Abstract: Methods, apparatus, systems and articles of manufacture to prepare a set of equations for a successive over relaxation processor are disclosed. An example apparatus includes an identifier to identify a set of equations that corresponds to pixels of an input image. Example apparatus also include a partitioner to divide the set of equations into partitions that contain mutually independent subsets of the equations and a collector to collect the subsets of the set of equations into groups, based on the partitions, to be solved in parallel by the successive over relaxation processor.

Abstract: A computer-implemented method of automatically locating a portion of interest in image or matrix data derived from an item under consideration includes: identifying parts of the image or matrix data that satisfy a preset threshold as objects which are possibly parts of the portion of the interest; applying at least one preselected filter to the data corresponding to the objects to find a set of objects consisting of the objects most likely to be part of the portion of interest; sorting the objects of the set into clusters according to a predefined criterion; and using a known characteristic of the portion of interest to identify which one of the clusters corresponds to the portion of interest.

Abstract: In some implementations, an image recognition system is capable of using an iterative multi-stage image matching procedure to improve the accuracy and/or reliability of matching a search image with a small number of distinctive feature points to reference images. In the first stage, the system compares a search template for the search image to reference templates of each image within the set of reference images. The system determines a best-matched reference image from among the reference images of the set of reference images. In the second stage, the system compares the hybrid search template to one or more reference templates of reference images that is not the best-matched reference image. The comparison can be used to either compute match scores for reference images corresponding to the one or more reference templates.

Abstract: The embodiments herein relate to a method performed by an image capturing device for handling printed information on an information carrier. The image capturing device dynamically determines at least part of print information that should be printed on the information carrier by an industrial printer. When the print information has been printed on the information carrier by the industrial printer, the image capturing device captures an image of at least part of the print information on the information carrier.

Abstract: An n-lane automatic license plate recognition system (where n is an integer greater than one) and a method for dropping video frames in this system is disclosed. The method includes receiving, at an input of a first stage of a two-stage restrictor, a plurality of video frames. In the first stage of the two-stage restrictor, a subset of the plurality of video frames is dropped. An output of the first stage is coupled to an input of a second stage of the two-stage restrictor such that receiving and non-receiving of individual ones the plurality of video frames by the second stage is controlled by the first stage. In the second stage after the first stage, a further subset of the plurality of video frames is dropped to effect controlled frame input into a processor that performs at least one recognition analytic on remaining video frames of the plurality of video frames. The dropping of the further subset is based on at least one drop condition including a lane-specific drop condition.

Abstract: A system and a method for preprocessing capsule endoscope images are provided. The capsule endoscopic image preprocessing system include an in vitro image removal module, an invalid image removal module, a digestive tract image classification module, a lesion and anatomical structure identification module, and a lesion and anatomical structure redundant image removal module. The capsule endoscopic image preprocessing system removes in vitro images and invalid images from capsule endoscopic images, classifies the capsule endoscopic images according to different parts of the digestive tract, identifies lesion and anatomical structures in the classified capsule endoscopic images; and removes redundant lesion and anatomical structure images according to the lesion and anatomical structures.

Abstract: The present disclosure provides a method and a computer-readable storage medium for color quality assessment of a batch-sample image based on multispectral imaging. The method comprises: selecting an operation area on a reference image and locating a corresponding operation area on a batch-sample image, wherein the reference image is used for color comparison with the batch-sample image to determine whether the batch-sample image satisfies a pass requirement; generating and comparing the color-information items obtained from the reference image and from the batch-sample image respectively and determine whether the batch-sample image satisfies the pass requirement based on one or more thresholds. This method can be applied to automatically and precisely assess the quality of mixed-color fabrics in textile industry, which is more objective, reliable, and cost-effective, as compared to conventional methods for color quality assessment.

Abstract: The invention provides methods and apparatus for image processing that perform image segmentation on data sets in two- and/or three-dimensions so as to resolve structures that have the same or similar grey values (and that would otherwise render with the same or similar intensity values) and that, thereby, facilitate visualization and processing of those data sets.

Abstract: Coordinates on a two-dimensional image that respectively correspond to points on a three-dimensional space that configures an object included in a field of view based on a viewpoint are specified. A depth map is generated based on a result of assignment processing that assigns distance information of a first point corresponding to first coordinates to a first area including the first coordinates and assigns distance information of a second point corresponding to second coordinates to a second area including the second coordinates, the first and second coordinates belonging to coordinates on the two-dimensional image. A distance from the viewpoint to the first point is longer than a distance from the viewpoint to the second point, and the first area is smaller than the second area. The points configuring the object include the first and second points.

Abstract: One embodiment of the present invention sets forth a technique for determining a location of an object that is being manipulated or processed by a robot. The technique includes capturing a digital image of the object while the object is disposed by the robot within an imaging space, wherein the digital image includes a direct view of the object and a reflected view of the object, detecting a visible feature of the object in the direct view and the visible feature of the object in the reflected view, and computing a first location of the visible feature in a first direction based on a position of the visible feature in the direct view. The technique further includes computing a second location of the visible feature in a second direction based on a position of the visible feature in the reflected view and causing the robot to move the object to a processing station based at least in part on the first location and the second location.

Abstract: The present invention relates generally to a cephalometric X-ray image acquisition device. More particularly, the present invention relates to a cephalometric X-ray image acquisition device capable of providing a three-dimensional facial optical image and a cephalometric X-ray image of a subject.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for recognizing a face. A specific embodiment of the method includes: acquiring at least two facial images of a to-be-recognized face under different illuminations using a near-infrared photographing device; generating at least one difference image based on a brightness difference between each two of the at least two facial images; determining a facial contour image of the to-be-recognized, face based on the at least one difference image; inputting the at least two facial images, the at least one difference image, and the facial contour image into a pre-trained real face prediction value calculation model to obtain a real face prediction value of the to-be-recognized face; and outputting prompt information for indicating successful recognition of a real face, in response to determining the obtained real face prediction value being greater than a preset threshold.

Abstract: Systems, processes, and computer program products for creating visual designs and arrangements that originate from an image or images are provided. In particular, the present subject matter relates to systems, processes, and computer program products for taking captured images of an intended operating environment and creating visual designs that create visual confusion that can be utilized to disguise a recognizable form of a person or an object by breaking up its outline using portions, magnifications and distortions of a single captured image, portions, magnifications and distortions of multiple captured images, and/or disruptive patterns that can projected on an image screen or can be printed on a material.

Abstract: Techniques for cloud detection and cloud coverage determination are described herein. The disclosed techniques include detecting a plurality of color clusters among a plurality of data elements of an image, associating at least one of the plurality of color clusters with a cloud based on a characteristic color of the cloud, and determining a number of data elements within the at least one of the plurality of color clusters associated with the cloud. The disclosed techniques also include detecting a location of an object indicative of a cloud in the image based at least in part on training data and a plurality of features extracted from the image, detecting an edge of the object indicative of the cloud at the location, and determining a number of data elements within the edge of the object indicative of the cloud.

Abstract: A system for creating a near-spherical point cloud of RGBD data includes one or more sensing units for providing depth data, each sensing unit having a stereo pair of sensors fitted with the wide-angle lens from which a one-dimensional line of pixels is read, and one or more lasers for illuminating the single line of pixels, the sensing units mounted on a spinning platform. The spinning platform is mounted on the base having a plurality of cameras mounted therein for providing 360-degree RGB data.

Abstract: A method for iterative optical character recognition includes: performing an optical character recognition pass on an image; identifying a first character located in a first portion of the image, wherein an identification of the first character is associated with a first character confidence level that is at least a threshold character confidence level; identifying a second character located in a second portion of the image, wherein a first identification of the second character is associated with a second character confidence level that is below the threshold character confidence level; and performing an additional optical character recognition pass on the second portion of the image to identify the second character a second time when the second character confidence level that is below the threshold character confidence level.

Abstract: Methods and apparatus to reduce a depth map size for use in a collision avoidance system are described herein. Examples described herein may be implemented in an unmanned aerial vehicle. An example unmanned aerial vehicle includes a depth sensor to generate a first depth map. The first depth map includes a plurality of pixels having respective distance values. The unmanned aerial vehicle also includes a depth map modifier to divide the plurality of pixels into blocks of pixels and generate a second depth map having fewer pixels than the first depth map based on distance values of the pixels in the blocks of pixels. The unmanned aerial vehicle further includes a collision avoidance system to analyze the second depth map.

Abstract: The present invention is directed to a system and method for providing navigational directions to a user to locate a target anatomical object during a medical procedure via a medical imaging system. The method includes selecting an anatomical region surrounding the object; generating a plurality of real-time two-dimensional images of scenes from the anatomical region and providing the plurality of images to a controller; developing and training a deep learning network to automatically detect and identify the scenes from the anatomical region; automatically mapping each of the plurality of images from the anatomical region based on a relative spatial location and a relative temporal location of each of the identified scenes in the anatomical region via the deep learning network; and providing directions to the user to locate the object during the medical procedure based on the relative spatial and temporal locations of each of the identified scenes.

Abstract: Systems and methods are provided for analyzing location data associated with a location of a computing device to determine that a media content item is captured near a food-related venue or event, presenting interactive features to capture input related to food associated with the food-related venue or event, receiving the input in response to the presented interactive features, sending the media content item and the input in response to the interactive features to a computing system to incorporate the media content item and input into a machine learning model for food detection, and updating a messaging application to update a food detector functionality of the messaging application to comprise an updated machine learning model for food detection based on the media content item and input in response to the interactive features.

Abstract: The present subject matter at-least provides a system for measurement of topography of specular surfaces. The system comprises a set of indexed light-sources and a controller configured to drive the set of light-sources for irradiating a specular-surface by sequentially illuminating a plurality of sub-sets of the light-sources in accordance with a pre-defined encoding criteria. Further, at least one camera is provided to capture reflected light-radiation from the specular-surface and thereby generate a plurality of images in accordance with the sequential-illumination, such that each of the generated-image corresponds to a particular sub-set of illuminated light sources.