A method for capturing digital data for fabricating a dental splint involves displaying a GUI on a display of a smartphone that provides an alignment feature for a user to align a camera of the smartphone to a first position that captures teeth of a person, receiving digital video of the teeth, overlaying the alignment feature on the digital video of the teeth on the display, moving the alignment feature on the screen in a manner that causes the user to move the smartphone relative to the teeth to maintain alignment with the alignment feature, capturing digital image information of the teeth as the alignment feature is moved, the captured digital image information including depth information, and transmitting the captured digital image information, including the depth information, from the smartphone for use in fabricating a dental splint.

An image-capturing control apparatus controls an image capturing unit, which is configured to capture an image of a reference object serving as an evaluation reference, to obtain color information to be used for appearance evaluation of a target object. The image-capturing control apparatus includes a first obtaining unit configured to obtain data on a face orientation of an evaluation area on the target object and a second obtaining unit configured to, based on the data on the face orientation, control the image capturing unit such that the image capturing unit captures images of the reference object until the difference between the face orientation of the evaluation area and a face orientation of the reference object becomes smaller than a threshold value and obtain color information on the reference object for a case where the difference is smaller than the threshold value.

An image recording apparatus includes a recording control unit that records a captured image acquired by the camera image acquisition unit in an image file for each of front cameras, and the degree-of-importance determination unit that determines a degree of importance of each of the plurality of image files. The recording control unit continues to record the captured image in a first image file, and executes close processing on the first image file at a timing based on a recordable duration time during which the captured image is continuously recorded in the first image file as an image file having the highest degree of importance when an electric power supply from a main power unit is cut off and the electric power supply source is switched by an electric power supply source switching unit.

A hybrid computer/human method for generating, validating and using a ground truth map (GTM) provides for enforcement of data capture and transmission compliance of real and near real time video. Computer-implemented processes are used to identify and classify as allowed or disallowed objects in a local scene based on attributes of a video session. A human interface is available to validate either the object identification or classification. The GTM is then used, preferably in conjunction with motion sense, to enforce data capture and transmission compliance of real and near real time video within the local scene.

A predetermined image correction process is automatically performed on an image, and information for identifying that the predetermined image correction process has been performed is displayed in a state that an image having undergone the predetermined image correction process is being displayed.

Methods, systems, and apparatus for controlling smart devices are described. In one aspect a method includes capturing, by a camera on a user device, a plurality of successive images for display in an application environment of an application executing on the user device, performing an object recognition process on the images, the object recognition process including determining that a plurality of images, each depicting a particular object, are required to perform object recognition on the particular object, and in response to the determination, generating a user interface element that indicates a camera operation to be performed, the camera option capturing two or more images, determining that a user, in response to the user interface element, has caused the indicated camera operation to be performed to capture the two or more images, and in response, determining whether a particular object is positively identified from the plurality of images.

A user device for imaging a scene includes a first plurality of optical sensors coupled to a substrate for collecting an image of a scene and a second plurality of optical sensors coupled to the substrate for collecting spectral information from the image. A plurality of sets of interference filters are associated with the second plurality of optical sensors, where each interference filter of a set of interference filters is configured to pass light in one of a plurality of wavelength ranges to one or more optical sensors of the second plurality of optical sensors and each optical sensor of the plurality of optical sensors is associated with a spatial area of the image. A processor is adapted to receive an output from the first plurality of optical sensors and the second plurality of optical sensors and determine, based on the spectral information, a target area within the scene. The processor is further adapted to retrieve focus data for the scene, determine a focus distance for the target area and output user-perceptible information to an output display.

This application discloses an image content removal method, and relates to the field of computer vision. The method includes: enabling a camera application; displaying a photographing preview interface of the camera application; obtaining a first preview picture and a first reference frame picture that are captured by a camera; determining a first object in the first preview picture as a to-be-removed object; and determining to-be-filled content in the first preview picture based on the first reference frame picture, where the to-be-filled content is image content that is of a second object and that is shielded by the first object in the first preview picture. The terminal generates a first restored picture based on the to-be-filled content and the first preview picture. In this way, image content that a user does not want in a picture or a video shot by the user can be removed.

Methods, systems, and storage media for dynamically identifying visual media capture formats based upon at least one of capture device, resultant visual medium, and/or application-supported conditions are disclosed. Exemplary implementations may: query a visual media capture device for at least a portion of the device-supported visual media capture formats; receive information regarding one or more capture device, resultant visual medium, and/or application-supported conditions relevant to capture of a resultant visual medium; execute a plurality of rules to dynamically identify one or more device-supported visual media capture formats of the device-supported visual media capture formats that is configured to determine the resultant visual medium; and cause the visual media capture device to initiate capture of the resultant visual medium using one of the identified device-supported visual media capture formats.

An imaging apparatus acquires an image capturing instruction, performs an image capturing processing in a case where a position of an eye of a user is a first condition upon acquiring the image capturing instruction, and requests a second imaging apparatus, which is different from the imaging apparatus, to perform the image capturing processing in a case where the position of the eye of the user is a second condition upon acquiring the image capturing instruction.