Abstract: A method generates images based on context-aware imaging. The method includes acquiring a first image of a patient using first image acquisition parameters. The method includes determining, within the first image, an area as a function of first data associated with the patient. The method includes determining modification data as a function of at least one of (a) second data corresponding to the determined area and (b) the first data. The method includes determining second image acquisition parameters as a function of the modification data and the first image acquisition parameters. The method includes acquiring a second image of the patient using the second image acquisition parameters.

Abstract: A system, apparatus and method of obtaining data from a 2D image in order to determine the 3D shape of objects appearing in said 2D image, said 2D image having distinguishable epipolar lines, said method comprising: (a) providing a predefined set of types of features, giving rise to feature types, each feature type being distinguishable according to a unique bi-dimensional formation; (b) providing a coded light pattern comprising multiple appearances of said feature types; (c) projecting said coded light pattern on said objects such that the distance between epipolar lines associated with substantially identical features is less than the distance between corresponding locations of two neighboring features; (d) capturing a 2D image of said objects having said projected coded light pattern projected thereupon, said 2D image comprising reflected said feature types; and (e) extracting: (i) said reflected feature types according to the unique bi-dimensional formations; and (ii) locations of said reflected feature

Abstract: The invention relates to a method for detecting and locating hydrocarbon deposits under a body of water in several steps. First, images of a surface of the body of water taken at different times are acquired. Next, for each image, traces of hydrocarbon leaks are identified. Next, a detection map is generated. This map indicates probabilities of the presence of a hydrocarbon leak around the identified traces. The map is obtained by processing the image at least based on a criterion of distance to the identified traces. Finally, the detection maps are combined to produce a hydrocarbon leak location map.

Abstract: A microscope system includes a microscope apparatus configured to obtain a microscopic image of a culture cell by picking up an image of the culture cell, and a first control device configured to record a culture condition of the culture cell and the microscopic image in a recording unit in association with each other.

Abstract: The invention relates to a method of determining the sagittal rotation of a patient's pelvis based on a standard anterior posterior X-ray-image with known image parameters and a calibration of the image, for example by using at least one King-Mark calibration object. The angle of the pelvic rotation is determined between a pelvic plane which is orthogonal to the midsagittal plane of the pelvis, and the image plane of the X-ray-image. Assuming the patient's position shown on the X-ray-image represents a standard neutral position, the X-ray-image plane can be used as a functional reference plane for further calculations, for example during hip-replacement surgery. The present invention further relates to a corresponding computer program and system.

Abstract: Methods, apparatus, and system to enable and implement interaction between a computer device and a person (or people) such as via images and objects identified in such images. The interaction may make possible rapid and convenient machine learning with respect to such objects.

Abstract: The present disclosure relates to signal decoding and icon (e.g., a logo, shape, icon, etc.) detection. In some implementations, a first response is provided upon signal decoding but no icon detection within first captured image data, and a second response is provided upon signal decoding and icon detection within the first captured image data. Other aspects, combinations and implementations are described as well.

Abstract: An information processing device includes: an information acquisition unit that acquires information on a target included in an image; and a transmission unit that determines a transmission destination of the image or information on the image according to the information on the target and transmits the image or the information on the image to the determined transmission destination.

Abstract: Free space machine interface and control can be facilitated by predictive entities useful in interpreting a control object's position and/or motion (including objects having one or more articulating members, i.e., humans and/or animals and/or machines). Predictive entities can be driven using motion information captured using image information or the equivalents. Predictive information can be improved applying techniques for correlating with information from observations.

Abstract: An image extracting unit and an album setting unit are provided. The image extracting unit sets a predetermined image of a plurality of images as a group photograph and extracts, from the plurality of images, images including each of face images of the group photograph. The album setting unit records image identification information of the extracted images in a predetermined file.

Abstract: A method for validating a remote user's identity comprises retrieving a user's photo and a user's signature from a digital associated identification card; requesting a real-time photo set, wherein the real-time photo set includes a first photo and a second photo; requesting a real-time written signature with the requested real-time photo set; signature matching the real-time written signature against the user's signature of the digital associated identification card; background matching a background in the first photo of the real-time photo set against a background in the second photo of the real-time photo set; user matching an image of the user from the first photo against the user's photo from the digital associated identification card; and validating the user's identity in response to determining that the signature matching satisfies a first threshold, the background matching satisfies a second threshold, and the user matching satisfies a third threshold.

Abstract: In a light control system, a captured image of a cruising direction of a vehicle is acquired, and a light source is extracted from the captured image. A probability for estimating a light source to be a vehicle light source originating from a vehicle is calculated based on light source parameters for differentiating the light source. A dark section that is darker than the periphery and is present below the light source in the captured image is extracted. The probability is set to be higher for the light source of which the dark section is extracted. The light source having a probability that is a reference value set in advance or higher is estimated to be a light source of another vehicle. When the dark section that is detected as a shadow of a vehicle is detected, the probability of the light source being a vehicle light source is set to be high.

Abstract: This disclosure relates to a computerized method to perform a machine learning on a relationship between medical images and metadata using a neural network and acquiring metadata by applying a machine learning model to medical images, and a method thereof. The apparatus and method may include training a prediction model for predicting metadata of medical images based on multiple medical images for learning and metadata matched with each of multiple medical images and predicting metadata of input medical image.

Abstract: Machine learning is used to assess data for a patient in an emergency, providing rapid diagnosis based on a large amount of information. Assistance in triage may be provided. Given the large variety of patients and conditions that may occur, the machine learning may rely on synthetically generated images for more accurate prediction. The machine learning may accurately predict even with missing information and may be used to determine what missing information for a given patient is more or less important to obtain.

Abstract: An image encryption/decryption system performs quantification and reconstruction of 2-D and 3-D layered and arbitrary grayscale or binary images in raster or vector format and supports their secure transmission between a Sender and a Receiver. Quantification parameters of the images include Indices of Intrinsic Anisotropy of size (IIAsize) and structure (IIAstr), which reflect the image anisotropy with high sensitivity. The IIASTR and IIASIZE are used as hash values in authentication of a transmitted image. The system assures that the same set of transects which was used by the Sender in the image encryption will be used only by an authorized Receiver for decryption of the image.

Abstract: The present disclosure relates to signal decoding and icon (e.g., a logo, shape, icon, etc.) detection.

Abstract: A magnetic resonance system is operated in a preliminary examination so as to acquire magnetic resonance data while an object undergoing investigation is in a first position relative to the scanner of the magnetic resonance system. Using the first magnetic resonance data, or image data derived therefrom, a processor reconstructs an image of the object. The image has a distortion in relation to the object. The processor presents the image to a person operating the system at a display device. The processor reconstructs the image such that the distortion is determined by a target position that is independent of the position of the object.

Abstract: The method and system may be used to provide an indication of a color value for a particular siding sample and to color match a specific siding product to the color value of the siding sample. The system receives a digital image of a siding sample and a desired color value to be matched. A color query module plots this desired color value as a desired color point in a multidimensional color space together with a plurality of color reference points. Each color reference point represents the color value of an existing siding product. The system determines a “distance” between the desired color point and each plotted color reference point within the color space and identifies the siding product associated with the color reference point that is located the shortest distance to the desired color point within the color space.

Abstract: A computer that extracts an attribute which is a text string contained in an predetermined examination target document stores template information for managing a plurality of templates in which a type of attribute is defined, executes a text recognition process on image data of the document, extracts an attribute corresponding to the type of attribute using a result of the text recognition process and the plurality of templates, selects a template based on the extracted attribute, generates output information that includes the attribute extracted using the selected template and is used for the examination; determines a type of confirmation operation performed on the output information, before the examination, based on a comparison result between an evaluation value indicating credibility of the output information and a threshold, and corrects the determined type of confirmation operation based on the text string contained in the document.

Abstract: A motion information calculation unit acquires motion information between a plurality of target images. An occlusion information calculation unit generates occlusion information between the target images. An image interpolation processing unit determines priority of the motion information based on the motion information and the occlusion information, and performs predetermined image processing for the target images by using motion information that is weighted based on the priority.