information handling system is corrupted or damaged and thus does not properly execute. OBB BIOS recovery may be achieved using logic executing on a second and different information handling system that is wirelessly communicating with initial boot block (IBB) BIOS firmware that is executing on the first information handling system. The logic executing on the second information handling system may select and download (e.g., from a remote server) a correct uncorrupted and undamaged copy of the BIOS recovery firmware version for the first information handling system, and then wirelessly transfer the downloaded new copy of the OBB BIOS firmware version to the first information handling system via an established secure wireless connection.

Abstract: Systems and methods are provided to perform BIOS recovery for a first information handling system that is in a no-boot state, i.e., in which the original equipment manufacturer (OEM) boot block (OBB) on the first information handling system is corrupted or damaged and thus does not properly execute. OBB BIOS recovery may be achieved using logic executing on a second and different information handling system that is wirelessly communicating with initial boot block (IBB) BIOS firmware that is executing on the first information handling system. The logic executing on the second information handling system may select and download (e.g., from a remote server) a correct uncorrupted and undamaged copy of the BIOS recovery firmware version for the first information handling system, and then wirelessly transfer the downloaded new copy of the OBB BIOS firmware version to the first information handling system via an established secure wireless connection.

Abstract: Techniques for analyzing traffic originating from a host device in a wireless network to identify one or more virtual machines (VMs) running on the host device and connected to the network via the host device in bridge mode. When a VM is created in bridge mode behind a host device, the traffic originated by the VM will have the source Media Access Layer (MAC) address of the host device. According to techniques described herein, devices and/or components associated with the network may profile the traffic to identify an address of the VM, such as by analyzing dynamic host configuration protocol (DHCP) packets to determine the Internet Protocol (IP) address of the VM. Once the IP address and the MAC address of the VM is known, the components and/or devices may apply security policies to the VM that may be different than security policies applied to the host device.

Abstract: A lighting stage includes a plurality of lights that project alternating spherical color gradient illumination patterns onto an object or human performer at a predetermined frequency. The lighting stage also includes a plurality of cameras that capture images of an object or human performer corresponding to the alternating spherical color gradient illumination patterns. The lighting stage also includes a plurality of depth sensors that capture depth maps of the object or human performer at the predetermined frequency. The lighting stage also includes (or is associated with) one or more processors that implement a machine learning algorithm to produce a three-dimensional (3D) model of the object or human performer. The 3D model includes relighting parameters used to relight the 3D model under different lighting conditions.

Abstract: This disclosure describes systems and techniques for synchronizing cameras and tagging images for face authentication. For face authentication by a facial recognition model, a dual infrared camera may generate an image stream by alternating between capturing a “flood image” and a “dot image” and tagging each image with metadata that indicates whether the image is a flood or a dot image. Accurately tagging images can be difficult due to dropped frames and errors in metadata tags. The disclosed systems and techniques provide for the improved synchronization of cameras and tagging of images to promote accurate facial recognition.

Abstract: Techniques of tracking a user's gaze includes identifying a region of a display at which a gaze of a user is directed, the region including a plurality of pixels. By determining a region rather than a point, when the regions correspond to elements of a user interface, the improved technique enables a system to activate the element to which a determined region is selected. In some implementations, the system makes the determination using a classification engine including a convolutional neural network; such an engine takes as input images of the user's eye and outputs a list of probabilities that the gaze is directed to each of the regions.

Abstract: The methods and systems described herein provide for depth-aware image editing and interactive features. In particular, a computer application may provide image-related features that utilize a combination of a (a) the depth map, and (b) segmentation data to process one or more images, and generate an edited version of the one or more images.

Abstract: According to an aspect, a real-time active stereo system includes a capture system configured to capture stereo data, where the stereo data includes a first input image and a second input image, and a depth sensing computing system configured to predict a depth map. The depth sensing computing system includes a feature extractor configured to extract features from the first and second images at a plurality of resolutions, an initialization engine configured to generate a plurality of depth estimations, where each of the plurality of depth estimations corresponds to a different resolution, and a propagation engine configured to iteratively refine the plurality of depth estimations based on image warping and spatial propagation.

Abstract: A method including transmitting, by a peripheral device communicatively coupled to a wearable device, a frequency-modulated continuous wave (FMCW), receiving, by the peripheral device, a reflected signal based on the FMCW, tracking, by the peripheral device, a movement associated with the peripheral device based on the reflected signal, and communicating, from the peripheral device to the wearable device, an information corresponding to the movement associated with the peripheral device.

Abstract: The methods and systems described herein provide for depth-aware image editing and interactive features. In particular, a computer application may provide image-related features that utilize a combination of a (a) the depth map, and (b) segmentation data to process one or more images, and generate an edited version of the one or more images.

Abstract: A method including receiving (S605) a request for a depth map, generating (S625) a hybrid depth map based on a device depth map (110) and downloaded depth information (105), and responding (S630) to the request for the depth map with the hybrid depth map (415). The device depth map (110) can be depth data captured on a user device (515) using sensors and/or software. The downloaded depth information (105) can be associated with depth data, map data, image data, and/or the like stored on a remote (to the user device) server (505).

Abstract: Smart glasses including a first audio device, a second audio device, a frame including a first portion, a second portion, and a third portion, the second portion and the third portion are moveable in relation to the first portion, the second portion including the first audio device and the third portion including the second audio device, and a processor configured to cause the first audio device to generate a signal, receive the signal via the second audio device, estimate a distance based on the received signal, and determine a configuration of the frame.

Abstract: A method including receiving an image from a sensor of a wearable device, rendering the image on a display of the wearable device, identifying a set of targets in the image, tracking a gaze direction associated with a user of the wearable device, rendering, on the displayed image, a gaze line based on the tracked gaze direction, identifying a subset of targets based on the set of targets in a region of the image based on the gaze line, triggering an action, and in response to the trigger, estimating a candidate target based on the subset of targets.

Abstract: A personal navigation system includes a sensing suite (50) that is configured to find a safety route for a person; a set of modules (200) including a generation module that is configured to generate an auditory-haptic content (70) that is not perceived visually but perceived by auditory sense or haptic sense and indicates the found safety route; and a communication device (30) that is configured to communicate the auditory-haptic content to the person.

Abstract: This document describes techniques and systems that enable automatic exposure and gain control for face authentication. The techniques and systems include a user device initializing a gain for a near-infrared camera system using a default gain. The user device ascertains patch-mean statistics of one or more regions-of-interest of a most-recently captured image that was captured by the near-infrared camera system. The user device computes an update in the initialized gain to provide an updated gain that is usable to scale the one or more regions-of-interest toward a target mean-luminance value. The user device dampens the updated gain by using hysteresis. Then, the user device sets the initialized gain for the near-infrared camera system to the dampened updated gain.

Abstract: A method including receiving a first depth image associated with a first frame at a first time of an augmented reality (AR) application, the first depth image representing at least a first portion of a real-world space storing the first depth image receiving a second depth image associated with a second frame at a second time, after the first time, of the AR application, the second depth image representing at least a second portion of the real-world space generating a real-world image by blending, at least, the stored first depth image with the second depth image receiving a rendered AR object combining the AR object in the real-world image and displaying the real-world image combined with the AR object.

Abstract: Techniques of tracking a user's gaze includes identifying a region of a display at which a gaze of a user is directed, the region including a plurality of pixels. By determining a region rather than a point, when the regions correspond to elements of a user interface, the improved technique enables a system to activate the element to which a determined region is selected. In some implementations, the system makes the determination using a classification engine including a convolutional neural network; such an engine takes as input images of the user's eye and outputs a list of probabilities that the gaze is directed to each of the regions.

Abstract: According to an aspect, a method for depth estimation includes receiving image data from a sensor system, generating, by a neural network, a first depth map based on the image data, where the first depth map has a first scale, obtaining depth estimates associated with the image data, and transforming the first depth map to a second depth map using the depth estimates, where the second depth map has a second scale.

Abstract: This document describes techniques and systems that enable automatic exposure and gain control for face authentication. The techniques and systems include a user device initializing a gain for a near-infrared camera system using a default gain. The user device ascertains patch-mean statistics of one or more regions-of-interest of a most-recently captured image that was captured by the near-infrared camera system. The user device computes an update in the initialized gain to provide an updated gain that is usable to scale the one or more regions-of-interest toward a target mean-luminance value. The user device dampens the updated gain by using hysteresis. Then, the user device sets the initialized gain for the near-infrared camera system to the dampened updated gain.

Abstract: This disclosure describes systems and techniques for synchronizing cameras and tagging images for face authentication. For face authentication by a facial recognition model, a dual infrared camera may generate an image stream by alternating between capturing a “flood image” and a “dot image” and tagging each image with metadata that indicates whether the image is a flood or a dot image. Accurately tagging images can be difficult due to dropped frames and errors in metadata tags. The disclosed systems and techniques provide for the improved synchronization of cameras and tagging of images to promote accurate facial recognition.