Example embodiments that analyze images to characterize aspects of the images rely on a same neural network to characterize multiple aspects in parallel. Because additional neural networks are not required for additional aspects, such an approach scales with increased aspects.

Approaches are described for shape-based graphics search. Each graphics object of a set of graphics objects is analyzed. The analyzing includes determining an outline of the graphics object from graphics data that forms the graphics object. The outline of the graphics object is sampled resulting in sampled points that capture the outline of the graphics object. A shape descriptor of the graphics object is determined which captures local and global geometric properties of the sampled points. Search results of a search query are determined based on a comparison between a shape descriptor of a user identified graphics object and the shape descriptor of at least one graphics object of the set of graphics objects. At least one of the search results can be presented on a user device associated with the search query.

A system for identifying a person approaching an access way of a sporting event. The is identified using pass-through facial recognition technology in which one or more images of the person are taken while the person is in motion. The person is identified by comparing one of the images taken while the person approaches the access way of the sporting event with a profile image of the person.

Provided is an information processing system including: a feature information accepting unit that, by causing a user to specify a position in a feature map in which a plurality of feature images indicating features to be displayed are arranged, accepts entry of feature information associated with the position in the feature map; an image acquisition unit that acquires an image used for display based on the feature information; and a display information generation unit that generates display information used for causing a display device to display the image used for display.

A background image generation method, a non-transitory computer-readable storage medium and an electronic device. The background image generation method includes: acquiring a first image, searching a second image matching the first image in a preset image library; and performing a color-modulation process on the second image according to the first image, and generating a background image. The user's personalized demands regarding a background image are satisfied, and time and hardware costs for obtaining a background image are reduced.

Systems and methods for detection and localization of image and document forgery. The method can include the step of receiving a dataset having a plurality of authentic images and a plurality of manipulated images. The method can also include the step of benchmarking a plurality of image forgery algorithms using the dataset. The method can further include the step of generating a plurality of receiver operating characteristic (ROC) curves for each of the plurality of image forgery algorithms. The method also includes the step of calculating a plurality of area under curve metrics for each of the plurality of ROC curves. The method further includes the step of training a neural network for image forgery based on the plurality of area under curve metrics.

Facial recognition-based authentication comprises obtaining a first image of a target object, updating projection information associated with a display by a display device, obtaining a second image of the target object, the second image being an image of the target object after the projection information is updated, obtaining an image difference data based at least in part on the first image and the second image, and determining whether the target object is a virtual object based at least in part on the image difference data.

Methods and systems for facilitating photo-based estimation are described. In an aspect, a computing device is configured to receive, from the camera, a signal comprising image data. The image data may represent at least a portion of a vehicle. The computing device may also retrieve data representing a preferred scene of the vehicle and determine, based on the image data and based on the data representing the preferred scene of the vehicle, whether the image data corresponds to the preferred scene of the vehicle. The server may, when the received image data corresponds to the preferred scene of the vehicle, enable capture of the image data. The server may send, via the communications module, a signal representing the captured image data to a processing server configured to analyze the captured image data to assess vehicular damage.

In an example embodiment, a method of identifying an item depicted in an image is provided. In this method, the image depicting the item is accessed; in addition, other images and their item identifiers are also accessed. A match of the image with one of the other images is identified. With a match, the image is then associated with an item identifier of the matched image.

Processor implemented systems and methods for matching color and appearance of a target coating are provided herein. A system includes a storage device for storing instructions, and one or more data processors. The data processor(s) are configured to execute instructions to receive a target image of a target coating. The data processor(s) are also configured to apply a feature extraction analysis process that divides the target image into a plurality of target pixels for image analysis.