Abstract: Provided is an apparatus for processing image blurring configured to extract a sample image by calculating a blur generation area through scales of a horizontal length and a vertical length of an original image, read a pixel value corresponding to the blur generation area calculated from the original image and perform a bitwise operation on the sample image, and set, at a pixel of the sample image changed by the bitwise operation, a result value of the bitwise operation. In this case, the bitwise operation performed on the sample image includes applying the same blurring value on n pixel regions adjacent to a corresponding pixel of the sample image to reduce the time for removing image noise.

Abstract: Various embodiments disclose a method and apparatus for image correction. The apparatus includes at least one camera, a memory, and a processor. The processor is configured to obtain at least one image corresponding external objects using the at least one camera, identify depth information on the external objects using the at least one image, identify a first region, corresponding to a first external object having a first depth level related to the depth information, and a second region, corresponding to a second external object having a second depth level different from the first depth level. The processor is further configured to generate a first noise pattern by detecting noise included in the first region, perform bokeh processing on at least part of the second region, and generate a corrected image in which the first noise pattern has been at least incorporated into at least part of the bokeh-processed second region.

Abstract: An image processing device includes: a calculation unit which calculates chroma values of pixels of image data taken by a shooting device based on differences between R values or G values and B values, respectively; a correction unit which corrects luminance values of pixels that satisfy a prescribed condition for being a yellow pixel using the calculated chroma values as emphasis amounts, respectively; and a detection unit which detects a line drawn on a road surface based on the corrected luminance values.

Abstract: Optical surface degradation detection and remediation systems, devices, and methods are provided herein. An example method includes tracking a first object within images of an area of interest obtained over a period of time by an image sensor of a vehicle during vehicle movement; tracking a light source within the area of interest; determining a change in relative reflective intensity of the first object using the images, based on a light source angle formed between the light source and an optical plane of an optical surface the vehicle, the change in relative reflective intensity being indicative of veiling glare of the optical surface; and activating a remediating measure in response to the veiling glare.

Abstract: A method for obtaining and processing image data by using a medical visual aid system including a monitor and an endoscope configured to be inserted into a body cavity and having an image capturing device and a light emitting device, the method including illuminating a field of view of the image capturing device with the light emitting device, capturing the image data using the image capturing device, providing a non-linear scaling model adapted to the body cavity, adjusting the image data by applying the non-linear scaling model such that adjusted image data is formed, and presenting the adjusted image data on the monitor.

Abstract: The disclosed technology is generally directed to optical character recognition for forms. In one example of the technology, optical character recognition is performed on a plurality of forms. The forms of the plurality of forms include at least one type of form. Anchors are determined for the forms, including corresponding anchors for each type of form of the plurality of forms. Feature rules are determined, including corresponding feature rules for each type of form of the plurality of forms. Features and labels are determined for each form of the plurality of forms. A training model is generated based on a ground truth that includes a plurality of key-value pairs corresponding to the plurality of forms, and further based on the determined features and labels for the plurality of forms.

Abstract: Disclosed herein are a glaucoma diagnosis method using a fundus image and an apparatus for the same. The glaucoma diagnosis method includes performing data amplification of generating multiple transformed images for an original fundus image based on a preprocessed image of the original fundus image, allowing multiple individual learning models of different types to be learned based on the multiple transformed images and generating a glaucoma determination model based on respective outputs of the learned multiple individual learning models, and diagnosing a class of glaucoma for the original fundus image based on the glaucoma determination model.

Abstract: A congestion degree estimating unit (12) which estimates, for each image frame, a congestion degree of an area in which each object detected by an object detecting unit (11) is present is provided. An object selecting unit (13) refers to an estimation result of the congestion degree by the congestion degree estimating unit (12) for each image frame, and selects an object present in an area the congestion degree of which is equal to or lower than a first threshold out of one or more objects detected by the object detecting unit (11).

Abstract: Apparatuses and methods associated with multi-level authentication are disclosed herein. In embodiments, a method includes authenticating a physical object of a plurality of physical objects that together form an aggregate physical object; storing in a database system relationship information reflecting a relationship between the aggregate physical object and the plurality of physical objects; attempting to authenticate a target physical object; responsive to matching the target physical object to the aggregate physical object based on the attempt to authenticate the physical target: identifying in the database system a database record corresponding to the aggregate physical object; storing in the database record authentication data reflecting the match between the target physical object and the aggregate physical object; and storing an indication of a re-authentication of the physical object in the database system based on the relationship information. Other embodiments may be disclosed or claimed.

Abstract: There is provided systems and methods for performing actions based on light signatures. An exemplary system includes a light source, a light detector, a non-transitory memory storing a plurality of light signatures and a hardware processor. The hardware processor executes an executable code to illuminate, using the light source, a target object with a first light, collect, using the light detector, a second light being a reflection of the first light by the target object, match the second light with one of the plurality of light signatures, and perform an action in response to matching the second light with the one of the plurality of light signatures.

Abstract: An object recognition apparatus is provided with: a recognizer configured to recognize a plurality of objects; an acquirer configured to obtain behavior information; a parallel moving determinator configured to determine whether or not a parallel moving condition is satisfied, indicating that there are a first object and a second object, which move in parallel; a recognition determinator configured to determine whether or not a recognition condition is satisfied, indicating that there is the second object among the objects recognized in second timing; a recognition number determinator configured to determine whether or not a recognition number condition is satisfied, indicating that a number of the objects recognized in the second timing is reduced; and a parallel moving loss determinator configured to determine that the first object is in a parallel-moving-object-lost state, if the parallel moving condition, the recognition condition and the recognition number conditions are satisfied.

Abstract: [Problem] To provide an action-estimating device which is capable of estimating an action of a subject appearing in a plurality of time-series images with high precision. [Solution] Provided is an action-estimating device 1 comprising: an estimating-side obtaining unit 12 for obtaining a plurality of time-series images Y in which a subject Z appears; an estimating-side detecting unit 13 for detecting a plurality of articulations A appearing in each time-series image Y; an estimating-side measuring unit 14 for measuring coordinates of the detected plurality of articulations A in each time-series image Y; an estimating unit 15 for estimating an action of the subject Z based on displacement of the coordinates of the measured plurality of articulations A in the plurality of time-series images Y; and a storing unit 3 for storing a plurality of choices of the action to be estimated. The estimating-side detecting unit 13 further detects a background appeared in each time-series image Y.

Abstract: Disclosed is a method for the quantification of pulmonary vessels by lobe, the method including extracting, at extraction unit, pulmonary vessels based on a medical image, locating, at analysis unit, voxels of pulmonary vessels with respect to the surface of a lobe, and quantifying, at calculation unit, the extracted pulmonary vessels.

Abstract: A method for recognizing hand gestures when the hand is held in front of the user's upper body. The method detects dominant features associated with the upper body, including features on the face (eyes and mouth etc.) and the shoulder extremes. Geometrical relations among these features are used to judge whether the face/head has turned to the side relative to the shoulder. If not, a face-shoulder coordinate system is established using these face-shoulder features, and the hand images are transformed into this new coordinate system. This in effect defines hand gestures relative to the user's face and shoulder, thus significantly reducing the dimensions of the feature space for hand gestures. This face-shoulder coordinate transform can be combined either with traditional appearance-based hand gesture recognition methods, or with a conventional or hybrid deep neural network for RGB or RGB-D images.

Abstract: A device for detecting vehicle lights in an image, the device is configured to receive an image captured by a camera, wherein the image comprises an array of pixels and each pixel of the image has a respective scene brightness value, compress the image to generate a compressed image, wherein the compressed image comprises an array of pixels and each pixel of the compressed image has a respective grey value, calculate for each grey value in the compressed image a corresponding scene brightness value in the image, and detect vehicle lights in the compressed image by using the calculated scene brightness values.

Abstract: The present disclosure relates to systems and methods for monitoring posture of a user of a wearable apparatus. In one implementation, the system may include an image sensor configured to capture one or more images from an environment of the user of the wearable apparatus and at least one processing device. The at least one processing device may be configured to analyze the one or more images to determine at least one indicator of the posture of the user, determine feedback for the user based on the at least one indicator of the posture of the user, and cause the feedback to be output to the user.

Abstract: A method and a system for determining an orthodontic treatment for a subject are provided. The method comprises: acquiring a 3D representation of the crown portion of the given tooth, generating a 3D representation of the root portion of the given tooth by executing the steps of: generating, in a reference plane dissecting the predetermined longitudinal tooth axis and based on the 3D representation of the crown portion, a closed curve on the 3D representation of the crown portion, segmenting the closed curve into a plurality of sub-curves; for each one of the plurality of sub-curves, generating a respective segment of the 3D representation of the root portion; merging the 3D representation of the crown portion with the 3D representation of the root portion, thereby generating the 3D representation of the given tooth; and determining, based on the 3D representation of the given tooth, the orthodontic treatment for the subject.

Abstract: Disclosed are a method and an apparatus for multi-scale SAR image recognition based on attention mechanism. According to the method, a whole image recognition network is adjusted by training a SAR training image by an attention prediction subnet, a region-of-interest positioning subnet and an image classification subnet in combination with a network loss, which greatly improves a network performance; and in addition, an attention prediction map is generated by attention mechanism to position a most prominent feature part in the SAR image, which greatly eliminates a redundancy of image features in a machine vision, effectively determines a region-of-interest, reduces interference of image noises, greatly reduces an image processing time, improves a target recognition accuracy, is beneficial to next target positioning, and has a significant improvement on a network recognition speed integrally.

Abstract: A method for securing a bonding product in a working region of a bonder via a clamping device. The bonding product and the clamping device are positioned in the working region of the bonder and a partial characteristic contour is captured to determine the position of the bonding product in the working region. The previously set clamping position of the clamping fingers is captured via a camera and a clamping position is calculated. A current position and orientation of clamping fingers and a new misalignment of the clamping fingers is calculated and displayed until the current position and orientation of the clamping fingers corresponds to a clamping finger reference position.

Abstract: To provide a parking lot management system capable of maintaining a high vehicle number recognition rate even with reduced camera performance. A parking lot management system 1 comprises a parking lot system 10 installed in a parking lot, and a server device 30 connected thereto by a network 2. The parking lot system 10 comprises a camera unit 11, and the server device 30 comprises a server-side control means 31, server-side memory 32, a data analysis means 33, and a server-side communication means 34. The camera unit 11 comprises a camera-side control means 13, a flashlight 14, an indicator 15 for indicating that a space is occupied, a camera 16, camera-side memory 17, and a camera-side communication means 18. Because the data analysis means 33 of the server device 30 has high analytical power, a low-performance camera 16 is sufficient for the camera unit 11.