An image processing apparatus includes a separation unit configured to separate luminance information of each pixel in a processing area of an input image into an intrusion component and an object component, a determination unit configured to determine whether each of intrusion components is a first component or a second component, a processing unit configured to generate first information based on the first component, and an image generating unit configured to generate an output image based on the first information, the second component, and the object component.

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

Embodiments of the present application disclose a fingerprint identification apparatus and an electronic device. The fingerprint identification apparatus is used to be disposed under a display screen and includes a first filter layer and a fingerprint sensor, and the first filter layer is disposed above the fingerprint sensor, the first filter layer includes a plurality of first filter units, and the plurality of first filter units are disposed in a region of the first filter layer corresponding to an edge region of the fingerprint sensor; sensing units of the edge region of the fingerprint sensor are configured to receive a light signal returned by a finger above the display screen and filtered by the plurality of first filter units; and sensing units of a middle region of the fingerprint sensor are configured to receive a light signal returned by the finger, to generate a fingerprint image of the finger.

Apparatus and associated methods relate to ranging object(s) nearby an aircraft using triangulation. A light projector mounted at a projector location on the aircraft projects pulses of polarized light onto the scene external to the aircraft. The projected pulses of polarized light are polarized in a first polarization state. A camera mounted at a camera location on the aircraft has a shutter synchronized to the projector output pulse and receives a portion of the projected pulses of polarized light reflected by the object(s) in the scene and polarized at a second polarization state orthogonal to the first polarization state. Location(s) and/or range(s) of the object(s) is calculated, based on the projector location, the camera location, and pixel location(s) upon which the portion of light is imaged.

Hand biometric systems and methods use digital fingerprints generated from images of at least a portion of hand. These systems and methods may perform various digital fingerprint related processes including induction (acquiring of the hand biometric data, generation of a digital fingerprint and storing in a database) and authentication (a process of using the digital fingerprint of the hand to perform biometrics which are known processes that may be performed using digital fingerprints, and may even be control anonymous access to controlled areas or vehicle. The hand biometric system and method combines these processes with a particular set of hardware to perform the hand biometrics process that is novel and provides benefits and capabilities not achievable by other existing biometric systems and methods.

A system for monitoring face mask wearing of a monitored person is provided. The system includes a controller communicatively coupled to one or more multipixel thermopile sensors (“MPTs”). The controller is configured to (1) detect a monitored person region within a heat map based on one or more data sets captured by the MPTs; (2) locate a head region within the monitored person region by identifying a high intensity pixel cluster within the monitored person region; (3) determine a facing-direction of the head region based on a major axis of the monitored person region or a minor axis of the monitored person region; (4) locate a mouth region within the head region based on the facing-direction; (5) determine an exhalation region of the heat map based on the mouth region; (6) determine a mask state of the monitored person based on the exhalation region and a temperature gradient classification model.

A system for monitoring face mask wearing of a monitored person is provided. The system includes a controller communicatively coupled to one or more multipixel thermopile sensors (“MPTs”). The controller is configured to (1) detect a monitored person region within a heat map based on one or more data sets captured by the MPTs; (2) locate a head region within the monitored person region by identifying a high intensity pixel cluster within the monitored person region; (3) determine a facing-direction of the head region based on a major axis of the monitored person region or a minor axis of the monitored person region; (4) locate a mouth region within the head region based on the facing-direction; (5) determine an exhalation region of the heat map based on the mouth region; (6) determine a mask state of the monitored person based on the exhalation region and a temperature gradient classification model.

A method and an associated device for detecting fraud during automatic face recognition, the method comprising the following steps: acquiring a first image of the face by means of a first sensor having a first field angle, and a second image of the face by means of a second sensor having a second field angle that is narrower than the first field angle; analyzing the first image to verify that there is no frame around the face; and analyzing the second image to verify that there is no moiré effect.

An electronic device is provided. The electronic device includes a cover plate, a main board, an iris camera, an infrared lamp, a polarizing member. The iris camera is coupled with the main board and arranged on a side of the main board facing the cover plate. The infrared lamp is coupled with the main board and arranged on the side of the main board facing the cover plate. The infrared lamp is spaced apart from the iris camera. The polarizing member is arranged between the infrared lamp and the cover plate to reduce an angle of infrared light emitted from the infrared lamp.

An area determining unit (3) for determining whether a detected face area is located within an area set for authenticating an occupant sitting on a front seat of a vehicle, a face orientation detecting unit (4) for detecting orientation of a face of a person on the basis of position information in a taken image of an element of the face of the person detected when the face area is determined to be located within the set area, a face orientation determining unit (5) for determining whether the orientation of the face of the person detected is within a range of the face orientation set for authenticating the occupant sitting on the front seat of the vehicle, and an authentication processing unit (6) for collating characteristic information of the taken image of the face area with characteristic information of a taken image for authentication accumulated in advance and authenticating the person whose face area is detected when the orientation of the face of the person is determined to be within the set range of the face orientation.