A vehicular driver monitoring system includes a camera disposed at an interior rearview mirror assembly of a vehicle equipped with the vehicular driver monitoring system, an electronic control unit (ECU) with an image processor for processing image data captured by the camera. The camera includes an imaging array sensor and a lens and the camera is adjustable by at least one of (i) adjusting a position of the imaging array sensor relative to the lens and (ii) adjusting a position of the lens relative to the imaging array sensor. The system, responsive to processing at the ECU of image data captured by the camera, monitors a body portion of a driver of the vehicle and adjusts the camera to adjust the position of where the monitored body portion of the driver is imaged at the imaging array sensor.

A vehicular driver monitoring system includes a camera disposed at an interior rearview mirror assembly of a vehicle equipped with the vehicular driver monitoring system, an electronic control unit (ECU) with an image processor for processing image data captured by the camera. The camera includes an imaging array sensor and a lens and the camera is adjustable by at least one of (i) adjusting a position of the imaging array sensor relative to the lens and (ii) adjusting a position of the lens relative to the imaging array sensor. The system, responsive to processing at the ECU of image data captured by the camera, monitors a body portion of a driver of the vehicle and adjusts the camera to adjust the position of where the monitored body portion of the driver is imaged at the imaging array sensor.

A console includes a CPU and a GPU. Of the CPU and GPU, the CPU acquires an image to be processed, which is an object to be subjected to a support process that is a diagnosis support process or an imaging support process, and distributes a process to any one of the CPU, the GPU, or another GPU to execute the support process according to the content of the support process executed for the image to be processed.

Provided are a display module and a display apparatus. The display module includes: sub-pixels arranged in an array along a first direction and a second direction; and an array substrate including an underlay substrate, a fingerprint recognition unit, and a first light-shielding layer. The fingerprint recognition unit includes a photosensitive semiconductor layer, and an orthographic projection of the photosensitive semiconductor layer on a plane of the underlay substrate is located between two adjacent sub-pixels along the second direction. The first light-shielding layer is located on a side of the photosensitive semiconductor layer close to the underlay substrate, and an orthographic projection of the first light-shielding layer on a plane of the photosensitive semiconductor layer completely covers the photosensitive semiconductor layer, and along the first direction, a length of the first light-shielding layer is larger than or equal to twice a length of each of the plurality of sub-pixels.

A method and electronic device for radar-based face authentication anti-spoofing for determining access to the electronic device. The electronic device includes a radar transceiver and at least one processor. The at least one processor is configured to transmit, via the transceiver, a first set of signals, generate a channel impulse response (CIR) based on receipt of reflections of the first set of signals, detect a first CIR tap in the CIR, determine a selection of CIR data based on the detected first CIR tap, determine a profile matching metric based on comparison of the selection of CIR data to a set of predetermined reference signals, and determine whether to allow access to the electronic device based on comparison of the profile matching metric to a profile matching threshold.

Disclosed is a method and apparatus for testing a liveness, where the liveness test method includes receiving a color image and a photodiode (PD) image of an object from an image sensor comprising a pixel formed of a plurality of PDs, preprocessing the color image and the PD image, and determining a liveness of the object by inputting a result of preprocessing the color image and a result of preprocessing the PD image into a neural network.

The present disclosure provides a three-dimensional distance measurement method and device. A three-dimensional distance measurement device includes: at least a light source unit, configured to emit light pulses to illuminate a scene to be measured; at least an optical transmission unit, configured to control transmission of a reflected light obtained after the light pulses are reflected by an object in the scene to be measured; at least a photoreceptor unit, configured to receive a light transmitted through the optical transmission unit to perform imaging; and at least a processor unit, configured to control the light source unit, the optical transmission unit and the photoreceptor unit, and to determine scene distance information of the scene to be measured based on an imaging result of the photoreceptor unit.

Example implementations described herein are directed to integration of far infrared cameras in a vehicle system to detect objects based on relative temperature of objects. Such implementations can improve accuracy when paired, for example, with classification systems that classify objects based on the shape of the object, as both the shape and relative temperature can be used to ensure that the classification is accurate. Further, example implementations can synchronize far infrared cameras with other sensor systems to determine distance, energy, and absolute temperature of an object, which can also be used to enhance classification. Such classifications can then be provided to an advanced driver assistance systems (ADAS), which can control the vehicle system in accordance with the object classification.

Provided are an image processing apparatus, an image processing method, and an image processing program capable of achieving high accuracy in an index representing vegetation. An image processing apparatus (1) includes a normal map generation unit (12) and a reflection characteristic model generation unit (18). The normal map generation unit (12) obtains a normal vector characteristic based on a polarized image acquired. The reflection characteristic model generation unit (18) estimates a reflection characteristic model based on the normal vector characteristic obtained by the normal map generation unit (12).

Provided are an image processing apparatus, an image processing method, and an image processing program capable of achieving high accuracy in an index representing vegetation. An image processing apparatus (1) includes a normal map generation unit (12) and a reflection characteristic model generation unit (18). The normal map generation unit (12) obtains a normal vector characteristic based on a polarized image acquired. The reflection characteristic model generation unit (18) estimates a reflection characteristic model based on the normal vector characteristic obtained by the normal map generation unit (12).