Locations and presentation orders of objects of interest (e.g., speech bubbles) in digital graphic novel content are identified such that expanded versions of the objects of interest can be presented to a reader. Specifically, digital graphic novel content is received and locations of interest regions (e.g., rectangular text regions of speech bubbles) in the content are identified by applying a machine-learned model to the content. Locations and presentation orders of objects of interest in the digital graphic novel content are identified based on the identified locations of the interest regions. The digital graphic novel content and presentation metadata including the locations and presentation orders of the objects of interest are provided to a reading device such that expanded versions of the objects of interest are presented to the user in accordance with the presentation metadata.

A method for authenticating an object, comprising determining a physical dispersion pattern of a set of elements, determining a physical characteristic of the set of elements which is distinct from a physical characteristic producible by a transfer printing technology, determining a digital code associated with the object defining the physical dispersion pattern, and authenticating the object by verifying a correspondence of the digital code with the physical dispersion pattern, and verifying the physical characteristic.

A system and method for authenticating a user of a device. A multi-band biometric iris scan camera system is capable of obtaining an iris image using near-infrared (NIR) light and/or visible wavelength (VW) light. The camera system can initially image a user to detect the iris color of the user and, based on the iris color, determine whether to use the NIR iris scan or the VW iris scan. Additionally, NIR and VW systems can be operated as integrated camera systems. The iris scan camera system can take a series of images and compare against a database of anonymous iris images captured at different illumination conditions, for selecting a preferred illumination condition for capturing the iris and performing authentication. The iris scan camera system can optionally track eye movement to determine when to trigger an iris scan, identify obstructions to the iris such as eyelids and eyelashes to implement corrective measures in the iris image processing, and identify facial features to determine whether the left and/or right eye is being imaged.

A method for computing a spatial Fourier transform for an event-based system includes receiving an asynchronous event output stream including one or more events from a sensor. The method further includes computing a discrete Fourier transform (DFT) matrix based on dimensions of the sensor. The method also includes computing an output based on the DFT matrix and applying the output to an event processor.

A device includes an illumination device that casts light of a prescribed polarization direction on a scattering body, a camera that picks up images of the scattering body at a plurality of different polarization angles, and a processor that executes a process of generating and outputting an inner layer image, of an inner layer of an inside of the scattering body, in response to a depth from a surface of the scattering body on the basis of the images of the scattering body picked up at the plurality of different polarization angles.

A thermal image generating apparatus for generating a thermal image regarding a target object is provided. The apparatus includes a memory configured to store a first thermal image, a first sensor, configured to measure a temperature of the target object, a second sensor configured to measure a distance to the target object, a third sensor configured to detect a movement of the thermal image generating apparatus, and a controller configured to generate a second thermal image based on temperature information received from the first sensor, distance information received from the second sensor, and movement information received from the third sensor, and generate a third thermal image based on the first thermal image and the second thermal image.

A method may include generating a list of frame candidates, the list of frame candidates including a plurality of aspect ratios, based on a characteristic of a display device and an aspect ratio of a base tile; receiving a set of media items, each with a respective aspect ratio (AR), to display on the display device; and for each respective media item in the set of media items: filtering the list of frame candidates based on a respective aspect ratio of the list of frame candidates being within a threshold cropping amount of the AR of the respective media item; and matching the respective media to a frame candidate of the filtered list of frame candidates.

In an object detection apparatus and an object detection method, as first and second images, captured images of an area ahead of a vehicle in a vehicle advancing direction are acquired from first and second imaging units provided in the vehicle. Based on the first and second images, whether or not an object is present in a blind spot ahead of the vehicle in the vehicle advancing direction is determined. When the object is determined to be present in the blind spot, the first and second images are held in time series. As first and second image differences, differences in a feature quantity between a previous image and a current image in the first and second images are acquired. Based on the first and second image differences, whether or not the object is approaching the area ahead of the vehicle is determined.

The present disclosure relates to systems and methods for monitoring posture of a user of a wearable apparatus. In one implementation, the system may include an image sensor configured to capture one or more images from an environment of the user of the wearable apparatus and at least one processing device. The at least one processing device may be configured to analyze the one or more images to determine at least one indicator of the posture of the user, determine feedback for the user based on the at least one indicator of the posture of the user, and cause the feedback to be output to the user.

An example system includes a vehicle and a sensor connected to the vehicle. The system may receive a predetermined path for the vehicle to follow. The system may also receive a plurality of objectives, associated with a corresponding set of sensor data, for which to collect sensor data. The system may determine, for each of the plurality of objectives, a portion of the environment for the sensor to scan to acquire the corresponding set of sensor data. The system may determine, based on the portion of the environment determined for each of the plurality of objectives, a sensor trajectory through which to move the sensor. The system may cause the sensor to move through the determined sensor trajectory and scan portions of the environment corresponding to the determined sensor trajectory as the vehicle moves along the predetermined path.