An apparatus for managing data used for object recognition includes an image capturing unit configured to capture an image of an object, a storage unit storing image data of products registered for sale, an operation panel configured to receive a user selection, and a processor configured to determine the products registered for sale that are similar to the object, based on the captured image and the image data, display the similar products on the operation panel as user selectable items, determine one or more of the similar products designated by the user selection, and invalidate the designated similar products so that efficiency of object recognition by the apparatus can be improved.

Method for monitoring a computer vision system (CVS), said computer vision system (CVS) being part of a vehicle control system (VCS) of a vehicle (1000) that is used to maneuver said vehicle (1000) in 3D-space (3000), said computer vision system (CVS) being configured to monitor a surrounding area of the vehicle in real time and said computer vision monitor (CVM) monitoring the behavior of the computer vision system (CVS), comprising the steps of a.) providing the computer vision monitor (CVM) with information concerning a position (LM_POS) of at least one landmark (2000) in the 3D-space (3000), wherein said information is provided by a source, said source being independent of the computer vision system (CVS), b.) providing the computer vision monitor (CVM) with information concerning a current position (CUR_POS) of the vehicle (1000), c.) selecting based on steps a.) and b.) at least one landmark which falls within the range of vision of the computer vision system (CVS), d.) classifying the computer vision system (CVS) as being faulty when the computer vision system (CVS) fails to detect a configurable number of selected landmarks (2000).

An image processing apparatus includes: a recognition unit configured to recognize products from a captured image obtained by capturing an image of displayed products; and a detection unit configured to detect, based on store fixture information related to a store fixture in which the products are displayed, a region of a product that is included in the captured image but is not recognized by the recognition unit.

Disclosed are various embodiments for digitally restoring content from a torn document. A computing device obtains an image of a document that has a tear. The computing device identifies portions of the image separated by a gap region representing the tear in the document. Content in the portions of the image adjacent to the gap region is then identified. The position of a portion of the image is incrementally adjusted to reduce the gap region without overlapping the portions. The position of the portion is adjusted to align the content along a boundary between the portions of the image.

A fingerprint sensing system comprising a device connection interface including a device reference potential input, a sensing arrangement, and sensing reference potential providing circuitry. The sensing arrangement includes multiple sensing structures and read-out circuitry connected to each of the sensing structures. The sensing reference potential providing circuitry provides a sensing reference potential to the sensing arrangement in the form of a sensing reference signal alternating between a first sensing reference potential and a second sensing reference potential, and comprises a first capacitor; a second capacitor; charging circuitry; and switching circuitry for alternatingly switching the sensing reference potential providing circuitry between a first state in which the first capacitor and the second capacitor are connected in parallel to the charging circuitry; and a second state in which the first capacitor and the second capacitor, when charged, are connected in series between the device reference potential input and the sensing arrangement.

Each of vehicles acquires its own position, and transmits an image of a nearby outside taken by an own camera and a piece of information of the own position. An information center communicatable wirelessly with the vehicles receives the images and the pieces of information of the vehicles' positions transmitted by the vehicles, and recognizes pieces of first character information appearing in the received images, respectively. Based on the received pieces of information of the vehicles' positions as well as at least either points of interest or areas stored as collection target information, the information center determines at least either points of interest or areas for the recognized pieces of first character information, respectively, and stores association information where the pieces of first character information are associated with the determined at least either points of interest or areas.

A system for guided geospatial image capture, registration and 2D or 3D mosaicking, that employs automated imagery processing and cutting-edge airborne image mapping technologies for generation of geo-referenced Orthomosaics and Digital Elevation Models from aerial images obtained by UAVs and/or manned aircraft.

Provided are image inspection method and apparatus, and an ink jet printing apparatus that can highly accurately detect a stripe defect. An inspection image obtained by an imaging device imaging a printed matter printed by an ink jet printing apparatus including a line head is acquired. Each of at least one non-scanning direction linear structural element that is a linear structural element in a direction not parallel to a direction of scanning by the line head relative to a medium is used to execute morphology processing of a grayscale image to thereby smooth the inspection image to create a first smoothed inspection image (S22, S24). A stripe defect extending in the scanning direction is detected by using at least (1) one of the inspection image and a second smoothed inspection image created based on the inspection image and (2) the first smoothed inspection image.

The present invention provides an image correction method, an image correction apparatus and a video system. The image correction method comprises: obtaining an actual face image; obtaining a target sample image matching with the actual face image; and correcting each eye area of the actual face image according to the target sample image such that orientation of each eye area of the corrected actual face image coincides with orientation of a corresponding eye area of the target sample image. The present invention may enable pupil portions of eye areas in a received face image to look toward a camera, thereby realizing an equal communication and improving sensory experience.

The disclosed subject matter relates to an automated determination the stain quality and segmentation quality of a tissue sample. By way of example, separate image data is acquired of an unstained form of a biological specimen, the biological specimen stained with a nuclei marker and the biological specimen stained with a segmentation marker. A correlation map (Cr) from the separate image data and a ridgeness map (Pr) from the image data of the biological specimen stained with a segmentation marker are each determined. A staining quality score and segmentation quality score are then determined from the correlation map (Cr) and the ridgeness map (Pr).