A biological observation system includes: a light source apparatus configured to supply a first illuminating light, and a second illuminating light, while switching between the first illuminating light and the second illuminating light; an image pickup device configured to receive light from an object at each of a plurality of pixels having different sensitivities, and picks up an image; a color separation processing portion configured to separate, from respective color components, a color component obtained when an image of light of a predetermined wavelength band is picked up by a pixel having the greatest sensitivity to the light in the predetermined wavelength band; and a control portion configured to cause different processing to be performed between a case where an inputted image pickup signal corresponds to the first illuminating light and a case where an inputted image pickup signal corresponds to the second illuminating light.

A method and apparatus for determining an exposure parameter of a head-mounted device, and a device are provided. The method includes: acquiring an average real brightness value of a region of interest of the image of the current frame; determining an average predicted brightness value of a region of interest of an image of a next frame if the average predicted brightness value is smaller than a lower limit of a first preset threshold range, sequentially selecting exposure parameter values equal to or greater than a current exposure parameter value, in a target exposure list to form a target exposure sub-list; and if the average predicted brightness value is greater than or equal to an upper limit of the first preset threshold range, sequentially selecting exposure parameter values equal to or smaller than the current exposure parameter value in the target exposure list to form a target exposure sub-list.

The present disclosure relates to systems and methods for determining the exposure setting of an imaging device having a set of exposure parameters. A target luma of the imaging device may be determined. A correspondence table may be obtained. The correspondence table may relate to a plurality of reference luma values and a plurality of groups of operation values of the set of exposure parameters, a group of operation values corresponding to a reference luma value. A reference luma value and a group of operation values of the set of exposure parameters may be identified based on the target luma and the correspondence table. An adjustment of at least one exposure parameter of the imaging device may be determined based on the identified group of operation values. The at least one exposure parameter of the imaging device may be adjusted based on the determined adjustment.

An imaging apparatus including: an image sensor unit; and a camera unit from which the image sensor unit is detachable, in which the image sensor unit includes at least an image sensor and a first storage unit in which first correction data are stored, the camera unit includes at least a control unit, and the control unit performs an update determination process for determining whether or not the first correction data stored in the first storage unit have been updated.

An object recognition system of the disclosure includes: a light source emitting dot light having a predetermined pattern to an object; an event detection sensor receiving the dot light having the predetermined pattern reflected by the object and detecting the fact that a change in luminance of a pixel has exceeded a predetermined threshold as an event; and a signal processor removing information other than event information originated from the dot light emitted from the light source and having the predetermined pattern among event information detected by the event detection sensor.

An imaging device having an imager that includes first pixels having sensitivity to a first light and second pixels having sensitivity to a second light, a wavelength of the first light being different from a wavelength of the second light. The imager being configured to acquire first image data from the first pixels and being configured to acquire second image data from the second pixels. Each of the first image data and the second image data including an image of a code, the code being configured to output the second light. The imaging device further including an image processor configured to extract an image of the code based on the first image data and the second image data.

A display device includes: a display panel including a first display area having a first light transmittance and a second display area having a second light transmittance that is higher than the first light transmittance; a camera module under the second display area that is configured to output a raw image signal; a compensation module configured to: activate in response to a compensation control signal; receive the raw image signal; and compensate the raw image signal through a compensation program utilizing a learning data-based deep learning algorithm to generate a compensation image signal; and a control module configured to control operations of the display panel, the camera module, and the compensation module.

An apparatus includes a capturing unit configured to capture an image of an object, an exposure control unit configured to control an exposure condition including an exposure time or an analog gain for each of a plurality of pixels or pixel groups on a surface of the capturing unit, a determination unit configured to determine one or more evaluation areas including an achromatic color area from the captured image, a calculation unit configured to calculate a first evaluation value for each of the plurality of pixels or pixel groups in the evaluation area, and calculate a second evaluation value based on the first evaluation value weighted based on the exposure condition for each of the plurality of pixels or pixel groups, a correction unit configured to correct the image based on the second evaluation value.

Systems and methods for controlling camera settings of a camera to improve detection of faces in an uncontrolled environment are described. A first image is received from the camera, where the first image is captured by the camera at a first set of camera settings. A face is detected in the first image. The camera is adjusted to a second set of camera settings based on the detected face, where the second set of camera settings different from the first set of camera settings. A second image is received from the camera, where the second image is captured by the camera at the second set of camera settings. The face is detected in the second image. A quality metric of the face in the second image is determined where the quality metric is indicative of an image quality of the face in the second image. The camera is adjusted to a new set of camera settings to increase the quality metric of the face in subsequent images, the new set of camera settings different from both the first set of camera settings and the second set of camera settings. Once a sufficient quality metric of the face is achieved, the face is acquired, or otherwise captured, by the camera or other sensors.

In examples, a relative skin reflectance of a captured image of a subject is determined. The determination selects from the captured image pixels of the subject's face and pixels in the background and normalizes luminance values of the skin pixels using the background pixels. The relative skin reflectance value is determined for the captured image, based on the normalized luminance values of the skin pixels. Optionally the relative skin reflectance value is qualified, based on thresholds of skin reflectance values, as suitable for biometric use. Optionally, a non-qualifying captured image is flagged and, optionally, another image is acquired, or the non-conforming image is processed further to transform the image into a suitable image for biometric analysis.