A method for estimating the image depth map of a scene, includes the following steps: providing (E1) an image, the focus of which depends on the depth and wavelength of the considered object points of the scene, using a longitudinal chromatic optical system; determining (E2) a set of spectral images from the image provided by the longitudinal chromatic optical system; deconvoluting (E3) the spectral images to provide estimated spectral images with field depth extension; and analyzing (E4) a cost criterion depending on the estimated spectral images with field depth extension to provide an estimated depth map.

Provided is an image processing apparatus that includes: a three-dimensional model storage unit configured to store a three-dimensional model data, positions of a plurality of devices including a camera disposed in a three-dimensional region as positions in the three-dimensional model, and a plurality of device icons; an acquiring unit configured to acquire a shot image taken at the camera and a shooting direction when shooting; a composing unit configured to determine a view point with respect to the three-dimensional model of the camera position disposed in the three-dimension region, generate a three-dimensional model by disposing the device icons according to the determined view point and the shooting direction, generate a two-dimensional projection image, and generate a composite image by composing the shot image in a predetermined region on the generated two-dimensional projection image; and an output unit configured to output the composite image.

A stereoscopic endoscope system includes a stereoscopic endoscope and an identification information combining section. The stereoscopic endoscope is provided with an R image pickup section and an R output section which are provided on a right side of an endoscope body, an L image pickup section and an L output section which are provided on a left side of the endoscope body, and an R memory and an L memory which store correction information for either right or left and identification information. The right and left image pickup sections and the right and left memories are correctly or incorrectly combined and are connected to the right and left output sections. The identification information combining section performs image combination of an image and identification information inputted from the R output section or an image and identification information inputted from the L output section and outputs a combined image.

An imaging unit includes a plurality of imaging devices configured to capture images of an object; a circuit substrate configured to generate image data based on the images captured by the imaging devices; a chassis that holds the imaging devices; and a heat transfer member including a contacting portion configured to contact an installed member in a case where the imaging unit is installed on the installed member. The heat transfer member contacts the chassis or the circuit substrate, and heat conductivity of the heat transfer member is greater than the heat conductivity of the chassis.

A computer-implemented method may be used to generate a 3D interactive presentation, referred to as a rotograph, illustrating a main object from a rotating viewpoint. A plurality of two-dimensional images may be received. A three-dimensional scene may be generated, with a virtual camera and an axis of rotation. Each of the two-dimensional images may be positioned in the three dimensional scene such that the plurality of two-dimensional images are oriented at different orientations about the axis of rotation. A motion pathway may be defined within the three-dimensional scene, by which the virtual camera is rotatable about the axis of rotation to view the plurality of two-dimensional images in sequence. A plurality of rotograph images may be captured with the virtual camera during motion of the virtual camera along the motion pathway to generate the rotograph, which may be displayed on a display screen.

Methods and systems obtain data representative of a scene across spectral bands using a compressive-sensing-based hyperspectral imaging system comprising optical elements. These methods and systems sample two modes of a three-dimensional tensor corresponding to a hyperspectral representation of the scene using sampling matrices, one for each of the two modes, to generate a modified three-dimensional tensor. After sampling the two modes, such methods and systems sample a third mode of the modified three-dimensional tensor using a third sampling matrix to generate a further modified three-dimensional tensor. Then, the methods and systems reconstruct hyperspectral data from the further modified three-dimensional tensor using the sampling matrices and the third sampling matrix.

An apparatus is described that includes a camera system having a time-of-flight illuminator. The time of flight illuminator has a light source and one or more tiltable mirror elements. The one or more tiltable mirror elements are to direct the illuminator's light to only a region within the illuminator's field of view.

A depth sensor comprises at least one imaging sensor, at least one multifocal lens, and a focus analyzer. The depth sensor analyzes the in-focus status of electromagnetic radiation, directed by the multifocal lens(es) onto sensing zone(s) of the imaging sensor(s) from spatial zone(s) in a measurement field, to detect the presence of object(s) in the spatial zone(s).

The present invention provides a device and a method for image reconstruction at different X-ray energies that make it possible to achieve image reconstruction with higher accuracy. A device for image reconstruction at different X-ray energies includes: an X-ray source 1 that irradiates a specimen to be imaged 2 with X-rays; an energy-dispersive detector 4 that detects a characteristic X-ray emitted from the specimen to be imaged 2; a signal processing means that quantifies the peak of the characteristic X-ray detected by the detector 4; and an image reconstruction means that reconstructs an image on the basis of a signal from the signal processing means.

Embodiments of the present application disclose light field collection control methods and apparatuses and light field collection devices, wherein one light field collection control method comprises: acquiring an aperture parameter of a main lens of a light field camera;

determining, according to the main lens aperture parameter, in an image sensor of the light field camera, a local part of an imaging region corresponding to at least one sub-lens in a sub-lens array of the light field camera as a first imaging region; adjusting pixel density distribution of the image sensor, to cause pixel density of the first imaging region after adjustment to be distinguished from that of other parts of the imaging region; and performing light field collection on a scene via the adjusted light field camera. The embodiments of the present application may improve utilization of image sensor pixels in a process of performing light field collection on a scene based on a light field camera, and improve imaging quality of light field images.