Abstract: The invention relates to an image sensor comprising: •an optical system (2a) for receiving an optical signal; •a Bayer matrix (4) located on the image focal plane of the optical system (2a), the Bayer matrix (1) comprising: a reference optical filter (B1) configured to eliminate or attenuate, in the received optical signal, a first band of wavelengths and to allow through, in the received optical signal, a second band length of wavelengths, and also eight optical filters adjacent to the reference optical filter (B1); •a phase mask (2c, 22, 28) arranged on a pupil (2b) of the optical system (2a) and configured to selectively project at least 98% of the energy of the optical signal carried in the first band of wavelengths and 98% of the energy of the optical signal carried in the second band of wavelengths on the reference optical filter (B1) and on at least one adjacent optical filter, which is configured to allow through, in the received optical signal, the first band of wavelengths.

Abstract: An apparatus to perform functions on media content items comprises a camera, a communication interface, and a selector input device. The selector input device is communicatively coupled to the camera and the communication interface and has a function setting. In response to detecting activation of the selector input device, the camera captures a media content item and the communication interface transmits the media content item to the server for function processing. The selector input device can be a rotary wheel. To select the function setting from the plurality of settings, the user can rotate the rotary wheel to a function setting and press the rotary wheel. Other embodiments are described herein.

Abstract: A technique facilitates selecting and designating an arbitrary one of a plurality of aerial lines. The aerial line extraction system, includes: an area-of-interest cropping unit that crops a region where an aerial line is assumed to exist as an area of interest by setting a support of the aerial line as a reference from a three-dimensional point cloud data; an element segmenting unit that segments the area of interest into a plurality of subdivided areas, obtains a histogram by counting three-dimensional point clouds existing in each of the subdivided areas, and obtains a segmentation plane of the area of interest on the basis of the histogram; and an element display unit that segments the area of interest into a plurality of segmented areas by the segmentation plane and displays the three-dimensional point clouds included in each of the segmented areas in a distinguishable manner.

Abstract: Image analysis using visual geometry as an anchor for optical character recognition can be configured to receive an image acquired by a camera. The image is analyzed to detect a location within the image having a specified geometry. The specified geometry can be a predefined, visual geometry. The image is divided to create an image segment, where the image segment is based on the location of the specified geometry within the image. The image segment is analyzed to detect one or more characters within the image segment. The one or more characters in the image segment are decoded. A character string is generated based on decoding the one or more characters in the image segment.

Abstract: A method for processing an image, which is performed by an image processing apparatus, is provided. The method includes acquiring a first image including an object and a second image including an object identical to the object in the first image under the same condition, acquiring three-dimensional direction information of a specific part of the object in the first image, and providing a three-dimensionally processed image by three-dimensionally rotating the object in the second image by an angle that corresponds to the acquired three-dimensional direction information of the specific part of the object in the first image.

Abstract: A system may include one or more processors configured to receive a plurality of images representing an environment. The images may include image data generated by an image capture device. The processors may also be configured to transmit the image data to an image segmentation network configured to segment the images. The processors may also be configured to receive sensor data associated with the environment including sensor data generated by a sensor of a type different than an image capture device. The processors may be configured to associate the sensor data with segmented images to create a training dataset. The processors may be configured to transmit the training dataset to a machine learning network configured to run a sensor data segmentation model, and train the sensor data segmentation model using the training dataset, such that the sensor data segmentation model is configured to segment sensor data.

Abstract: A method, a device, and a non-transitory computer readable medium for item recommendation based on visual elements. The method includes: determining, by one or more processors, visual elements from an item image of an item; generating, by the one or more processors, an element descriptor for the item based on at least a part of the visual elements; and calculating, by the one or more processors, a compatibility value between the element descriptor and one or more other element descriptors for one or more other items.

Abstract: According to a form of the present disclosure, character strings are obtained from a document image by performing an optical character recognition process on the document image, whether each of the obtained character strings is an item name or an item value is evaluated, character strings determined to be the item names and continuously present in a horizontal or vertical direction are grouped as one item name group, a search region is set by combining the one item name group and a region where one or more character strings each determined to be the item value and adjacent to the item name group are continuously present, and the item value is extracted based on the relationship between the item name and the item value for each of the search regions.

Abstract: A method for reconstructing a downsampled depth map includes receiving, at an electronic device, image data to be presented on a display of the electronic device at a first resolution, wherein the image data includes a color image and the downsampled depth map associated with the color image. The method further includes generating a high resolution depth map by calculating, for each point making up the first resolution, a depth value based on a normalized pose difference across a neighborhood of points for the point, a normalized color texture difference across the neighborhood of points for the point, and a normalized spatial difference across the neighborhood of points. Still further, the method includes outputting, on the display, a reprojected image at the first resolution based on the color image and the high resolution depth map. The downsampled depth map is at a resolution less than the first resolution.

Abstract: An authentication apparatus includes a scanning apparatus and an alignment apparatus. The scanning apparatus includes a sensor configured to capture identifying information of the user in a field of view. The alignment apparatus includes a housing forming an interior region comprising a viewing aperture positioned proximate to the scanning apparatus. The viewing aperture defines an alignment region intersecting the field of view in an exterior region. A first indicator is positioned in the interior region aligned with the alignment region along an alignment axis of the viewing aperture. The first indicator is configured to emit a first light into the alignment region through the aperture.

Abstract: A skin measurement apparatus for emitting a plurality of lights for photographing an image of the skin. A skin measurement apparatus includes an ultraviolet ray emitting device; a white light emitting device; a focus lens enabling incident light, which is an ultraviolet ray emitted by means of the ultraviolet ray emitting device and a white light emitted by means of the white light emitting device reflected off the skin and transmitted, to pass therethrough; and an emission control device for controlling the ultraviolet ray emitting device and the white light emitting device such that the ultraviolet ray and the white light can be emitted together. The emission control device adjusts the strength of the white light on the basis of white light control information from the outside.

Abstract: A device for providing 3D image registration includes: a collection unit acquiring 3D depth data of a part and an image of a registration body from a depth recognition camera and acquiring three-dimensional coordinates of a positioning tool on the registration body from a positioning device; a first registration unit performing surface registration of a pre-stored 3D medical image of patient and the 3D depth data; a second registration unit extracting camera reference three-dimensional coordinates of a landmark attached to the registration body from the image of the registration body and converting pre-stored relative position information of the landmark with reference to the three-dimensional coordinates of the positioning tool, to perform registration of camera reference three-dimensional coordinates of the landmark and the converted position information thereof; and a third registration unit performing final registration by using results of registration performed by the first registration unit and the seco

Abstract: A computer-implemented method for learning an autoencoder notably is provided. The method includes obtaining a dataset of images. Each image includes a respective object representation. The method also includes learning the autoencoder based on the dataset. The learning includes minimization of a reconstruction loss. The reconstruction loss includes a term that penalizes a distance for each respective image. The penalized distance is between the result of applying the autoencoder to the respective image and the set of results of applying at least part of a group of transformations to the object representation of the respective image. Such a method provides an improved solution to learn an autoencoder.

Abstract: The present disclosure relates to an image processing method and apparatus, an electronic device, and a storage medium. The method includes: acquiring at least two target images; determining an attention map of at least one target in each of the at least two target images according to a result of detecting target of each target image, where the attention map indicates the position of one target in a target image; and determining, based on each target image and the attention map of the at least one target in the each target image, a result of association that indicates whether a correspondence exists between at least some of targets in different target images.

Abstract: Provided is an information acquisition system including: an image capture apparatus including a camera that captures a target object to generate an image; and a control apparatus including a control unit that controls the image capture apparatus so that a plurality of images in accordance with a plurality of different environment conditions are generated and an information acquisition unit that acquires target object information input to a discriminator that identifies an object, in which the target object information includes the plurality of images or a plurality of feature amounts obtained from the plurality of images.

Abstract: An augmented reality viewing system that aids a patron in visualizing a prepared food dish. The restaurant prepares ahead of time three-dimensional images of available food dishes. The patron, using their portable electronic device, images the table at which they plan on having their meal. Any selected dish can then be superimposed onto the image of the actual table so the patron can view, through augmented reality, what they can anticipate when the dish is delivered to the table.

Abstract: In some embodiments, the method includes a creating a plurality of session records for a subject, generating a subject progression model based on the plurality of session records, and comparing the subject progression model to a health progression model. The method further includes determining, based on the comparing the subject progression model to the health progression model, at least one progression deviation and generating a notification including an indication of the at least one progression deviation. In some embodiments, the plurality of session records include both objective data and subjective data. In some embodiments, the objective data includes one or more of body motion data captured with an RGB-D camera or RGB camera and voice data captured with a microphone. In some embodiments, the subjective data includes one or more of self-reported data from the subject and physician-reported data associated with the subject.

Abstract: Aspects of the present disclosure involve a system and a method for performing operations comprising: accessing a source image depicting a target structure; accessing one or more target images depicting at least a portion of the target structure; computing correspondence between a first set of pixels in the source image of a first portion of the target structure and a second set of pixels in the one or more target images of the first portion of the target structure, the correspondence being computed as a function of camera parameters that vary between the source image and the one or more target images; and generating a three-dimensional (3D) model of the target structure based on the correspondence between the first set of pixels in the source image and the second set of pixels in the one or more target images based on a joint optimization of target structure and camera parameters.

Abstract: An information processing apparatus for supporting a user's task for identifying a defect in an object based on a target image that is a photographed image of the object, includes: a selecting unit that selects, based on an user's input, one from one or more reference images to which is referred by the user for identifying a defect in the object; a display unit that comparably displays the target image and the selected reference image on a certain display device; a specifying unit that receives an user's operation for specifying a defect in the target image displayed by the display unit; and a generating unit that generates a new reference image based on a partial area, of the target image, including the specified defect. A new reference image generated by the generating unit is added to the one or more reference images selectable by the selecting unit.

Abstract: The disclosure relates to a method and to an image processing facility configured to carry out the method for the segmentation of image data of a target object. In the method, a first segmentation is generated by a trained algorithm. Furthermore, a statistical shape and appearance model is provided, which is trained on corresponding target objects. An interference region is further determined, in which the image data is impaired by an image artifact. A final segmentation of the image data is then generated by adjusting the shape and appearance model to the respective target object outside the interference region and using the first segmentation in the interference region.