Abstract: An apparatus configured to perform or control obtaining or causing obtaining an image of at least a part of a surface of a document. The apparatus deriving or causing the derivation of a representation of the at least a part of the surface from the image. The representation comprising a set of values respectively representing a corresponding set of height levels. The apparatus generates or causes the generating of a string of characters based on the representation of the part of the surface. The string of characters comprising a first portion representative of the set of height levels of the corresponding sections of the part of the surface and a second portion generated based on a function of the representation and/or of the first portion of the string of characters. The apparatus associates or causes the associating of information representing the string of characters with identification information of the document.

Abstract: A method of forming a physical model of a geographic area. The method includes the steps of generating a digital elevation model of a topography of a defined geographic area, scaling the digital elevation model to a predetermined size, determining a parametric function from the scaled digital elevation model according to a predetermined shape, determining a linear function from the parametric function, determining a machine path from the linear function, and forming one or more material portions according to the machine path, thereby forming one or more portions representative of the defined geographic area.

Abstract: Provided is a printing device that can accurately perform printing on a recording medium. The printing device includes: a frame member disposed to surround a nail tip; a printing unit configured to perform printing on the nail tip surrounded by the frame member; a communication part configured to acquire print information which is generated based on an image obtained by capturing the frame member and the nail tip and indicates a layout of printing to be applied to the nail tip in a printable region defined by the frame member; and a print control part configured to control the printing unit based on the acquired print information.

Abstract: Tissue surface tracking of tissue features is disclosed. First surface imaged features are tracked based on the first and second time spaced images at a first wavelength. Second surface imaged features are tracked based on the first and second time spaced tissue surface images at the second wavelength. Tracking metrics are obtained based on the tracking steps. The tracking steps are combined to provide a combined tracking metric. The combined tracking metric is used in a tissue surface navigation application.

Abstract: A method includes obtaining a set of images that correspond to a person. The method includes generating a body pose model of the person defined by a branched plurality of neural network systems. Each neural network system models a respective portion of the person between a first body-joint and a second body-joint as dependent on an adjacent portion of the person sharing the first body-joint. Providing the set of images of the respective portion to a first one and a second one of the neural network systems. The first one and second one correspond to adjacent body portions. The method includes determining, jointly by at least the first one and second one of the plurality of neural network systems pose information for the first respective body-joint and the second respective body-joint.

Abstract: A method, system and computer program for automatic, highly accurate machine scans of unstructured text data sources, like information kept or displayed in Web browsers, WORD, POWERPOINT, EXCEL, PDF, and other documents, with the ability to detect, isolate and extract specific text information from unknown and varying locations within the unstructured text data. The system uses multiple human-vision-like but electronic scans of the unstructured data using artificial intelligence techniques to locate, and extract required information despite varying conditions, like unknown number of pages, unknown sequence of pages, unknown data layouts and data arrangements, unknown number, lengths and indentations of sections/paragraphs, and in case of tabular data, unknown number of rows and column sequences in the unstructured text data source.

Abstract: Apparatus and method for denoising of images generated by a rendering engine such as a ray tracing engine. For example, one embodiment of a system or apparatus comprises: A system comprising: a plurality of nodes to perform ray tracing operations; a dispatcher node to dispatch graphics work to the plurality of nodes, each node to perform ray tracing to render a region of an image frame; at least a first node of the plurality comprising: a ray-tracing renderer to perform ray tracing to render a first region of the image frame; and a denoiser to perform denoising of the first region using a combination of data associated with the first region and data associated with a region outside of the first region, at least some of the data associated with the region outside of the first region to be retrieved from at least one other node.

Abstract: A technique for improving the computational time for performing a non-maximum suppression operation may include receiving a request to perform a non-maximum suppression operation on a set of candidate predictions of a computing task, and performing a statistical analysis on a set of confidence scores corresponding to the set of candidate predictions to determine a standard deviation of the set of confidence scores. A confidence score threshold can be determined based on the standard deviation. Candidate predictions having a confidence score below the confidence score threshold can then be discarded to form a reduced set of candidate predictions. Additional candidate predictions can be discarded from the reduced set of candidate predictions based on an intersection-over-union overlap metric, and the remaining candidate predictions from the reduced set of candidate predictions can be provided as a result of the non-maximum suppression operation.

Abstract: Disclosed herein are system, method, and computer program product embodiments for correcting extracted document information based on generated confidence and correctness scores. In an embodiment, a document correcting system may receive a document and document information that represents information extracted from the document. The document correcting system may determine the correctness of the document information by processing the document to generate a character grid representing textual information and spatial arrangements for the text within the document. The document correcting system may apply a convolutional neural network on character grid and the document information. The convolutional neural network may output corrected document information, a correctness value indicating the possible errors in the document information, and a confidence value indicating a likelihood of the possible errors.

Abstract: System, methods, and other embodiments described herein relate to training a depth model for joint depth completion and prediction. In one arrangement, a method includes generating depth features from sparse depth data according to a sparse auxiliary network (SAN) of a depth model. The method includes generating a first depth map from a monocular image and a second depth map from the monocular image and the depth features using the depth model. The method includes generating a depth loss from the second depth map and the sparse depth data and an image loss from the first depth map and the sparse depth data. The method includes updating the depth model including the SAN using the depth loss and the image loss.

Abstract: The present invention relates to an apparatus for calibrated testing of a printing of an article. The apparatus includes a data providing device adapted to provide printing data for the article from product data of the article and a camera device adapted to capture an image of an article printed by a printing process and to provide it as image data. The apparatus also includes a database device adapted to provide calibration data for the camera device and a computer device adapted to perform a quality check of the printing process based on a comparison of the printing data with the image data taking into account the calibration data.

Abstract: A system and method for a master platform includes receiving first pose data associated with an image sensor of a first device, and a first semantic map generated by the first device, the first semantic map including a simplified object representation in a coordinate space of the first device. The master platform also receives second pose data associated with an image sensor of a second device, and a second semantic map generated by the second device, the second semantic map including a simplified object representation in a coordinate space of the second device. A shared simplified object representation common to the first and semantic maps is identified. The master platform further combines the first semantic and second semantic maps based on the first and second pose data. The first pose data, first semantic map, second pose data, and second semantic map are associated with a common time interval.

Abstract: A media sequence includes media items arranged in a sequence. A graph is generated to represent animations available for the media items in the media sequence. The graph includes nodes that represent the available animations. The animations to be used in generating the media sequence is selected via selection of a path through the graph, and the media sequence is generated using the selected animations.

Abstract: An editing device is configured to edit print data including first print data and second print data via a display device for creating a composite label with a printing device. The composite label includes a first label and a second label and is created by superposing the second label over the first label. A set of program instructions, when executed by a controller of the editing device, causes the editing device to perform displaying an editing screen on the display device. The editing screen has a first region, a second region, and a composite region. The displaying displays a first label image based on the first print data in the first region, a second label image based on the second print data in the second region, and a composite label image formed by superposing the second label image over the first label image in the composite region.

Abstract: The present disclosure generally relates to generating and modifying virtual avatars. An electronic device having a camera and a display apparatus displays a virtual avatar that changes appearance in response to changes in a face in a field of view of the camera. In response to detecting changes in one or more physical features of the face in the field of view of the camera, the electronic device modifies one or more features of the virtual avatar.

Abstract: In a system, a setting window including at least a preview region in which a scanned image is previewed and a text field to which attribute information on the scanned image is input is displayed, when a character region within the scanned image previewed in the setting window is moused over, control to preliminarily display a character string corresponding to the moused-over character region in the text field is performed, and when the moused-over character region is clicked by a mouse, control to fix the character string preliminarily displayed in the text field is performed.

Abstract: A system comprising; analyzing a building model, wherein a set of wall panels are isolated from other assemblies; processing a first set of data associated with the coordinates of the wall panels; processing a second set of data associated with the assembly of the wall panels; creating a set of data associated with the assembly of the wall panel and the coordinates of a set of wall panel members; formulating an assembly of the wall panel, wherein the assembly is a predetermined organization of the wall panels based on the first set of data and the second set of data; calculating the assembly based on a set of limitations, wherein the limitations are based on the shipping vessel; manipulating the assembly, wherein the manipulated assembly is within the limitations of the shipping vessel; and generating a graphical representation of the manipulated assembly.

Abstract: The disclosed embodiments relate to a method for controlling a virtual character (or “avatar”) using a multi-modal model. The multi-modal model may process various input information relating to a user and process the input information using multiple internal models. The multi-modal model may combine the internal models to make believable and emotionally engaging responses by the virtual character. The link to a virtual character may be embedded on a web browser and the avatar may be dynamically generated based on a selection to interact with the virtual character by a user. A report may be generated for a client, the report providing insights as to characteristics of users interacting with a virtual character associated with the client.

Abstract: The disclosed system presents to a user a first group of options representing information to include in a label. The system receives a first selection of a portion of the options representing first selected information to include in the label. Upon receiving the first selection of the portion of the options, the system adjusts a second group of options presented to the user based on the first selection. The system receives a second selection of a portion of the second group of options indicating a second selected information to include in the label. The system sends the first selected information and the second selected information to a printer.

Abstract: An image processing apparatus includes one or more processors and one or more memories, the one or more memories including one or more programs. The one or more programs cause the one or more processors (a) to acquire first shape data that represents a three-dimensional shape of unevenness, (b) to generate edge data for specifying a first area that corresponds to an edge of a convex portion and a second area that does not correspond to the edge of the convex potion in the unevenness, based on the first shape data, and (c) to generate, based on the edge data, data to form the first area and not the second area on a recording medium.