A system and method that allows the capture of a series of images to create a single linear panoramic image is disclosed. The method includes capturing an image, dynamically comparing a previously captured image with a preview image on a display of a capture device until a predetermined overlap threshold is satisfied, generating a user interface to provide feedback on the display of the capture device to guide a movement of the capture device, and capturing the preview image with enough overlap with the previously captured image with little to no tilt for creating a linear panorama.

The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and flexibly identifying digital images with similar style to a query digital image using fine-grain style determination via weakly supervised style extraction neural networks. For example, the disclosed systems can extract a style embedding from a query digital image using a style extraction neural network such as a novel two-branch autoencoder architecture or a weakly supervised discriminative neural network. The disclosed systems can generate a combined style embedding by combining complementary style embeddings from different style extraction neural networks. Moreover, the disclosed systems can search a repository of digital images to identify digital images with similar style to the query digital image. The disclosed systems can also learn parameters for one or more style extraction neural network through weakly supervised training without a specifically labeled style ontology for sample digital images.

A material data collection system allows capturing of material data. For example, the material data collection system may include digital image data for materials. The material data collection system may ensure that captured digital image data is properly aligned, so that material data may be easily recalled for later use, while maintaining the proper alignment for the captured digital image. The material data collection system may include using a capture guide, to provide cues on how to orient a mobile device used with the material data collection system.

A material data collection system allows capturing of material data. For example, the material data collection system may include digital image data for materials. The material data collection system may ensure that captured digital image data is properly aligned, so that material data may be easily recalled for later use, while maintaining the proper alignment for the captured digital image. The material data collection system may include using a capture guide, to provide cues on how to orient a mobile device used with the material data collection system.

A machine learning image processing system performs natural language processing (NLP) and auto-tagging for an image matching process. The system facilitates an interactive process, e.g., through a mobile application, to obtain an image and supplemental user input from a user to execute an image search. The supplemental user input may be provided from a user as speech or text, and NLP is performed on the supplemental user input to determine user intent and additional search attributes for the image search. Using the user intent and the additional search attributes, the system performs image matching on stored images that are tagged with attributes through an auto-tagging process.

A method comprising: obtaining a three-dimensional (3D) point cloud about an object; obtaining binary feature descriptors for feature points in a 2D image about the object; assigning a plurality of index values for each feature point as multiple bits of the corresponding binary feature descriptor; storing the binary feature descriptor in a table entry of a plurality of hash key tables of a database image; obtaining query binary feature descriptors for feature points in a query image; matching the query binary feature descriptors to the binary feature descriptors of the database image; reselecting one bit of the hash key of the matched database image; and re-indexing the feature points in the table entries of the hash key table of the database image.

A contextual local image recognition module of a device retrieves a primary content dataset from a server and then generates and updates a contextual content dataset based on an image captured with the device. The device stores the primary content dataset and the contextual content dataset. The primary content dataset comprises a first set of images and corresponding virtual object models. The contextual content dataset comprises a second set of images and corresponding virtual object models retrieved from the server.

Certain aspects of the technology disclosed herein involve combining images to generate a wide view image of a surrounding environment. Images can be recorded using an stand-alone imaging device having wide angle lenses and/or normal lenses. Images from the imaging device can be combined using methods described herein. In an embodiment, a pixel correspondence between a first image and a second image can be determined, based on a corresponding overlap area associated with the first image and the second image. Corresponding pixels in the corresponding overlap area associated with the first image and the second image can be merged based on a weight assigned to each of the corresponding pixels.

There is presented a method and system for providing a compact graphical user interface for flexible filtering of data. The method comprises showing a search interface on a display device for filtering a content set by a plurality of domains, including a first domain, displaying, within the search interface, a first graphical representation of a parameter set of the first domain in response to a selecting of the first domain, receiving a first parameter subset from the first graphical representation, filtering a content set using the first parameter subset to obtain a search result, and displaying the search result on a display device. The search interface includes a temporally visible menu for selecting parameter sets of the domains and a compact single line query box to display graphical representations of parameter sets or to provide a conventional text entry box.

Disclosed are an electronic apparatus and a method of controlling the same. The electronic apparatus includes: a display; and a processor configured to: control the display to display an image on the display, identify a screen mode of the display displaying an image among a plurality of screen modes having different aspect ratios, and provide information on content corresponding to the identified screen mode among a plurality of pieces of content.