A device with image processing includes: an image acquirer configured to acquire a plurality of images each having a different brightness; and one or more processors configured to extract an illumination map for an input image of the images and an illuminant color of the input image from the input image and temporal correlation information of the plurality of images, based on an illumination extraction model.

In a detection system, an LED unit includes a plurality of LEDs, and each of the LEDs applies light toward a different part of an occupant's face in a vehicle. A position detection unit detects a position of a pupil in an occupant's eye on the basis of an image captured by an imaging unit. The LED unit applies light from LEDs with a light emission pattern selected from a plurality of predetermined light emission patterns. The light emission patterns differ from each other in the combination of the LEDs that emit light and the LEDs that do not emit light in the LEDs. An operation controller controls the LED unit to detect the position of the pupil by applying light from the LEDs that emit light with a light emission pattern different from a current light emission pattern when the position of the pupil cannot be detected.

Disclosed herein are a surface defect detection method and apparatus. The surface defect detection method is performed by the surface defect detection apparatus. The surface defect detection method includes: acquiring a photographed image of an inspection target object; and detecting a defect by using the acquired photographed image. Acquiring the photographed image includes radiating pattern light of a stripe pattern having a predetermined interval onto a surface of the inspection target object, and acquiring a photographed image by photographing reflected light reflected from the surface of the inspection target object.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for lighting adaptive navigation. In some implementations, map data associated with a property is received. Sensor data is obtained. Based on the map data and the sensor data, a lighting scenario is determined. Based on the lighting scenario, a modification to at least one of the lighting scenario, to a planned navigation path for the robotic device, to settings for a sensor of the robotic device, to a position for a sensor of the robotic device, or to a position of the robotic device is determined. An action is performed by based on the one or more modifications.

An object classification system for classifying objects is described. The system comprises an imaging region adapted for irradiating an object of interest, an arrayed detector, and a mixing unit configured for mixing the irradiation stemming from the object of interest by reflecting or scattering on average at least three times the irradiation after its interaction with the object of interest and prior to said detection.

A method of obtaining a depth map, performed by an augmented reality (AR) device including a depth sensor, includes: sensing a motion of the AR device worn by a user; identifying an activity of the user, based on the sensed motion of the AR device; determining a light pattern of emission light to be emitted by the depth sensor, based on the identified activity; controlling the depth sensor to emit emission light in the determined light pattern; receiving reflection light obtained by reflection of the emission light by at least one object; and obtaining the depth map, based on the emission light and the received reflection light.

A system for external fish parasite monitoring in aquaculture, the system comprising: —a camera (52) suitable to be submerged in a sea pen suitable for containing fish, the camera being arranged for capturing images of the fish; and —an electronic image processing system (86) configured for identifying external fish parasites on the fish by analyzing the captured images, characterized by a camera and lighting rig (10) having a vertical support member (14), an upper boom (16) articulated to a top end of the support member (14) and carrying an upper lighting array (22), a lower boom (18) articulated to a lower end of the support member (14) and carrying a lower lighting array (24), and a housing (20) attached to the support member and carrying the camera (52), wherein the upper and lower lighting arrays (22, 44) are configured to illuminate, from above and from below, a target region inside a field of view of the camera (52).

A system for external fish parasite monitoring in aquaculture, the system comprising: —a camera (52) suitable to be submerged in a sea pen suitable for containing fish, the camera being arranged for capturing images of the fish; and —an electronic image processing system (86) configured for identifying external fish parasites on the fish by analyzing the captured images, characterized by a camera and lighting rig (10) having a vertical support member (14), an upper boom (16) articulated to a top end of the support member (14) and carrying an upper lighting array (22), a lower boom (18) articulated to a lower end of the support member (14) and carrying a lower lighting array (24), and a housing (20) attached to the support member and carrying the camera (52), wherein the upper and lower lighting arrays (22, 44) are configured to illuminate, from above and from below, a target region inside a field of view of the camera (52).

Systems and methods for through-display imaging. An optical imaging sensor is positioned at least partially behind a display and is configured to emit shortwave infrared light at least partially through the display to illuminate an object, such as a fingerprint, in contact with an outer surface of the display. Surface reflections from the object are received and an image of the object can be assembled.

Systems and methods for through-display imaging. An optical imaging sensor is positioned at least partially behind a display and is configured to emit shortwave infrared light at least partially through the display to illuminate an object, such as a fingerprint, in contact with an outer surface of the display. Surface reflections from the object are received and an image of the object can be assembled.