Techniques for performing multi-sensor calibration on a vehicle are described. A method includes obtaining, from each of at least two sensors located on a vehicle, sensor data item of a road comprising a lane marker, extracting, from each sensor data item, a location information of the lane marker, and calculating extrinsic parameters of the at least two sensors based on determining a difference between the location information of the lane marker from each sensor data item and a previously stored location information of the lane marker.

To provide a control device and a program capable of improving convenience of character reading from a captured image.

A control device includes a control unit configured to perform a process of recognizing character groups in a captured image obtained by capturing an image of a periphery of a user, a process of identifying a character group of which a defined priority exceeds a threshold among the recognized character groups, and a process of reading the identified character group by a voice.

An object is to improve character recognition accuracy of handwritten characters, originally a single continuous character string, described discontinuously. An image area corresponding to a handwritten character is separated from a document image obtained by scanning a document and a character block including characters having the same baseline is extracted. Then, in a case where a plurality of character blocks is extracted from the first image area, a single character block is generated by combining character blocks based on a position relationship of the plurality of character blocks.

A packaging information system recognizes a real world packaging object relating to a product or other item and uses augmented, mixed and/or virtual reality to display information relating to the product/item and/or the transaction on a smart device such as a smartphone or AR glasses.

A method for generating a plurality of sets of training image data for training a machine learning model includes: (a) acquiring object image data representing an object image; (b) dividing the object image into T number of partial object images by dividing a region of the object image into T number of partial regions corresponding to respective ones of T number of partial color ranges; (c) generating a plurality of sets of color-modified object image data representing respective ones of a plurality of color-modified object images by performing an adjustment process on the object image data, the adjustment process including a color modification process to modify colors of at least one of the T number of partial object images; and (d) generating the plurality of sets of training image data using one or more sets of background image data and the plurality of sets of color-modified object image data.

A method of identifying and analyzing contiguities in images is disclosed. The contiguities are indicative features and various qualities of an image, which may be used for identifying objects and/or relationships in images. Alternatively, the contiguities may be helpful in ensuring that an image has a desired figure-ground ambiguous switch between percepts, so as to create a desired effect when combined with other images to generate a composite image set. The contiguity may be a group of picture elements that are adjacent to one another that form a continuous image element that extends generally horizontally (e.g., diagonally, horizontally and/or vertically) across the image.

A license plate recognition process is described that includes automated image analysis integrated with human review and a definition of a plate grammar of license plate visual elements that are required to prepare a database search index that enables selection of a particular license plate, from a known population of all possible license plates issued for each and every jurisdiction of interest. The plate grammar includes visual elements that may be searched by both automated image analysis and by a human reviewer. The process includes creation of a question that guides a human reviewer into providing required information regarding a selected plate grammar element that is not identified by computerized image analysis. Integration of a manual review process within an automated process as opposed to manual review solely at a failed completion of the automated process is included. Methods are presented for creation of queries for manual review that take into account the skill and availability of the manual reviewer as well as optimizing for a shortest path to completion of the recognition of the license plate through the database search index.

An aspect of the present invention discloses a method for extracting content from a document. The method includes one or more processors identifying a visual anchor corresponding to a text element depicted in a first document utilizing an edge detection analysis. The method further includes determining edge coordinates of the text element depicted in the first document. The method further includes determining text at a leading edge of the text element depicted in the first document and text at a trailing edge of the text element depicted in the first document, based on the determined edge coordinates. The method further includes extracting a complete version of the text element depicted in the first document, from a plain text version of the first document, utilizing the determined text at the leading edge of the text element and the determined text at the trailing edge of the text element.

A data processing method and apparatus, a computer device, a readable storage medium, and a computer program product are provided. The method includes: displaying a shot picture in a shooting interface, the shot picture being captured by a shooting component and including a target object; displaying a first virtual rendering area of the target object in the shooting interface in response to a first trigger operation for the target object in the shooting interface; and displaying media data in the first virtual rendering area, the media data being associated with an object classification of the target object.

A method includes receiving a binary annotation of source text; performing a close operation on the binary annotation to generate a closed annotation using an initial kernel size; defining one or more contours in the closed annotation using one or more bounding boxes, respectively; determining a subset of the one or more contours for which a percentage of area occupied by text within a corresponding bounding box exceeds a threshold; and generating a final annotation of the source text based on the subset of the one or more contours.