Abstract: Systems and methods are described for retexturing portions of surface in a 2-D image, where the surface is an image of a 3-D object. The systems and methods analyze, with user input, the 2-D image and then, in computer memory, generate a 3-D model of the imaged surface. The surface may then be retextured, that is, for example, artwork may be added to the 2-D image in a realistic manner, taking into account a 3-D geometry in the scene of the 2-D image.

Abstract: A method comprising using at least one hardware processor for: receiving a continuous stream of images; and in real time, for each image of some of the images: extracting composition features from the image, determining photographic composition functions for at least some of the extracted composition features based on a plurality of composition rules, defining a photographic composition sum-function by summing up at least some of the photographic composition functions, and calculating an extremum of the photographic composition sum-function, wherein the extremum reflects a photographic composition suggestion with respect to a photographic composition of the image.

Abstract: Systems, methods, and computer program products to perform an operation comprising assigning each of a plurality of nodes of a graph to a distinct image, of a plurality of images, wherein the graph represents a story, wherein each node corresponds to a respective element of the story, wherein each node comprises: (i) an attribute and (ii) a text of the respective element of the story, wherein the plurality of graph nodes are assigned based on a set of attributes of each of the plurality of images and the attribute of each node, and generating a visual depiction of the story, wherein the visual depiction comprises an ordered representation of each of the distinct images and the text of each respective element of the story.

Abstract: One embodiment provides a method for identifying a probability that an object will fail, comprising: generating a plurality of force distributions for an object, wherein a force distribution simulates an amount of force on the object resulting from an activity with the object; compressing the plurality of force distributions into a set of conditions; performing an analysis on the set of conditions to determine a stress experienced by the object; and identifying a probability that the object will fail, wherein the identifying comprises determining whether the stress experienced by the object exceeds a yield stress of the object. Other aspects are described and claimed.

Abstract: A method of obtaining a three-dimensional digital model of an artificial object, made up of a plurality of geometric primitives, the artificial object being in a single two-dimensional photograph, the method comprising: using edge detection to define a two-dimensional outline of the artificial object within the photograph; interactively allowing a user to define two-dimensional profiles of successive ones of the geometric primitives; interactively allowing a user to sweep respective profiles over an extent of a corresponding one of the geometric primitives within the image; generating successive three-dimensional model parts from existing detected edges of the corresponding geometric primitives and the sweeping of the respective profile; and aligning the plurality of three-dimensional model parts to form the three-dimensional model.

Abstract: A method of obtaining a three-dimensional digital model of an artificial object, made up of a plurality of geometric primitives, the artificial object being in a single two-dimensional photograph, the method comprising: using edge detection to define a two-dimensional outline of the artificial object within the photograph; interactively allowing a user to define two-dimensional profiles of successive ones of the geometric primitives; interactively allowing a user to sweep respective profiles over an extent of a corresponding one of the geometric primitives within the image; generating successive three-dimensional model parts from existing detected edges of the corresponding geometric primitives and the sweeping of the respective profile; and aligning the plurality of three-dimensional model parts to form the three-dimensional model.

Abstract: A method of obtaining a three-dimensional digital model of an artificial object, made up of a plurality of geometric primitives, the artificial object being in a single two-dimensional photograph, the method comprising: using edge detection to define a two-dimensional outline of the artificial object within the photograph; interactively allowing a user to define two-dimensional profiles of successive ones of the geometric primitives; interactively allowing a user to sweep respective profiles over an extent of a corresponding one of the geometric primitives within the image; generating successive three-dimensional model parts from existing detected edges of the corresponding geometric primitives and the sweeping of the respective profile; and aligning the plurality of three-dimensional model parts to form the three-dimensional model.

Abstract: A method comprising using at least one hardware processor for: receiving a continuous stream of images; and in real time, for each image of some of the images: extracting composition features from the image, determining photographic composition functions for at least some of the extracted composition features based on a plurality of composition rules, defining a photographic composition sum-function by summing up at least some of the photographic composition functions, and calculating an extremum of the photographic composition sum-function, wherein the extremum reflects a photographic composition suggestion with respect to a photographic composition of the image.

Abstract: Described herein are methods, systems, apparatuses and products for utilizing motion fields to predict evolution in dynamic scenes. One aspect provides for accessing active object position data including positioning information of a plurality of individual active objects; extracting a plurality of individual active object motions from the active object position data; constructing a motion field using the plurality of individual active object motions; and using the motion field to predict one or more points of convergence at one or more spatial locations that active objects are proceeding towards at a future point in time. Other embodiments are disclosed.

Abstract: Systems, methods, and computer program products to perform an operation comprising assigning each of a plurality of nodes of a graph to a distinct image, of a plurality of images, wherein the graph represents a story, wherein each node corresponds to a respective element of the story, wherein each node comprises: (i) an attribute and (ii) a text of the respective element of the story, wherein the plurality of graph nodes are assigned based on a set of attributes of each of the plurality of images and the attribute of each node, and generating a visual depiction of the story, wherein the visual depiction comprises an ordered representation of each of the distinct images and the text of each respective element of the story.

Abstract: Systems and methods are described for retexturing portions of surface in a 2-D image, where the surface is an image of a 3-D object. The systems and methods analyze, with user input, the 2-D image and then, in computer memory, generate a 3-D model of the imaged surface. The surface may then be retextured, that is, for example, artwork may be added to the 2-D image in a realistic manner, taking into account a 3-D geometry in the scene of the 2-D image.

Abstract: One embodiment of the present invention sets forth a technique for generating a three-dimensional (3D) model of an individual. The technique involves receiving pose data that includes image data associated with the individual being in a pose, selecting from a database a morphable 3D generic human model based on a gender of the individual, adjusting a pose of the morphable 3D generic model based on the image data, identifying, based on the image data, one or more 3D appearance parameter objects included in the database, and adjusting via one or more processors one or more properties of the morphable 3D generic model based on the image data as well as the one or more 3D appearance parameter objects to produce the 3D model of the individual.

Abstract: A method is provided for sketch segmentation via smart scribbles, the results of which are especially suitable for interactive real-time graphics editing applications. A vector-based drawing may be segmented into labels based on input scribbles provided by a user. By organizing the labeling as an energy minimization problem, an approximate solution can be found using a sequence of binary graph cuts for an equivalent graph, providing an optimized implementation in a polynomial time suitable for real-time drawing applications. The energy function may include time, proximity, direction, and curvature between strokes as smoothness terms, and proximity, direction, and oriented curvature between strokes and scribbles as data terms. Additionally, the energy function may be modified to provide for user control over locality control, allowing the selection of appropriately sized labeling regions by scribble input speed or scribble input pressure.

Abstract: A method of obtaining a three-dimensional digital model of an artificial object, made up of a plurality of geometric primitives, the artificial object being in a single two-dimensional photograph, the method comprising: using edge detection to define a two-dimensional outline of the artificial object within the photograph; interactively allowing a user to define two-dimensional profiles of successive ones of the geometric primitives; interactively allowing a user to sweep respective profiles over an extent of a corresponding one of the geometric primitives within the image; generating successive three-dimensional model parts from existing detected edges of the corresponding geometric primitives and the sweeping of the respective profile; and aligning the plurality of three-dimensional model parts to form the three-dimensional model.

Abstract: Provided is a system and method for classifying and identifying a driver using driving performance data. The system comprises one or more devices in electronic communication with a network, the one or more devices including one or more sensors for obtaining driving performance data associated with operation of a vehicle by a driver, and a driving signature engine in electronic communication with the one or more devices, the driving signature engine designating at least one data channel for obtaining driving performance data, processing the driving performance data obtained from the data channel to determine code words, determining a driving signature according to the code words, and identifying or classifying the driver according to the determined driving signature.

Abstract: One embodiment of the present invention sets forth a technique for generating a three-dimensional (3D) model of an individual. The technique involves receiving pose data that includes image data associated with the individual being in a pose, selecting from a database a morphable 3D generic human model based on a gender of the individual, adjusting a pose of the morphable 3D generic model based on the image data, identifying, based on the image data, one or more 3D appearance parameter objects included in the database, and adjusting via one or more processors one or more properties of the morphable 3D generic model based on the image data as well as the one or more 3D appearance parameter objects to produce the 3D model of the individual.

Abstract: One embodiment of the present invention sets forth a technique for generating a three-dimensional (3D) model of an individual. The technique involves receiving pose data that includes image data associated with the individual being in a pose, selecting from a database a morphable 3D generic human model based on a gender of the individual, adjusting a pose of the morphable 3D generic model based on the image data, identifying, based on the image data, one or more 3D appearance parameter objects included in the database, and adjusting via one or more processors one or more properties of the morphable 3D generic model based on the image data as well as the one or more 3D appearance parameter objects to produce the 3D model of the individual.

Abstract: A system for analyzing driving performance data is provided. The system and method include one or more devices in electronic communication with a network, the one or more devices including one or more sensors for obtaining raw data associated with operation of a vehicle by a driver. A driving performance engine in electronic communication with the device, the driving performance engine generates one or more granular driving events by defining values of one or more driving parameters by associating the one or more driving parameters to the raw data, compares the one or more granular driving events with one or more similar previous driving events of the driver or other drivers having similar driving parameters and values thereof, normalizes the one or more granular driving events of the driver based on the comparison, and processes the one or more granular driving events using the driving performance engine and one or more statistical models to calculate a performance or risk value for the driver.

Abstract: A method is provided for sketch segmentation via smart scribbles, the results of which are especially suitable for interactive real-time graphics editing applications. A vector-based drawing may be segmented into labels based on input scribbles provided by a user. By organizing the labeling as an energy minimization problem, an approximate solution can be found using a sequence of binary graph cuts for an equivalent graph, providing an optimized implementation in a polynomial time suitable for real-time drawing applications. The energy function may include time, proximity, direction, and curvature between strokes as smoothness terms, and proximity, direction, and oriented curvature between strokes and scribbles as data terms. Additionally, the energy function may be modified to provide for user control over locality control, allowing the selection of appropriately sized labeling regions by scribble input speed or scribble input pressure.

Abstract: One embodiment of the present invention sets forth a technique for generating a three-dimensional (3D) model of an individual. The technique involves receiving pose data that includes image data associated with the individual being in a pose, selecting from a database a morphable 3D generic human model based on a gender of the individual, adjusting a pose of the morphable 3D generic model based on the image data, identifying, based on the image data, one or more 3D appearance parameter objects included in the database, and adjusting via one or more processors one or more properties of the morphable 3D generic model based on the image data as well as the one or more 3D appearance parameter objects to produce the 3D model of the individual.