Abstract: Systems and methods for identifying a presence of a completed document are disclosed. The system may receive an image file from a client device associated with a first document, identify one or more image regions within the image file corresponding to a presence of one or more extractable data entries, selectively extract the one or more extractable data entries, and determine whether the one or more extractable data entries match one or more stored data entries. When the one or more extractable data entries match, the system may determine the status of the first document as completed. When the one or more extractable data entries do not match, the system may proactively replace one or more inconsistent extractable data entries with corresponding stored data entries to form a corrected first document, and generate a request for a client to verify the corrected first document.

Abstract: A digital printing process for printing an image (I) including a white area (W) and/or a coloured area (C) on a packaging material includes selecting a packaging material with a substantially white side, and preparing print data to be sent to a printing means taking into account that the side of the packaging material is substantially white. The print data represents one or more first image areas (A1) representing the image (I), and one or more second image areas (A2) representing a packaging look (L), to be printed on the substantially white side of the packaging material, outside the one or more first image areas (A1) where the image (I) is to be located. The method further includes printing by the printing means on the substantially white side of the packaging material using the print data.

Abstract: Character recognition processing suitable to a handwritten character area and a printed character area among character areas in a scanned image of a document is performed. Next, character recognition results for the handwritten character area and character recognition results for the printed character area are integrated and a likelihood indicating a probability of being an extraction target is calculated for a candidate character string that is an extraction candidate among the integrated character recognition results and a character string that is the item value is determined. Then, at the time of the determination, different evaluation indications are used in a case where a character originating from the handwritten character area is included in characters constituting the candidate character string and in a case where such a character is not included.

Abstract: An information processing apparatus includes a processor configured to: acquire an image corresponding to a key character string from a target image in response to the key character string that serves as a character string specified beforehand as a key and is acquired from results of character recognition performed on the target image including character strings; extract, by using results of acquiring the image corresponding to the key character string, from the results of the character recognition a value character string that serves as a character string indicating a value corresponding to the key character string; and output the key character string and the value character string corresponding to the key character string.

Abstract: Paired images of substantially the same scene are captured with the same freestanding sensor. The paired images include reflected light illuminated with controlled polarization states that are different between the paired images. Information from the images is applied to a convolutional neural network (CNN) configured to derive a spatially varying bi-directional reflectance distribution function (SVBRDF) for objects in the paired images. Alternatively, the sensor is fixed and oriented to capture images of an object of interest in the scene while a light source traverses a path that intersects the sensor's field of view. Information from the paired images of the scene and from the images captured of the object of interest when the light source traverses the field of view are applied to a CNN to derive a SVBDRF for the object of interest. The image information and the SVBRDF are used to render a representation with artificial lighting conditions.

Abstract: An apparatus for rendering a visual scene includes: a content visualization stage configured: to obtain as a first input a set of images of one or more objects, and to obtain as a second input a geometry representation of the one or more objects in a 3D-space; to obtain a final image representing the visual scene from a perspective of a target position, the visual scene including the one or more objects; to consider at least one of a lighting effect and/or an object interaction effect between the one or more objects and one or more further objects contained in the visual scene; the content visualization stage is configured to obtain a target view image from the set of images irrespective of the geometry representation. The apparatus is configured to map the target view image on the geometry representation under consideration of the target position.

Abstract: A virtual viewpoint foreground image generating unit generates a virtual viewpoint foreground image, which is an image of a foreground object seen from a virtual viewpoint without a shadow, based on received multi-viewpoint images and a received virtual viewpoint parameter. A virtual viewpoint background image generating unit generates a virtual viewpoint background image, which is an image of a background object seen from the virtual viewpoint, based on the received multi-viewpoint images and virtual viewpoint parameter. A shadow mask image generating unit generates shadow mask images from the received multi-viewpoint images. A shadow-added virtual viewpoint background image generating unit renders a shadow in the virtual viewpoint background image based on the received virtual viewpoint background image, shadow mask images, and virtual viewpoint parameter.

Abstract: A system can merge text bounding boxes such as Optical Character Recognition (OCR) bounding boxes. A document can comprise a plurality of the text bounding boxes. Distance thresholds between text bounding boxes can be utilized for comparison against a distance threshold. Distance thresholds can vary depending on context information associated with the document. In response to a determination that text bounding boxes satisfy the distance threshold, the text bounding boxes can be assigned to a bounding box group.

Abstract: An MFP is configured to perform an upper limit setting process of setting an upper limit value of scan data amount storable in a RAM, a scanning process of controlling a scanning device to generate scan data of one document medium and store the scan data in the RAM, a determining process of determining, after performing the scanning process, whether an amount of the scan data accumulated in the storage exceeds the upper limit value, when determining that the amount of the scan data exceeds the upper limit value, a transmitting process of inhibiting the scanning process and transmitting the scan data accumulated in the RAM to a server through a communication device, and a releasing process of deleting the scan data accumulated in the RAM and releasing inhibition of the scanning process after performing the transmitting process.

Abstract: An apparatus and corresponding method for frontal face synthesis. The apparatus comprises a decoder that synthesizes a high-resolution (HR) frontal-view (FV) image of a face from received features of a low-resolution (LR) non-frontal-view (NFV) image of the face. The HR FV image is of a higher resolution relative to a lower resolution of the LR NFV image. The decoder includes a main path and an auxiliary path. The auxiliary path produces auxiliary-path features from the received features and feeds the auxiliary-path features produced into the main path for synthesizing the HR FV image. The auxiliary-path features represent a HR NFV image of the face at the higher resolution. As such, an HR identity-preserved frontal face can be synthesized from one or many LR faces with various poses and may be used in types of commercial applications, such as video surveillance.

Abstract: A method of controlling an information processing apparatus includes displaying an edit screen including an obtained image and a print range frame based on obtained print setting information, accepting an edit operation of arrangement of the image in the edit screen, generating image data based on an edited image, and transmitting the generated image data and the print setting information to the image forming apparatus as a print job. Where the image has been edited such that there is a region where the image is not arranged in the print range frame, combining processing in which a predetermined image is added in the region is performed and whereby image data including the image and predetermined image is generated, and where the image has been edited such that there is no region where the image is not arranged in the print range frame, the combining processing is not performed.

Abstract: A method for computer animation includes receiving, by a processor executing a multi-platform deformation engine system in association with a third-party game engine system, an input file that includes an asset geometry, where the asset geometry defines an asset mesh structure, where the asset geometry may exclude an internal support frame, and where logic for custom deformation steps may be included, altogether in a fashion portable and made to produce consistent results across multiple different software and/or hardware platform environments and/or across real-time and/or offline scenarios. The method also includes applying at least one deformer to the asset mesh structure, where the at least one deformer includes a plurality of user-selectable deformer channels, and where each deformer channel is associated with at least a portion of the asset mesh structure and configured to adjust a visual appearance of the associated portion of the asset mesh structure.

Abstract: The present disclosure provides a light field imaging system by projecting near-infrared spot in remote sensing based on a multifocal microlens array. The light field imaging system includes a near-infrared spot projection apparatus (100) and a light field imaging component (200), where the near-infrared spot projection apparatus (100) is configured to scatter near-infrared spots on a to-be-observed object to add texture information to a target image, and the light field imaging component (200) is configured to image a target scene light ray with additional texture information. The present disclosure can extend a target depth-of-field (DOF) detection range, and particularly, reconstruct a surface of a weak-texture object.

Abstract: Systems and methods for performing spatial line grouping on digital ink stokes. The system includes an electronic processor configured to access a set of hypothetical lines in an electronic document and determine a set of hypothetical line pairings. The electronic processor is also configured to determine, via a gradient boosting tree model, a merge confidence score for each hypothetical line pairing and compare a first merge confidence score with a merge threshold. The first merge confidence score is associated with a first hypothetical line and a first neighboring hypothetical line. The electronic processor is also configured to, in response to the first merge confidence score satisfying the merge threshold, merge the first hypothetical line and the first neighboring hypothetical line to form a first line grouping. The electronic processor is also configured to perform a digital ink stroke analysis on the electronic document based on the first line grouping.

Abstract: Provided herein are methods and systems for generating a model, mapping a monitored space, and used for augmenting the location and paths of devices path in the monitored space, using orientation and obstruction analysis. The disclosure comprises moving a device having a camera and one or more wireless transceiver through the monitored space, exchanging signal transmissions with one or more wireless transceivers present in the monitored space, and taking images, video sequences, or other optical readings. Either the mobile wireless device, the wireless transceivers, or both may have a non-isotropic transmission and reception characteristics, due to antenna structure, occlusions, other objects with radiation impact and/or the like. The images, videos, and/or optical readings, in addition to the received signal characteristics are stored and processed to generate the model, which one or more verification units, configured to verify the location objects or devices in the monitored space, may use.

Abstract: A system and method for controlling the animation and movement of in-game objects. In some embodiments, the system includes one or more data-driven animation building blocks that can be used to define any character movements. In some embodiments, the data-driven animation blocks are conditioned by how their data is described separately from any explicit code in the core game engine. These building blocks can accept certain inputs from the core code system (e.g., movement direction, desired velocity of movement, and so on). But the game itself is agnostic as to why particular building blocks are used and what animation data (e.g., single animation, parametric blend, defined by user, and so on) the blocks may be associated with.

Abstract: Various implementations disclosed herein include devices, systems, and methods that changes a surface attribute of a first object to include a surface attribute of a second object at an intersection of the two objects. For example, changing a surface attribute may include identifying an intersection between a displayed first object and a displayed second object in a graphical environment, determining whether the graphical environment is operating in a first mode or a different second mode in accordance with a determination that the graphical environment is operating in the first mode, responsive to the intersection between the displayed first object and the displayed second object identifying a portion of the first object where in the identified portion is intersecting the second object and changing a surface attribute of the portion of the first object to include a surface attribute of the second object at the intersection including the surface attribute.

Abstract: Methods and systems are disclosed for printing vibrant grey color(s) on plastic cards. The following features, which can be used individually or in any combination thereof, can be implemented to achieve the vibrant grey color(s): 1) use of CMYK pigment inks to achieve CMYK printing; 2) a pixel extraction process and/or a print trapping process; 3) two separate print commands including a CMY (or CMYK)+blending print command and a K+blending print command; and 4) proper card set-up.

Abstract: There is disclosed a method of and a system for predicting text in an image using one or more constraints. The image is input to a machine learning algorithm (MLA). The MLA outputs a probability distribution. The probability distribution comprises a predicted probability for each of a plurality of pairs, where each pair comprises a class and a next state of the MLA. The states of the probability distribution are added to a set of states to be searched. States that are end states or that fail to satisfy at least one of the constraints are removed from the set of states to be searched. States of the set of states to be searched are input to the MLA. The search is repeated with new states output by the MLA. End states output by the MLA are output as output states that each comprise a sequence of characters.

Abstract: A real-time neural radiance caching technique for path-traced global illumination is implemented using a neural network for caching scattered radiance components of global illumination. The neural (network) radiance cache handles fully dynamic scenes, and makes no assumptions about the camera, lighting, geometry, and materials. In contrast with conventional caching, the data-driven approach sidesteps many difficulties of caching algorithms, such as locating, interpolating, and updating cache points. The neural radiance cache is trained via online learning during rendering. Advantages of the neural radiance cache are noise reduction and real-time performance. Importantly, the runtime overhead and memory footprint of the neural radiance cache are stable and independent of scene complexity.