Embodiments of the invention provide a camera array imaging architecture that computes depth maps for objects within a scene captured by the cameras, and use a near-field sub-array of cameras to compute depth to near-field objects and a far-field sub-array of cameras to compute depth to far-field objects. In particular, a baseline distance between cameras in the near-field subarray is less than a baseline distance between cameras in the far-field sub-array in order to increase the accuracy of the depth map. Some embodiments provide an illumination near-IR light source for use in computing depth maps.

Embodiments of the invention provide a camera array imaging architecture that computes depth maps for objects within a scene captured by the cameras, and use a near-field sub-array of cameras to compute depth to near-field objects and a far-field sub-array of cameras to compute depth to far-field objects. In particular, a baseline distance between cameras in the near-field subarray is less than a baseline distance between cameras in the far-field sub-array in order to increase the accuracy of the depth map. Some embodiments provide an illumination near-IR light source for use in computing depth maps.

A device for detecting the surroundings of a vehicle and a method for detecting the surroundings, and a vehicle designed to carry out said method comprise a camera module, a camera control apparatus, an analysis unit and an illumination device. The illumination device is formed by a matrix headlight of the vehicle and is designed such that it can project a light pattern into the surroundings. The projected light pattern is imaged in the detection region of the camera module and the 3D position of measurement points formed by the light pattern in the surroundings is determined by the analysis unit. However, the illumination device projects the light pattern only into regions of the surroundings in which the analysis unit has ascertained, based on image data, a value that is critical for 3D position determination.

A device for detecting the surroundings of a vehicle and a method for detecting the surroundings, and a vehicle designed to carry out said method comprise a camera module, a camera control apparatus, an analysis unit and an illumination device. The illumination device is formed by a matrix headlight of the vehicle and is designed such that it can project a light pattern into the surroundings. The projected light pattern is imaged in the detection region of the camera module and the 3D position of measurement points formed by the light pattern in the surroundings is determined by the analysis unit. However, the illumination device projects the light pattern only into regions of the surroundings in which the analysis unit has ascertained, based on image data, a value that is critical for 3D position determination.

A method and a system for intelligently controlling children's usage of a screen terminal are provided in this disclosure, which relate to the technical field of intelligent home terminals. When children use the screen terminal, children's age can be automatically and intelligently identified, real-time intelligent supervision on children's sitting posture, distance and other aspects can be conducted according to different children's ages, so as to intelligently control on and off duration of the screen terminal, so as to guide the children to use the screen terminal device healthily. Compared with prior art schemes, in the disclosure, management of the screen terminal device can be realized without manual operation, reducing trouble from manual equipment management, further realizing specific control of children's usage of the screen terminal by age, increasing intelligence degree, and with advantage of being used in multiple scenes.

A method and a system for intelligently controlling children's usage of a screen terminal are provided in this disclosure, which relate to the technical field of intelligent home terminals. When children use the screen terminal, children's age can be automatically and intelligently identified, real-time intelligent supervision on children's sitting posture, distance and other aspects can be conducted according to different children's ages, so as to intelligently control on and off duration of the screen terminal, so as to guide the children to use the screen terminal device healthily. Compared with prior art schemes, in the disclosure, management of the screen terminal device can be realized without manual operation, reducing trouble from manual equipment management, further realizing specific control of children's usage of the screen terminal by age, increasing intelligence degree, and with advantage of being used in multiple scenes.

Techniques for aligning images generated by an integrated camera physically mounted to an HMD with images generated by a detached camera physically unmounted from the HMD are disclosed. A 3D feature map is generated and shared with the detached camera. Both the integrated camera and the detached camera use the 3D feature map to relocalize themselves and to determine their respective 6 DOF poses. The HMD receives the detached camera's image of the environment and the 6 DOF pose of the detached camera. A depth map of the environment is accessed. An overlaid image is generated by reprojecting a perspective of the detached camera's image to align with a perspective of the integrated camera and by overlaying the reprojected detached camera's image onto the integrated camera's image.

Techniques for aligning images generated by an integrated camera physically mounted to an HMD with images generated by a detached camera physically unmounted from the HMD are disclosed. A 3D feature map is generated and shared with the detached camera. Both the integrated camera and the detached camera use the 3D feature map to relocalize themselves and to determine their respective 6 DOF poses. The HMD receives the detached camera's image of the environment and the 6 DOF pose of the detached camera. A depth map of the environment is accessed. An overlaid image is generated by reprojecting a perspective of the detached camera's image to align with a perspective of the integrated camera and by overlaying the reprojected detached camera's image onto the integrated camera's image.

Disclosed are systems, methods, and non-transitory computer-readable media for varied depth determination using, stereo vision and phase detection auto focus (PDAF). Computer stereo vision (stereo vision) is used to extract three-dimensional information from digital images. To utilize stereo vison, two optical sensors are displaced horizontally from one another and used to capture images depicting two differing views of a real-world environment from two different vantage points. The relative depth of the objects captured in the images is determined using triangulation by comparing the relative positions of the objects in the two images. For example, the relative positions of matching objects (e.g., features) identified in the captured images are used along with the known orientation of the optical sensors (e.g., distance between the optical sensors, vantage points the optical sensors) to estimate the depth of the objects.

A long-baseline and long depth-range stereo vision system is provided that is suitable for use in non-rigid assemblies where relative motion between two or more cameras of the system does not degrade estimates of a depth map. The stereo vision system may include a processor that tracks camera parameters as a function of time to rectify images from the cameras even during fast and slow perturbations to camera positions. Factory calibration of the system is not needed, and manual calibration during regular operation is not needed, thus simplifying manufacturing of the system.