The information processing device includes an image analysis unit (A4-i) and a content rendering unit. The image analysis unit (A4-i) generates spatial position/range information (D4) of a virtual space in which a spatial display performs 3D display based on a captured image of a marker displayed on the spatial display. The content rendering unit performs rendering processing of the spatial video presented in the virtual space, based on the spatial position/range information (D4) and a viewpoint position.

A wearable electronic device includes a left-eye display configured to output light of a first color corresponding to a 3D left-eye image, a right-eye display configured to output light of a second color corresponding to a 3D right-eye image, a left-eye optical waveguide configured to adjust a path of the light of the first color and output the light of the first color, a right-eye optical waveguide configured to adjust a path of the light of the second color and output the light of the second color, a left-eye display control circuit configured to supply a driving power and a control signal to the left-eye display, a right-eye display control circuit configured to supply a driving power and a control signal to the right-eye display, a communication module configured to communicate with a mobile electronic device, and a second control circuit configured to supply a driving power and a control signal to the communication module.

Provided is an image processing apparatus that: acquires a depth map that includes information that indicates a distance up to a subject in an actual space, the depth map including, for each of one or a plurality of areas in the depth map, information regarding the distance up to a subject portion that appears in the area and regarding a color component of the subject portion; and generates a composite image in which a virtual object is arranged in a scene image that represents a scene of the actual space. The image processing apparatus determines a display color of the virtual object on the basis of the distance up to the subject portion that appears in the depth map and the color component thereof.

A point cloud compression approach that exploits HEVC for compression of both the geometry and color data is described herein. Although both the geometry and color could be compressed in a lossy fashion, the point cloud compression approach is suggested for the scenario of lossless geometry and lossy color coding. Both geometry and color data are first mapped into 2D images and then compressed by HEVC. A sorting technique is used to sort the geometry data to make it as correlated as possible when it is mapped to a 2D image. For color coding, clustering is used to put similar colors in a point cloud into spatial neighbors in the mapped 2D image. This significantly avoids color leaking due to quantization errors to neighbor points in 3D. The results show that much better compression is achieved compared to the Anchor when it is configured for lossless geometry coding.

A method for generating a three-dimensional model of an object, by a scanning system including a client-side device including: an acquisition system configured to capture images; and an interaction system including a display device and a network interface includes: capturing a plurality of images of the object by the acquisition system, the images being captured from a plurality of different poses of the acquisition system; computing depth maps from the images of the objects, each of the depth maps corresponding to one of the poses of the acquisition system; combining the depth maps to generate a combined point cloud; and displaying, on the display device, the combined point cloud or a 3D mesh model generated from the combined point cloud.

An autostereoscopic display device has a particular design of display panel for use with a forming arrangement having non-slanted view forming elements (being for example a lenticular or parallax barrier array). The display panel sub-pixels incorporate a slant into their shape. The display panel is designed to enable low slant angles while still enabling efficient mapping of the 2D display panel pixels to the 3D pixels, allow for square 3D sub-pixels on rectangular grid which gives better distribution of color components with improved uniformity and improved rendering in 3D mode.

Method for adjusting a stereoscopic imaging device including for each sensor, tagging, in an image arising from the sensor, one and the same reference object, evaluating a quantity representative of a focus of the optical system associated with the sensor on the reference object, in order to adjust settings of each of the optical systems associated with a respective sensor of the stereoscopic imaging device.

A method of colorizing a 3D point cloud includes receiving the 3D point cloud, receiving a 2D color image acquired by a camera, creating a 2D intensity image of the 3D point cloud based on intrinsic and extrinsic parameters of the camera, generating a set of refined camera parameters by matching the 2D intensity image and the 2D color image, creating a depth buffer for the 3D point cloud using the set of refined camera parameters, determining a foreground depth for each respective pixel of the depth buffer, and coloring the point cloud by, for each respective point of the 3D point cloud: upon determining that the respective point is in the foreground, assigning a color of a corresponding pixel in the 2D color image to the respective point; and upon determining that the respective point is not in the foreground, not assigning any color to the respective point.

An electrically controlled spectacle includes a spectacle frame and optoelectronic lenses housed in the frame. The lenses include a left lens and a right lens, each of the optoelectrical lenses having a plurality of states, wherein the state of the left lens is independent of the state of the right lens. The electrically controlled spectacle also includes a control unit housed in the frame, the control unit being adapted to control the state of each of the lenses independently.

A dimensioning system that analyzes a distance map for null-data pixels to provide feedback is disclosed. Null-data pixels correspond to missing range data and having too many in a distance map may lead to dimensioning errors. Providing feedback based on the number of null-data pixels helps a user understand and adapt to different dimensioning conditions, promotes accuracy, and facilitates handheld applications.