An image processing apparatus including a CPU which is operable to function as units comprising a processing unit which sets, as a first area, an area that is not a peripheral edge area in a captured image acquired by an imaging unit, sets an area including the peripheral edge area as a second area, and performs predetermined processing on one of the first area and the second area, and a specification unit which specifies whether the first area is subjected to the predetermined processing or the second area is subjected to the predetermined processing, based on orientation information of the imaging unit when the captured image is acquired.

A head mounted display (HMD) comprises an eye tracking system configured to perform a calibration process using an eye tracking system of the HMD that includes determining a pupillary axis and/or determining an angular offset between the pupillary axis and the eye's true line of sight. The eye tracking system obtains an eye model captures images of the user's pupil while the user is looking at a target or other content displayed on the HMD. In some embodiments, the calibration process is based on a single image of the user's eye and is performed only once. For example, the process can be performed the first time the user uses the HMD, which stores the calibration data for the user in a memory for future use.

A method includes capturing a first image of a scene, detecting a face in a section of the scene from the first image, and activating an infrared (IR) light source to selectively illuminate the section of the scene with IR light. The IR light source includes an array of IR light emitting diodes (LEDs). The method includes capturing a second image of the scene under selective IR lighting from the IR light source, detecting the face in the second image, and identifying a person based on the face in the second image.

Exemplary embodiments are directed to a system of enhancing biometric analysis matching. A processing device is configured to analyze the probe short-range and broadband iris texture information of a probe image for iris biometric authenticity, and based on the biometric authenticity of the probe short-range iris texture information and the probe broadband iris texture information, determine the biometric authenticity of the subject. Exemplary embodiments are also directed to a system of enhancing biometric analysis matching efficiency. The processing device generates an optimized order of enrollment iris biometric data includes a listing of the enrollment iris biometric data ordered by closest match to furthest match between the probe and enrollment broadband iris texture information. The processing device analyzes the iris biometric data for biometric authenticity starting with the closest match between the probe and enrollment broadband iris texture information.

In some embodiments, apparatuses, systems, and methods are provided herein useful to assessing products. In some embodiments, an enclosure for use in assessing products comprises a housing including a door configured to allow placement of a product within the housing, a product holding surface located within the housing allowing pictures to be taken through the product holding surface and configured to support the product, a first image capture device configured to capture an image of the product from a first perspective, a second image capture device configured to capture an image of the product from a second perspective, and wherein the image of the product from the second perspective is captured through the product holding surface, and a lighting element, wherein the lighting element is located within the housing, and wherein the lighting element is configured to provide lighting within the housing.

An augmented reality (AR) display device includes a camera that captures a background image; a distance measuring sensor that measures a distance to a real object in the background image; a position and orientation sensor that detects the position of the camera and the shooting direction of the camera; a controller that recognizes the real object from the background image captured by the camera and associates the predetermined AR object with the recognized real object; a display displaying an image of the associated AR object; and a memory that stores data of the real object and the AR object associated with each other. The controller determines whether or not the real object is movable from the measurement result of the distance measuring sensor, and arranges the AR object according to the current position of the real object when the position of the real object associated with the AR object moves.

The present disclosure provides an optical fingerprint/palmprint identification device, and a touch display panel and a display apparatus which includes the optical fingerprint/palmprint identification device, which enables easy determination of relative positions of ridges and valleys of a fingerprint/palmprint. The optical fingerprint/palmprint identification device includes: a photosensitive sensor configured for acquiring an optical signal indicative of fingerprint/palmprint information, and converting the acquired optical signal into a current; a storage capacitor configured as a separate capacitor in the optical fingerprint/palmprint identification device and electrically connected to the photosensitive sensor so as to receive and store the current from the photosensitive sensor during scanning a fingerprint/palmprint; and a switch transistor electrically connected to the storage capacitor so as to output the current stored in the storage capacitor during reading out a current.

A digital image inspection method checks printing material processing machine products by recording digital printed partial images using recording devices and combining partial images in an image processing computer forming a digital overall image causing abutment edges at an overlap. The computer inspects the digital overall image and transmits a result to a machine control computer. The computer creates a new image, only containing detected edges, using edge detection methods after combining partial images forming a digital overall image. The computer uses known positions of abutment edges of recording devices to create a further new image only containing regions with abutment edges of recording devices. The computer overlays the new images, providing a resultant image containing only edges along abutment edges of recording devices. The computer applies the resultant image to the digital overall image, defining masking zones in the resultant digital overall image not being checked by image inspection.

A self-cleaning surveillance device and a method using the same are provided. The self-cleaning surveillance device includes a surveillance device and a fan. The surveillance device includes an image capturing device and a processor. The image capturing device captures a surveillance image. The processor receives the captured surveillance image, compares the captured surveillance image with a preset condition, and then generates a drive signal corresponding to a mismatch between the surveillance image and the preset condition. The fan is disposed at an edge of a front end of the surveillance device and receives the drive signal. The fan blows air towards the front end of the surveillance device according to the drive signal in order to clean the front end of the surveillance device.

A face image processing apparatus includes: a lighting portion including a first polarizer which polarizes light in a first direction and a light emitter which emits, through the first polarizer, infrared light; an image capturing portion including a second polarizer which polarizes light in a second direction perpendicular to the first direction and an image capturing unit which captures images through the second polarizer; and an image processing portion which detects candidates of eyes using a first image captured when the lighting portion emits the infrared light and a second image captured when the lighting portion does not emit the infrared light. The image processing portion determines, as an eye, a candidate having a hyperbolic or cross shaped pattern present in the first image but not present in the second image.