A drawing image according to drawing data is inputted to an image analysis device. The image analysis device includes a similar image searching unit, an image correspondence detection unit, an attribute output unit, and a knowledge database. The similar image searching unit searches the knowledge database for a drawing image similar to the input drawing image. The image correspondence detection unit detects which of objects and/or their components shown in a drawing image corresponds to which of objects and/or their components shown in the drawing image retrieved by the similar image searching unit. The attribute output unit extracts attribute information of a corresponding point detected by the image correspondence detection unit from the knowledge database to output it as the attribute information of the drawing image.

A platform for design of a lighting installation generally includes an automated search engine for retrieving and storing a plurality of lighting objects in a lighting object library and a lighting design environment providing a visual representation of a lighting space containing lighting space objects and lighting objects. The visual representation is based on properties of the lighting space objects and lighting objects obtained from the lighting object library. A plurality of aesthetic filters is configured to permit a designer in a design environment to adjust parameters of the plurality of lighting objects handled in the design environment to provide a desired collective lighting effect using the plurality of lighting objects.

An information processing apparatus (2000) acquires a shelf rack image (12) in which a product shelf rack on which a product is displayed is imaged. The information processing apparatus (2000) performs image analysis on the shelf rack image (12), and generates information (actual display information) relevant to a display situation of the product on a product shelf rack (20). The information processing apparatus (2000) acquires reference display information representing a reference for display of the product on the product shelf rack (20). The information processing apparatus (2000) compares the actual display information generated by performing the image analysis on the shelf rack image (12) with the acquired reference display information, and generates comparison information representing a result.

This application discloses a vehicle drivable area detection method, an autonomous driving assistance system, and an autonomous driving vehicle. The method includes: processing, by using a neural network, image data obtained by a camera apparatus, to obtain a first probability distribution of an obstacle; obtaining a second probability distribution of the obstacle based on a time of flight and an echo width of a radar echo signal; and obtaining, based on the first probability distribution of the obstacle and the second probability distribution of the obstacle, a drivable area of a vehicle represented by a probability, where the probability is a probability that the vehicle cannot drive through the area. The autonomous driving assistance system includes a camera apparatus, at least one radar, and a processor. The system is configured with the technical solutions that can implement the method. The autonomous driving vehicle includes the foregoing autonomous driving assistance system.

The present disclosure relates to an object selection system that accurately detects and automatically selects target instances of user-requested objects (e.g., a query object instance) in a digital image. In one or more embodiments, the object selection system can analyze one or more user inputs to determine an optimal object attribute detection model from multiple specialized and generalized object attribute models. Additionally, the object selection system can utilize the selected object attribute model to detect and select one or more target instances of a query object in an image, where the image includes multiple instances of the query object.

A map updating method may include calculating a relative pose relationship between consecutive images; calculating an absolute pose of each image based on the relative pose relationship between the consecutive images; and updating a map used for visual localization (VL) based on the absolute pose.

The present disclosure relates to an object selection system that automatically detects and selects objects in a digital image based on natural language-based inputs. For instance, the object selection system can utilize natural language processing tools to detect objects and their corresponding relationships within natural language object selection queries. For example, the object selection system can determine alternative object terms for unrecognized objects in a natural language object selection query. As another example, the object selection system can determine multiple types of relationships between objects in a natural language object selection query and utilize different object relationship models to select the requested query object.

Methods for composition aware image search refinement using relevance feedback. A method includes receiving, in response to user input, a relevance area within a plurality of image results, wherein the plurality of image results are provided for display on a user interface in response to a first search query using a plurality of spatial anchors in association with respective semantic datasets, and wherein the relevance area is associated with a target semantic dataset. The method also includes determining a mapping from the target semantic dataset to the plurality of spatial anchors, adjusting, based on the mapping, the semantic datasets associated with the plurality of spatial anchors, and providing for display, in the user interface, a plurality of refined image results in response to a second search query using the plurality of spatial anchors in association with the adjusted semantic datasets.

Systems and methods for document processing are discussed herein. In certain embodiments, novel document processor programs may allow for a knowledge worker to concentrate on the content of a document, rather than its formatting. Such programs may separately store layout and/or typesetting information from content, allowing for their combination after the content is created. Novel data structures and techniques are provided to permit the use of advanced version control, collaboration techniques and team/or workflows. User interfaces are also disclosed which dynamically adapt to a document type and/or a portion of a document being edited. Such features may significantly increase knowledge worker drafting efficiency.

The disclosure is generally directed to optical devices and apparatuses for capturing, structuring, and using interlinked multi-directional still pictures and/or multi-directional motion pictures as well as the related systems and methods, and their applications on computing and/or other devices.