Abstract: Various embodiments herein each include at least one of systems, methods, and software for check image data inference processing. Another example method embodiment includes inferring a check amount of a check image included in an account group of check images stored in a memory device. Where the check amount is missing in check data associated with the check image or was poorly read by an optical character recognition process, the method includes inferring of the check amount based at least in part on one or more check amounts of check data associated with other check images of the account group. Once inferred, the method includes updating the check amount of the check data associated with the respective check image with the inferred check amount of the check image. Some embodiments also or alternatively include inferring a check date.

Abstract: In a vehicle-mounted image recognition apparatus, a resolution of an image projected on an imaging plane of an image sensor is different at a position away from a center between a circumferential direction and a radial direction. To make a circumferential resolution higher than a radial resolution, at least a lower half of the imaging plane is located closer to a circumferential focus than a middle of a radial focus and the circumferential focus at a position off the optical axis center of the image projected on the image sensor through the image-forming optical system. This is achieved by adjusting the position of the imaging plane when manufacturing or by selecting a lens with high circumferential resolution. This apparatus improves recognition accuracy in recognizing traffic lanes without using an expensive lens exhibiting high resolution both in the circumferential direction and in the radial direction.

Abstract: Systems and methods use cameras to provide autonomous navigation features. In one implementation, top-down refinement in lane marking navigation is provided. The system may include one or more memories storing instructions and one or more processors configured to execute the instructions to cause the system to receive from one or more cameras one or more images of a roadway in a vicinity of a vehicle, the roadway comprising a lane marking comprising a dashed line, update a model of the lane marking based on odometry of the one or more cameras relative to the roadway, refine the updated model of the lane marking based on an appearance of dashes derived from the received one or more images and a spacing between dashes derived from the received one or more images, and cause one or more navigational responses in the vehicle based on the refinement of the updated model.

Abstract: A system and method for subject-matching in images comprises detecting a first orientation of a first subject in a target image; comparing the first orientation with a second orientation of a second subject in a source image to obtain at least one orientation parameter; extracting at least one features from the target image; computing a visual similarity score between the target image and the source image using the features, the visual similarity score being computed as a function of the at least one feature and the at least one orientation parameter; and determining a match between the first subject and the second subject in accordance with the visual similarity score.

Abstract: This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. We disclose methods, systems and apparatus for selecting which ink(s) should be selected to carry an encoded signal for a given machine-vision wavelength for a package design. We also disclose product packages, and methods to generate such, including a sparse mark in a first ink and an overprinted ink flood in a second ink. The first ink and the second ink are related through tack and spectral reflectance difference. Of course, other methods, packages, systems and apparatus are described in this disclosure.

Abstract: A method and an apparatus for measuring a speed of an object are provided, the method comprising: acquiring, for each image frame of at least two image frames in an image sequence, image information of the image frame, wherein the image information comprises depth information; detecting at least one object in the image frame based on the depth information to obtain an object detection result for the image frame; tracking the at least one detected object based on the object detection result of each of the at least two image frames to obtain an object tracking result; and calculating the speed of the at least one detected object based on the object tracking result and a time difference between the at least two image frames.

Abstract: This invention discloses a method to control highlighting of certain part of image on a display, wherein the image processing unit forwards the physical coordinates acquired by the host computer's coordinate acquisition unit to the coordinate transmission unit, and draws a regular shape centered on the acquired physical coordinates, and then displays the area within the regular shape at the normal brightness, and the rest outside the area at the corresponding proportion of low brightness. According to the method of the present invention, the attention of the doctor is focused on the specific or targeted area, the interferences caused by the surrounding images and the brightness are shielded, and the images in the specific pattern area is easier to identify. Thus, it will help doctors to improve the efficiency and accuracy of medical diagnosis for a lesion and make medical consultation and education more convenient.

Abstract: Apparatus and methods for helping a user establish values (e.g. timings) for a plurality of parameters of interest (e.g. cell divisions) relating to the development of an embryo from a series of images of the embryo are described. For each parameter of interest an image is selected for display to a user seeking to establish a value for the parameter of interest. For example, the selected image may be an image predicted to be an image reflecting the value for the parameter of interest. For example, the selected image may be based on a calculated timing for a particular developmental event. The timing may be calculated from a numerical analysis of the images or maybe predetermined. If the user is unable to determine a value for the parameter of interest from the selected image, the user may scroll through neighboring images until the user can determine a value for the parameter of interest.

Abstract: According to an embodiment, an estimation apparatus includes a memory and a processor. The processor acquires a first measurement point groups obtained by measuring a periphery of a first moving object. The processor estimates a position and posture of the first moving object. The processor classifies first measurement points serving as candidates of measurement points on a second moving object in the newest first measurement point group as candidate points. The processor acquires second moving object information from the second moving object. The processor calculates an evaluation value using a first likelihood defined according to a position relationship between an orientation of a region specified from the second moving object information and the candidate points. The processor estimates a position and posture of the second moving object based on the evaluation value.

Abstract: An image processing apparatus and method are disclosed, which processes an image of a target object. The image processing apparatus includes an image acquisition unit which acquires a series of first images and a series of second images of the target object which are scanned at a first pull-back speed and at a second pull-back speed faster than the first pull-back speed, a correlation unit which correlates first images, which are scanned at the first pull-back speed, with first images, which are scanned at the second pull-back speed, and a control unit which correlates a series of the first images which are scanned at the first pull-back speed and a series of the second images which are scanned at the second pull-back speed so as to display the images on a display apparatus, based on the result of the correlation.

Abstract: Systems, devices, and methods are described for locating and identifying anatomical landmarks, such as ligament attachment points, in image data. These systems, devices, and methods may provide an oblique plane that contains an anatomical landmark such as a ligament attachment point to the tibia. For example, the position at which the anterior cruciate ligament (ACL), medial collateral ligament (MCL) posterior cruciate ligament (PCL), or patellar tendon attaches to the tibia may be identified. The systems, devices, and methods allow for tracing of an anatomical landmark to generate a 3-D marking on a 3-D surface model of a patient's bone. The attachment points may be useful landmarks for patient-matched instrumentation.

Abstract: Systems and methods for detecting the cracks in illuminated electronic device screens are disclosed. In one embodiment, the method includes receiving an image of an electronic device screen and retrieving a plurality of kernels, each having values corresponding to a line region and a non-line region, with the orientation of the line region and the non-line region differing for each kernel. At least some of the kernels are applied to the image to obtain, at various locations of the image, values corresponding to the line regions and the non-line regions. Based on the values corresponding to the line regions and the non-line regions, cracks are automatically identified in the electronic device screen.

Abstract: A method for determining an exact location of an imaging device can include detecting a first object and determining its approximate location based on an approximate location of the imaging device, and determining a reliability value of the approximate location; receiving a predefined location of a second object from a memory, and determining whether the predetermined location of the second object matches, within a pre-specified margin of error, the approximate location of the first object, and when there is a mismatch greater than the pre-specified margin of error, storing the first object and its approximate location on a distributed ledger, and when there is a match within the pre-specified margin of error, determining the exact location of the imaging device based on the predefined location stored in the memory.

Abstract: A method for controlling a robot cleaner configured to project light of a predetermined pattern to a floor of an area in front thereof in a specific direction and to acquire an image of the area to which the light is projected, according to the present disclosure, includes: (a) acquiring a front view image of the robot cleaner; (b) detecting the pattern from the image acquired in (a); and (c) discriminating a pattern formed by reflected light from a pattern formed by light directly projected from the robot cleaner, from among patterns indicated in the acquired image, on the basis of geometrical characteristics defined by a projection direction of the light and the direction of an optical axis in which the image is acquired when two or more patterns are detected from the image.

Abstract: A method for providing a singling device of a storage and dispensing container for drug portions is provided. A singling device is adapted to a specific drug portion based on the measurement of the drug portion. The measurement is obtained by generating at least one image of a to-be-measured drug portion by a detection device and using image analysis to process the at least one image. Drug information for the specific drug portion is determined, the drug information including at least the dimensions of the specific drug portion. Based on the determined drug information, a singling device fitting the drug portion to be singularized is identified and provided for use in the storage and dispensing container. A system for identifying a singling device is also provided.

Abstract: The present disclosure relates to a method and a device for identifying a gesture. The method includes: determining a depth of each pixel in each of a plurality of images to be processed, in which the plurality of images to be processed are separately collected by the plurality of cameras, and the depth is configured to at least partially represent a distance between an actual object point corresponding to each pixel and the mobile apparatus; determining a target region of each of the images to be processed according to the depth; and determining a gesture of a target user according to image information of the target regions.

Abstract: An apparatus for tagging content with expression recognition information is disclosed herein. The apparatus can include an input collector to receive raw expression data at a data storage device, the raw expression data to correspond to a media event. The apparatus can include an expression recognition generator to create an expression tag by coding the received raw expression data to follow an expression action coding system. The apparatus can include a content modifier to modify a deliverable content instance for the media event to include the expression tag.

Abstract: Disclosed are various embodiments for interpretation of flow cytometry data. Flow cytometry data sets are combined to form a multidimensional image cube. The machine learning functions and genetic algorithm interpret the multidimensional image cube to produce a confidence value that is assigned to a function for the targeted condition. The confidence value determines the relative degree to which a targeted condition is present or absent in a flow cytometry data set. Such confidence value can be used to diagnose and interpret results from flow cytometry data.

Abstract: Systems, devices, and methods are described for locating and identifying anatomical landmarks, such as ligament attachment points, in image data. These systems, devices, and methods may provide an oblique plane that contains an anatomical landmark such as a ligament attachment point to the tibia. For example, the position at which the anterior cruciate ligament (ACL), medial collateral ligament (MCL) posterior cruciate ligament (PCL), or patellar tendon attaches to the tibia may be identified. The systems, devices, and methods allow for tracing of an anatomical landmark to generate a 3-D marking on a 3-D surface model of a patient's bone. The attachment points may be useful landmarks for patient-matched instrumentation.

Abstract: This contact-angle measurement method is a contact-angle measurement method for measuring a contact angle (?) between a droplet that is supplied to a sample curved surface and the sample curved surface. This method includes an apparent contact-angle calculation step of calculating an apparent contact-angle (?) of the droplet by using a captured image of the droplet supplied to the sample curved surface and the sample curved surface; an inclination angle calculation step of calculating an inclination angle (?) of the sample curved surface at an outer periphery portion of a contact portion between the droplet and the sample curved surface by using the captured image; and a contact-angle calculation step of calculating the contact angle (?) by correcting the apparent contact angle (?), using the inclination angle (?).