Aspects of the present disclosure are directed to a method for setting the focus of a film camera. In one embodiment, for example, the method includes the steps of: obtaining distance information from a measuring device arranged in a region of the film camera, the measuring device producing a real image and a depth image; setting the focus of the film camera using the obtained distance information; producing a real image which is augmented with depth information from the measuring device; and calculating the real image into the image of the film camera by means of an image transformation.

A depth camera assembly (DCA) determines depth information. The DCA projects a dynamic structured light pattern into a local area and captures images including a portion of the dynamic structured light pattern. The DCA determines regions of interest in which it may be beneficial to increase or decrease an amount of texture added to the region of interest using the dynamic structured light pattern. For example, the DCA may identify the regions of interest based on contrast values calculated using a contrast algorithm, or based on the parameters received from a mapping server including a virtual model of the local area. The DCA may selectively increase or decrease an amount of texture added by the dynamic structured light pattern in portions of the local area. By selectively controlling portions of the dynamic structured light pattern, the DCA may decrease power consumption and/or increase the accuracy of depth sensing measurements.

A depth camera assembly (DCA) determines depth information. The DCA projects a dynamic structured light pattern into a local area and captures images including a portion of the dynamic structured light pattern. The DCA determines regions of interest in which it may be beneficial to increase or decrease an amount of texture added to the region of interest using the dynamic structured light pattern. For example, the DCA may identify the regions of interest based on contrast values calculated using a contrast algorithm, or based on the parameters received from a mapping server including a virtual model of the local area. The DCA may selectively increase or decrease an amount of texture added by the dynamic structured light pattern in portions of the local area. By selectively controlling portions of the dynamic structured light pattern, the DCA may decrease power consumption and/or increase the accuracy of depth sensing measurements.

An apparatus for capturing digital stereoscopic images of a scene. The apparatus comprises a first pair of separated camera lens oriented such that a first imaginary line between the first pair of lens is substantially parallel with a horizon line a scene, wherein digital image data is capturable through the first pair of camera lens and storable in two separate digital image data bases corresponding to a left-eye horizontal view and a right-eye horizontal view respectively. The apparatus comprises a second pair of separated camera lens oriented such that a second imaginary line between the second pair of lens is substantially non-parallel with the horizon line, wherein digital image data is capturable through the second pair of camera lens and storable in two separate digital image data bases corresponding to a left-eye off-horizontal view and a right-eye off-horizontal view respectively.

An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

The present invention relates to a remote point method. A remote pointing method according to the present invention comprises capturing images by a first and a second camera disposed being separated spatially from each other; detecting a pointing part in a first image captured by the first camera; determining a region of interest including the pointing part in a second image captured by the second camera; and extracting stereoscopic coordinates of the pointing part within the region of interest.

Provided is an a imaging device that acquires a distance image excluding influence of background light in one frame scanning period and acquires a visible image in a separate frame from a single imaging sensor, and includes an infrared light source that emits infrared light, and a solid state imaging device including a plurality of first pixels and a plurality of second pixels, which respectively include vertical overflow drains, and are arranged in a matrix on a semiconductor substrate, the plurality of first pixels converting the infrared light into signal charges, and the plurality of second pixels converting visible light into signal charges. The solid state imaging device outputs a first signal obtained from the plurality of first pixels in an irradiation period of infrared light, and a second signal obtained from the plurality of first pixels in a non-irradiation period of infrared light, in a first frame scanning period, and outputs a third signal obtained from the plurality of first pixels and a fourth signal obtained from the plurality of second pixels, in a second frame scanning period.

The present technology relates to an image processing apparatus, an image processing method, and a program that enable a strobe image using a 3D model to be generated. A strobe model in which 3D models of an object at a plurality of times generated from a plurality of viewpoint images captured from a plurality of viewpoints are disposed in a three-dimensional space is generated. When the strobe model is generated, a target object that is a target in which the 3D model is disposed in the strobe model is set according to a degree of object relevance indicating relevance with a key object serving as a reference for disposition of the 3D model in the strobe model.

A stereoscopic imaging platform includes a stereoscopic camera configured to record left and right images of a target site. A robotic arm is operatively connected to the stereoscopic camera, the robotic arm being adapted to selectively move the stereoscopic camera relative to the target. The stereoscopic camera includes a lens assembly having at least one lens and defining a working distance. The lens assembly has at least one focus motor adapted to move the at least one lens to selectively vary the working distance. A controller is adapted to selectively execute one or more automatic focusing modes for the stereoscopic camera. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. The automatic focusing modes include a target locking mode. The target locking mode is adapted to maintain a focus of the at least one stereoscopic image while the robotic arm is moving the stereoscopic camera.