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.

There is provided a system and method for optimizing depth imaging. The method including: illuminating one or more scenes with illumination patterns; capturing one or more images of each of the scenes; reconstructing the scenes; estimating the reconstruction error and a gradient of the reconstruction error; iteratively performing until the reconstruction error reaches a predetermined error condition: determining a current set of control vectors and current set of reconstruction parameters; illuminating the one or more scenes with the illumination patterns governed by the current set of control vectors; capturing one or more images of each of the scenes while the scene is being illuminated with at least one of the illumination patterns; reconstructing the scenes from the one or more captured images using the current reconstruction parameters; and estimating an updated reconstruction error and gradient; and outputting at least one of control vectors and reconstruction parameters.

There is provided a system and method for optimizing depth imaging. The method including: illuminating one or more scenes with illumination patterns; capturing one or more images of each of the scenes; reconstructing the scenes; estimating the reconstruction error and a gradient of the reconstruction error; iteratively performing until the reconstruction error reaches a predetermined error condition: determining a current set of control vectors and current set of reconstruction parameters; illuminating the one or more scenes with the illumination patterns governed by the current set of control vectors; capturing one or more images of each of the scenes while the scene is being illuminated with at least one of the illumination patterns; reconstructing the scenes from the one or more captured images using the current reconstruction parameters; and estimating an updated reconstruction error and gradient; and outputting at least one of control vectors and reconstruction parameters.

A depth sculpturing system comprises an eyewear device that includes a frame, a temple connected to a lateral side of the frame, and a depth-capturing camera. The depth sculpturing system further includes a user input device. Execution of programming by a processor configures the depth sculpturing system to perform functions to track, via the user input device, motion of a two-dimensional input selection from an initial touch point to a final touch point. The depth sculpturing system determines a rotation matrix between an initial ray and a final ray that project to the initial touch point and the final touch point, correspondingly. The depth sculpturing system generates a depth sculptured image by applying the rotation matrix to vertices of an initial depth image. The depth sculpturing system presents, via an image display, the depth sculptured image.

In a multi-camera system (S), a control apparatus (1) includes: an acquisition unit (141) configured to acquire image data from each of a plurality of cameras (2); a generation unit (142) configured to generate three-dimensional shape information for a subject in a predetermined imaging area on the basis of a plurality of pieces of image data; a selection unit (143) configured to select at least a partial area of an area represented by the three-dimensional shape information of the subject as an area for calculating a control value of each of the plurality of cameras (2); a creation unit (144) configured to create mask information that is an image area used for control value calculation within the area selected by the selection unit (143) for each of the plurality of pieces of image data; and a calculation unit (145) configured to calculate the control value of each of the plurality of cameras (2) on the basis of the image data from each of the plurality of cameras (2) and the mask information.

This disclosure contains methods and systems that allow filmmakers to port filmmaking and editing skills to produce content to be used in other environments, such as video game environments, and augmented reality, virtual reality, mixed reality, and non-linear storytelling environments.

A handheld device has a projector that projects a pattern of light onto an object, a first camera that captures the projected pattern of light in first images, a second camera that captures the projected pattern of light in second images, a registration camera that captures a succession of third images, one or more processors that determines three-dimensional (3D) coordinates of points on the object based at least in part on the projected pattern, the first images, and the second images, the one or more processors being further operable to register the determined 3D coordinates based at least in part on common features extracted from the succession of third images, and a mobile computing device operably connected to the handheld device and cooperating with the one or more processors, the mobile computing device operable to display the registered 3D coordinates of points.

A laser generator is provided. The laser generator includes a substrate and an array of light-emitting elements. The array of light-emitting elements is arranged on the substrate. The array of light-emitting elements includes a basic array and an additional array added to the basic array. The basic array forms a basic area, and the additional array forms an additional area. The basic array includes at least three basic sub-arrays, and each basic sub-array forms a basic sub-area. The basic area includes a common area arranged in at least three basic sub-areas, and the common area is further arranged within the additional area.

Embodiments of the present disclosure disclose a method and an apparatus for detecting an obstacle, an electronic device, a vehicle and a storage medium. The method includes: obtaining a depth map around a vehicle; performing a terrain fitting based on the depth map to determine a terrain equation; determining a set of candidate obstacle points based on the terrain equation and the depth map; clustering candidate obstacle points in the set of candidate obstacle points to obtain at least one independent obstacle; and identifying and filtering a falsely detected obstacle from the at least one independent obstacle to obtain a depth-map-based obstacle detection result.

Embodiments of the present disclosure disclose a method and an apparatus for detecting an obstacle, an electronic device, a vehicle and a storage medium. The method includes: obtaining a depth map around a vehicle; performing a terrain fitting based on the depth map to determine a terrain equation; determining a set of candidate obstacle points based on the terrain equation and the depth map; clustering candidate obstacle points in the set of candidate obstacle points to obtain at least one independent obstacle; and identifying and filtering a falsely detected obstacle from the at least one independent obstacle to obtain a depth-map-based obstacle detection result.