An eye positioning apparatus is provided, comprising: an eye positioner, comprising a first black-and-white camera configured to shoot first black-and-white images and a second black-and-white camera configured to shoot second black-and-white images; and an eye positioning image processor, configured to identify presence of eyes based on at least one of the first black-and-white images and the second black-and-white images and determine eye space positions based on the eyes identified in the first black-and-white images and the second black-and-white images. The apparatus can determine the eye space positions of a user at high accuracy, thereby improving 3D display quality. An eye positioning method, a 3D display device and method, a computer-readable storage medium, and a computer program product are also provided.

In one embodiment, a method includes accessing first image data generated by a first image sensor having a first filter array that has a first filter pattern. The first filter pattern includes a number of first filter types. The method also includes accessing second image data generated by a second image sensor having a second filter array that has a second filter pattern different from the first filter pattern. The second filter pattern includes a number of second filter types, the number of second filter types and the number of first filter types have at least one filter type in common. The method also includes determining a correspondence between one or more first pixels of the first image data and one or more second pixels of the second image data based on a portion of the first image data associated with the filter type in common.

There is provided an encoding apparatus, an encoding method, a decoding apparatus, and a decoding method that make it possible to acquire two-dimensional image data of a viewpoint corresponding to a predetermined display image generation method and depth image data without depending upon the viewpoint upon image pickup. A conversion unit generates, from three-dimensional data of an image pickup object, two-dimensional image data of a plurality of viewpoints corresponding to a predetermined display image generation method and depth image data indicative of a position of each of pixels in a depthwise direction of the image pickup object. An encoding unit encodes the two-dimensional image data and the depth image data generated by the conversion unit. A transmission unit transmits the two-dimensional image data and the depth image data encoded by the encoding unit. The present disclosure can be applied, for example, to an encoding apparatus and so forth.

There is provided an encoding apparatus, an encoding method, a decoding apparatus, and a decoding method that make it possible to acquire two-dimensional image data of a viewpoint corresponding to a predetermined display image generation method and depth image data without depending upon the viewpoint upon image pickup. A conversion unit generates, from three-dimensional data of an image pickup object, two-dimensional image data of a plurality of viewpoints corresponding to a predetermined display image generation method and depth image data indicative of a position of each of pixels in a depthwise direction of the image pickup object. An encoding unit encodes the two-dimensional image data and the depth image data generated by the conversion unit. A transmission unit transmits the two-dimensional image data and the depth image data encoded by the encoding unit. The present disclosure can be applied, for example, to an encoding apparatus and so forth.

According to examples, a display system may include a head-mounted display (HMD) headset. The HMD may comprise at least one exterior-facing RBG camera mounted on a front face of the HMD and on a same visual plane of a user's eye. The at least one exterior-facing RBG camera may collects images for view synthesis. The HMD may include a processor, and a memory storing instructions, which when executed by the processor, cause the processor to provide view synthesis in accordance with a machine-learning (ML) based technique comprising at least one of the following: depth estimation, imaging to sharpening, forward splatting, disocclusion filtering, or fusion.

According to examples, a display system may include a head-mounted display (HMD) headset. The HMD may comprise at least one exterior-facing RBG camera mounted on a front face of the HMD and on a same visual plane of a user's eye. The at least one exterior-facing RBG camera may collects images for view synthesis. The HMD may include a processor, and a memory storing instructions, which when executed by the processor, cause the processor to provide view synthesis in accordance with a machine-learning (ML) based technique comprising at least one of the following: depth estimation, imaging to sharpening, forward splatting, disocclusion filtering, or fusion.

A device for determining the surface topology and associated color of a structure, such as a teeth segment, includes a scanner for providing depth data for points along a two-dimensional array substantially orthogonal to the depth direction, and an image acquisition means for providing color data for each of the points of the array, while the spatial disposition of the device with respect to the structure is maintained substantially unchanged. A processor combines the color data and depth data for each point in the array, thereby providing a three-dimensional color virtual model of the surface of the structure. A corresponding method for determining the surface topology and associate color of a structure is also provided.

A device for determining the surface topology and associated color of a structure, such as a teeth segment, includes a scanner for providing depth data for points along a two-dimensional array substantially orthogonal to the depth direction, and an image acquisition means for providing color data for each of the points of the array, while the spatial disposition of the device with respect to the structure is maintained substantially unchanged. A processor combines the color data and depth data for each point in the array, thereby providing a three-dimensional color virtual model of the surface of the structure. A corresponding method for determining the surface topology and associate color of a structure is also provided.

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.