In some examples, the disclosure describes a device that includes a first imaging device coupled to a first side of an expandable display device, a second imaging device coupled to a second side of the expandable display device, an adjustment device to alter a size of the expandable display device to alter a distance between the first imaging device and the second imaging device, and a processor to: determine the distance between the first imaging device and the second imaging device based on a position of the adjustment device, capture first image data from the first imaging device and second image data from the second imaging device at the position of the adjustment device, and generate an image utilizing the first image data, the second image data, and the distance.

An imaging apparatus comprises an image pickup unit, a cutout image generation unit for cutting out a specified area in a pickup image taken by the image pickup unit to generate a cutout image enlarged at a specified magnification, an image display unit for displaying one or both of the pickup image taken by the image pickup unit and the cutout image generated by the cutout image generation unit, a display image control unit, for controlling a method of displaying an image the image display unit displays, a manual focus operation unit for the user to control through manual operation the focus position of the image pickup unit, and a manual zoom operation unit for the user to control the zoom magnification of the image pickup unit.

An imaging apparatus comprises an image pickup unit, a cutout image generation unit for cutting out a specified area in a pickup image taken by the image pickup unit to generate a cutout image enlarged at a specified magnification, an image display unit for displaying one or both of the pickup image taken by the image pickup unit and the cutout image generated by the cutout image generation unit, a display image control unit, for controlling a method of displaying an image the image display unit displays, a manual focus operation unit for the user to control through manual operation the focus position of the image pickup unit, and a manual zoom operation unit for the user to control the zoom magnification of the image pickup unit.

Methods, apparatus and systems for recognizing sign language movements using multiple input and output modalities. One example method includes capturing a movement associated with the sign language using a set of visual sensing devices, the set of visual sensing devices comprising multiple apertures oriented with respect to the subject to receive optical signals corresponding to the movement from multiple angles, generating digital information corresponding to the movement based on the optical signals from the multiple angles, collecting depth information corresponding to the movement in one or more planes perpendicular to an image plane captured by the set of visual sensing devices, producing a reduced set of digital information by removing at least some of the digital information based on the depth information, generating a composite digital representation by aligning at least a portion of the reduced set of digital information, and recognizing the movement based on the composite digital representation.

[Problem] An aspect of the present disclosure provides a medical image processing system that facilitates the recognition of the position of a 3D model image in a medical image.

[Solution] A medical image processing system includes: an acquisition unit that acquires a real-time 3D surgical image of an operation site stereoscopically viewable by a surgeon and a 3D model image that is a stereoscopic CG image associated with the 3D surgical image; and a superimposition unit that performs enhancement such that the location of the 3D model image at predetermined spatial positions is enhanced with respect to the 3D surgical image or the 3D model image at the start of superimposition of the 3D model image at the predetermined spatial positions when the 3D surgical image is stereoscopically viewed on the basis of information set for the 3D model image.

Provided is an imaging device for acquiring three-dimensional information of a workpiece surface and a two-dimensional image. An imaging device comprises a visual sensor for acquiring a two-dimensional image after acquiring three-dimensional information of a workpiece surface. A position detection device is attached to the conveyor drive motor of a conveyor that conveys a workpiece. An image processing part calculates the amount of movement of the workpiece from when the three-dimensional information is acquired to when the two-dimensional image is captured on the basis of an output of the position detection device. The image processing part moves the three-dimensional information relative to the two-dimensional image in such a manner as to correspond to the amount of movement of the workpiece in a predetermined coordinate system.

Provided is an imaging device for acquiring three-dimensional information of a workpiece surface and a two-dimensional image. An imaging device comprises a visual sensor for acquiring a two-dimensional image after acquiring three-dimensional information of a workpiece surface. A position detection device is attached to the conveyor drive motor of a conveyor that conveys a workpiece. An image processing part calculates the amount of movement of the workpiece from when the three-dimensional information is acquired to when the two-dimensional image is captured on the basis of an output of the position detection device. The image processing part moves the three-dimensional information relative to the two-dimensional image in such a manner as to correspond to the amount of movement of the workpiece in a predetermined coordinate system.

A dual-camera image capture system may include a first light source, disposed above a target area, a first mobile unit, configured to rotate around the target area, and a second mobile unit, operatively coupled to the first mobile unit, configured to move vertically along the first mobile unit. The dual-camera image capture system may further include a second light source, operatively coupled to the second mobile unit and a dual-camera unit, operatively coupled to the second mobile unit. The dual-camera image capture system may include a first camera configured to capture structural data and a second camera configured to capture color data. The first mobile unit and the second mobile unit may be configured to move the first camera and the second camera to face the target area in a variety of positions around the target area.

A dual-camera image capture system may include a first light source, disposed above a target area, a first mobile unit, configured to rotate around the target area, and a second mobile unit, operatively coupled to the first mobile unit, configured to move vertically along the first mobile unit. The dual-camera image capture system may further include a second light source, operatively coupled to the second mobile unit and a dual-camera unit, operatively coupled to the second mobile unit. The dual-camera image capture system may include a first camera configured to capture structural data and a second camera configured to capture color data. The first mobile unit and the second mobile unit may be configured to move the first camera and the second camera to face the target area in a variety of positions around the target area.

A stereo pair camera system for depth estimation, including: a first camera disposed in a first position along a longitudinal axis, a lateral axis, and a vertical axis and having a first field of view; and a second camera disposed in a second position along the longitudinal axis, the lateral axis, and the vertical axis and having a second field of view; wherein the first camera is a of a first type and the second camera is of a second type that is different from the first type; and wherein the first field of view overlaps with the second field of view. Optionally, the first position is spaced apart from the second position along one or more of the longitudinal axis and the vertical axis. The depth estimation is used by one or more of a driver assist system and an autonomous driving system of a vehicle.