Abstract: Techniques for aligning images generated by an integrated camera physically mounted to an HMD with images generated by a detached camera physically unmounted from the HMD are disclosed. A 3D feature map is generated and shared with the detached camera. Both the integrated camera and the detached camera use the 3D feature map to relocalize themselves and to determine their respective 6 DOF poses. The HMD receives the detached camera's image of the environment and the 6 DOF pose of the detached camera. A depth map of the environment is accessed. An overlaid image is generated by reprojecting a perspective of the detached camera's image to align with a perspective of the integrated camera and by overlaying the reprojected detached camera's image onto the integrated camera's image.

Abstract: Disclosed herein are techniques for providing an illumination system that emits illumination into an environment while also enabling that system to be undetectable to certain types of external light detection systems. The system includes a single photon avalanche diode (SPAD) low light (LL) detection device and a light emitting device. The light emitting device provides illumination having a wavelength of at least 950 nanometers (nm). An intensity of the illumination is set to a level that causes the illumination to be undetectable from a determined distance away based on the roll off rate of the light. While the light emitting device is providing the illumination, the SPAD LL detection device generates an image of an environment in which the illumination is being provided.

Abstract: Techniques for generating a high resolution full color output image from lower resolution sparse color input images are disclosed. A camera generates images. The camera's sensor has a sparse Bayer pattern. While the camera is generating the images, IMU data for each image is acquired. The IMU data indicates a corresponding pose the camera was in while the camera generated each image. The images and IMU data are fed into a motion model, which performs temporal filtering on the images and uses the IMU data to generate a red-only image, a green-only image, a blue-only image, and a monochrome image. The color images are up-sampled to match the resolution of the monochrome image. A high resolution output color image is generated by combining the up-sampled images and the monochrome image.

Abstract: Techniques for evaluating multiple images, which originate from multiple different sources, and for selecting specific images to generate an overlaid image are disclosed. A first set of system camera images (e.g., based on a first FPS rate) and a second set of external camera images (e.g., based on a second FPS rate) are obtained. A set of rules are accessed in order to govern a selection process for selecting a specific system camera image and a specific external camera image. The selected images are designated for use in generating an overlaid image. The selection process is performed using the accessed set of rules. The overlaid image is generated by overlaying and aligning content obtained from the selected images.

Abstract: A computer-implemented method performed by a depository computing system includes receiving a check deposit and a withdrawal request associated with a customer account of a customer where the customer account is associated with a first amount and the withdrawal request comprises a second amount greater than the first amount, forwarding an inquiry message regarding the check deposit to a paying computing system, determining real time account status information of a payor account of a payor, and authorizing in real time relative to when the real time account status information is accessed, the withdrawal request for the second amount where the authorization occurs prior to settlement of the check deposit.

Abstract: A system for dark current compensation in SPAD imagery is configurable to capture an image frame with the SPAD array and generate a temporally filtered image by performing a temporal filtering operation using the image frame and at least one preceding image frame. The at least one preceding image frame is captured by the SPAD array at a timepoint that temporally precedes a timepoint associated with the image frame. The system is also configurable to obtain a dark current image frame. The dark current image frame includes data indicating one or more SPAD pixels of the plurality of SPAD pixels that detect an avalanche event without detecting a corresponding photon. The system is also configurable to generate a dark current compensated image by performing a subtraction operation on the temporally filtered image or the image frame based on the dark current image frame.

Abstract: Improved techniques for re-localizing Internet-of-Things (IOT) devices are disclosed herein. Sensor data digitally representing one or more condition(s) monitored by an IOT device is received. In response, a sensor readings map is accessed, where this map is associated with the IOT device. The map also digitally represents the IOT device's environment and includes data representative of a location of the IOT device within the environment. The map also includes data representative of the conditions monitored by the IOT device. Additionally, the map is updated by attaching the sensor data to the map. In some cases, a coverage map can also be computed. Both the sensors readings map and the coverage map can be automatically updated in response to the IOT device being re-localized.

Abstract: Techniques for correcting an overlay misalignment between an external camera image and a system camera image are disclosed. A first system camera image and a first external camera image are acquired. A first visual alignment is performed between those two images to produce an overlaid image. Some of the content in the overlaid image is surrounded by a bounding element. A position of the bounding element is modified based on movements of the system camera and/or the external camera. In response to performing a second visual alignment using new images, an update vector is computed. Relative movement between the two cameras is determined. Based on the movement and based on the update vector, the bounding element is progressively transitioned to a corrected position in the overlaid image. A speed by which the bounding element is progressively transitioned is proportional to the amount of movement.

Abstract: Techniques for aligning images generated by two cameras are disclosed. This alignment is performed by computing a relative 3D orientation between the two cameras. A first gravity vector for a first camera and a second gravity vector for a second camera are determined. A first camera image is obtained from the first camera, and a second camera image is obtained from the second camera. A first alignment process is performed to partially align the first camera's orientation with the second camera's orientation. This process is performed by aligning the gravity vectors, thereby resulting in two degrees of freedom of the relative 3D orientation being eliminated. Visual correspondences between the two images are identified. A second alignment process is performed to fully align the orientations. This process is performed by using the identified visual correspondences to identify and eliminate a third degree of freedom of the relative 3D orientation.

Abstract: Described herein are methods for beam station delivery of radiation treatment, where the patient platform is moved to a series of discrete patient platform locations or beam stations that are determined during treatment planning, stopped at each of these locations while the radiation source rotates about the patient delivering radiation to the target regions that intersect the radiation beam path, and then moving to the next location after the prescribed dose of radiation (e.g., in accordance with a calculated fluence map) for that location has been delivered to the patient.

Abstract: Techniques for aligning images generated by an integrated camera physically mounted to an HMD with images generated by a detached camera physically unmounted from the HMD are disclosed. A 3D feature map is generated and shared with the detached camera. Both the integrated camera and the detached camera use the 3D feature map to relocalize themselves and to determine their respective 6 DOF poses. The HMD receives the detached camera's image of the environment and the 6 DOF pose of the detached camera. A depth map of the environment is accessed. An overlaid image is generated by reprojecting a perspective of the detached camera's image to align with a perspective of the integrated camera and by overlaying the reprojected detached camera's image onto the integrated camera's image.

Abstract: A system for generating depth information from low-resolution images is configured to access a plurality of image frames capturing an environment, identify a first group of image frames from the plurality of image frames, and generate a first image comprising a first composite image of the environment using the first group of image frames as input. The first composite image has an image resolution that is higher than an image resolution of the image frames of the first group of image frames. The system is also configured to obtain a second image of the environment, where parallax exists between a capture perspective associated with the first image and a capture perspective associated with the second image. The system is also configured to generate depth information for the environment based on the first image and the second image.

Abstract: Systems and methods are provided performing for low compute depth map generation by implementing acts of obtaining a stereo pair of images of a scene, downsampling the stereo pair of images, generating a depth map by stereo matching the downsampled stereo pair of images, and generating an upsampled depth map based on the depth map using an edge-preserving filter for obtaining at least some data of at least one image of the stereo pair of images.

Abstract: Disclosed herein are methods for patient setup and registration for the irradiation of target tissue regions. A method for positioning a patient for radiation therapy may include acquiring an image of a first patient target region and a second patient target region. A first set of patient position-shift vectors may be calculated based on the acquired image and a treatment planning image of the first patient target region. A second set of patient position-shift vectors may be calculated based on the acquired image, a treatment planning image of the second patient target region, and the first set of patient position-shift vectors. The patient may be positioned according to the first set of patient position-shift vectors in a first location. The patient may be moved to a second location and positioned according to the second set of patient position-shift vectors.

Abstract: Disclosed herein are methods for radiotherapy treatment plan optimization for irradiating one or more target regions using both an internal therapeutic radiation source (ITRS) and an external therapeutic radiation source (ETRS). One variation of a method comprises iterating through ITRS radiation dose values and ETRS radiation dose values to attain a cumulative dose that meets prescribed dose requirements. In some variations, an ITRS is an injectable compound that has a targeting backbone and a radionuclide, and images acquired using an imaging compound that has the same targeting backbone as the injectable compound can be used to calculate the radiation dose deliverable using the injectable ITRS, and also to calculate firing filters for delivering radiation using a biologically-guided radiation therapy (BGRT) system. Image data acquired from a previous treatment session may be used to adapt the dose provided by an ITRS and/or ETRS for a future treatment session.

Abstract: Disclosed herein are systems and methods for adapting and/or updating radiotherapy treatment plans based on biological and/or physiological data and/or anatomical data extracted or calculated from imaging data acquired in real-time (e.g., during a treatment session). Functional imaging data acquired at the time of radiation treatment is used to modify a treatment plan and/or dose delivery instructions to provide a prescribed dose distribution to patient target regions. Also disclosed herein are methods for evaluating treatment plans based on imaging data acquired in real-time.

Abstract: The technology disclosed provides systems and methods related to preventing exfiltration of training data by feature reconstruction attacks on model instances trained on the training data during a training job. The system comprises a privacy interface that presents a plurality of modulators for a plurality of training parameters. The modulators are configured to respond to selection commands via the privacy interface to trigger procedural calls. The procedural calls modify corresponding training parameters in the plurality of training parameters for respective training cycles in the training job. The system comprises a trainer configured to execute the training cycles in dependence on the modified training parameters. The trainer can determine a performance accuracy of the model instances for each of the executed training cycles.

Abstract: Described herein are methods for beam station delivery of radiation treatment, where the patient platform is moved to a series of discrete patient platform locations or beam stations that are determined during treatment planning, stopped at each of these locations while the radiation source rotates about the patient delivering radiation to the target regions that intersect the radiation beam path, and then moving to the next location after the prescribed dose of radiation (e.g., in accordance with a calculated fluence map) for that location has been delivered to the patient.

Abstract: The technology disclosed relates to authenticating users using a plurality of non-deterministic registration biometric inputs. During registration, a plurality of non-deterministic biometric inputs are given as input to a trained machine learning model to generate sets of feature vectors. The non-deterministic biometric inputs can include a plurality of face images and a plurality of voice samples of a user. A characteristic identity vector for the user can be determined by averaging feature vectors. During authentication, a plurality of non-deterministic biometric inputs are given as input to a trained machine learning model to generate a set of authentication feature vectors. The sets of feature vectors are projected onto a surface of a hyper-sphere. The system can authenticate the user when a cosine distance between the authentication feature vector and a characteristic identity vector for the user is less than a pre-determined threshold.

Abstract: A varistor is provided having a rectangular configuration defining first and second opposing end surfaces offset in a lengthwise direction. The varistor may include a first terminal adjacent the first opposing end surface and a second terminal adjacent the second opposing end surface. The varistor may include an active electrode layer including a first electrode electrically connected with the first terminal and a second electrode electrically connected with the second terminal. The first electrode may be spaced apart from the second electrode in the lengthwise direction to form an active electrode end gap. The varistor may include a floating electrode layer including a floating electrode. The floating electrode layer may be spaced apart from the active electrode layer in a height-wise direction to form a floating electrode gap. A ratio of the active electrode end gap to the floating electrode gap may be greater than about 2.