A method of modeling a structure of a coronary artery of a subject may include: forming a learning-based shape model of the structure of the artery, based on positions of landmarks acquired from three-dimensional images; receiving a target image; and/or modeling the artery structure included in the target image, using the model. An apparatus for modeling a structure of a coronary artery may include: a memory configured to store a learning-based shape model of the artery, the learning-based shape model being formed based on positions of a plurality of landmarks acquired from three-dimensional images, the plurality of the landmarks corresponding to the artery; a communication circuit configured to receive a target image; and/or a processing circuit configured to model the artery structure included in the target image, using the model.

Method and system is disclosed for image segmentation. The method includes acquiring a digital image, constructing a directed graph from the digital image, calculating a plurality of cost functions, constructing an electrical network based upon the constructed directed graph and the plurality of calculated cost functions, simulating the electrical network using fixed-point linearization, and thresholding the voltages in the simulated electrical network to produce image segmentation. Simulation may be executed in parallel to achieve desirable computational efficiencies.

Embodiments of the present invention provide a method for obtaining vital sign data of a target object, including: obtaining a 3D depth image of a target object; obtaining, according to depth values of pixels in the 3D depth image of the target object, framework parameters of the target object and a graphic contour of the target object, where the depth value, is obtained according to the distance information, indicates a distance between a point on the target object and the imaging device; retrieving a 3D model matching the framework parameters of the target object and the graphic contour of the target object from a 3D model library, and obtaining a parameter ratio of the 3D model; obtaining at least one real size of the target object; and obtaining vital sign data of the target object according to the parameter ratio of the 3D model and the at least one real size.

An activity recognition system is disclosed. A plurality of temporal features is generated from a digital representation of an observed activity using a feature detection algorithm. An observed activity graph comprising one or more clusters of temporal features generated from the digital representation is established, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph. At least one contextually relevant scoring technique is selected from similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation, and a similarity activity score is calculated for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph.

Provided are an information processing apparatus, an information processing method, and an information processing program with which a state of a manufactured component can be accurately understood. An information processing apparatus includes a processor, in which the processor acquires first information including information on severity of a discontinuity obtained by analyzing an image obtained by imaging an object, calculates a distribution of the severity of the discontinuity based on the first information, acquires information on a threshold value of a defect, generates second information in which the distribution of the severity of the discontinuity and the threshold value are displayed, and displays the second information on a display device.

Provided are an information processing apparatus, an information processing method, and an information processing program with which a state of a manufactured component can be accurately understood. An information processing apparatus includes a processor, in which the processor acquires first information including information on severity of a discontinuity obtained by analyzing an image obtained by imaging an object, calculates a distribution of the severity of the discontinuity based on the first information, acquires information on a threshold value of a defect, generates second information in which the distribution of the severity of the discontinuity and the threshold value are displayed, and displays the second information on a display device.

Features are disclosed for classifying pixels included in a digital image. Distance information from a pixel to structural reference points, such as skeletal joints, is generated. The distance information is then applied to a pixel classifier to identify one or more classifications for the pixel.

Various technologies pertaining to modeling patterns of activity observed in remote sensing images using geospatial-temporal graphs are described herein. Graphs are constructed by representing objects in remote sensing images as nodes, and connecting nodes with undirected edges representing either distance or adjacency relationships between objects and directed edges representing changes in time. Activity patterns may be discerned from the graphs by coding nodes representing persistent objects like buildings differently from nodes representing ephemeral objects like vehicles, and examining the geospatial-temporal relationships of ephemeral nodes within the graph.

Techniques for time-correlated ink are described. According to various embodiments, ink input is correlated to content. For instance, ink input received during playback of a video is timestamped. According to various embodiments, ink input displayed over content is removed after input ceases. Further, ink input is displayed during playback of the portion of content to which the ink input is time correlated.

Systems and method can be provided to transform input data (e.g., CT imaging data) into structured representations to create interpretable models. Another aspect of the current invention can be generating labels synthetically to apply to real data according to a biologically-based labelling technique to guide the model training with a priori mechanistic knowledge.