Abstract: A depth information detector includes a light receiving module and a processor. The light receiving module includes a first receiver and a second receiver set at intervals. The first receiver and the second receiver receive a reflected light reflected by an object to be detected at different positions respectively. The processor electrically connects to the light receiving module. The processor is configured for synthesizing the reflected light received by the first receiver and the second receiver into a depth image. The light receiving module also includes a first polarizer and a second polarizer, the first polarizer is on one side of the first receiver, the second polarizer is on one side of the second receiver, a polarization direction of the first polarizer and a polarization direction of the second polarizer are orthogonal to each other. A time-of-flight camera and a depth image acquisition method are further disclosed.

Abstract: A board to board connector includes a first male connector and a second male connector. The first male connector includes a first number of pins. The second male connector is aligned with the first male connector and includes a second number of pins. The first male connector is configured to be removably electrically coupled to a first female connector including a third number of pins equal to the first number and the second male connector is configured to be removably electrically coupled to a second female connector including a fourth number of pins equal to the second number. The first male connector and the second male connector are also configured to be removably electrically coupled to a single third female connector including a fifth number of pins equal to the first number plus the second number.

Abstract: An all-in-one computer includes a display, a Universal Serial Bus (USB) Type-C port, a plurality of USB Type-A ports, a USB hub, a demultiplexer, and a Power Delivery (PD) controller. The USB hub is coupled to the plurality of USB Type-A ports. The demultiplexer is coupled between the display, the USB Type-C port, and the USB hub. The PD controller is to control the demultiplexer and the USB hub to pass a display signal input to the USB Type-C port to the display and pass signals input to the USB hub from the plurality of USB Type-A ports to the USB Type-C port with a computing device coupled to the USB Type-C port.

Abstract: An all-in-one computer includes a display, a Universal Serial Bus (USB) Type-C port, a plurality of USB Type-A ports, a USB hub, a demultiplexer, and a Power Delivery (PD) controller. The USB hub is coupled to the plurality of USB Type-A ports. The demultiplexer is coupled between the display, the USB Type-C port, and the USB hub. The PD controller is to control the demultiplexer and the USB hub to pass a display signal input to the USB Type-C port to the display and pass signals input to the USB hub from the plurality of USB Type-A ports to the USB Type-C port with a computing device coupled to the USB Type-C port.

Abstract: A board to board connector includes a first male connector and a second male connector. The first male connector includes a first number of pins. The second male connector is aligned with the first male connector and includes a second number of pins. The first male connector is configured to be removably electrically coupled to a first female connector including a third number of pins equal to the first number and the second male connector is configured to be removably electrically coupled to a second female connector including a fourth number of pins equal to the second number. The first male connector and the second male connector are also configured to be removably electrically coupled to a single third female connector including a fifth number of pins equal to the first number plus the second number.

Abstract: A 3D (three dimensional) model reconstruction method that includes the steps outlined below. Depth data of a target object corresponding to a current time spot is received. Camera pose data of the depth camera corresponding to the current time spot is received. Posed 3D point clouds corresponding to the current time spot are generated according to the depth data and the camera pose data. Posed estimated point clouds corresponding to the current time spot are generated according to the camera pose data corresponding to the current time spot and a previous 3D model corresponding to a previous time spot. A current 3D model of the target object is generated according to the posed 3D point clouds based on a difference between the posed 3D point clouds and the posed estimated point clouds.

Abstract: A 3D model reconstruction method includes: providing, by one or more laser emitters, laser beams; capturing, by a depth camera on an electronic device, a depth data of a target object when that the electronic device moves around the target object; detecting, by one or more light sensors on the electronic device, the laser beams emitted by the one or more laser emitters to obtain a camera pose initial value of the depth camera accordingly; and performing, by a processing circuit, a 3D reconstruction of the target object using the depth data based on the camera pose initial value to output a 3D model of the target object.

Abstract: A 3D (three dimensional) model reconstruction method that includes the steps outlined below. Depth data of a target object corresponding to a current time spot is received. Camera pose data of the depth camera corresponding to the current time spot is received. posed 3D point clouds corresponding to the current time spot are generated according to the depth data and the camera pose data. Posed estimated point clouds corresponding to the current time spot are generated according to the camera pose data corresponding to the current time spot and a previous 3D model corresponding to a previous time spot. A current 3D model of the target object is generated according to the posed 3D point clouds based on a difference between the posed 3D point clouds and the posed estimated point clouds.

Abstract: A computer-implemented 3D model analysis method includes: projecting, by a processing circuit, multiple sample points in a 3-dimensional model of a scene to one or more 2-dimensional planes in order to obtain one or more 2-dimensional images corresponding to the 3-dimensional model of the scene; performing, by the processing circuit, an object segmentation and classification based on the one or more 2-dimensional images to obtain 2-dimensional sematic information on the one or more 2-dimensional planes; and projecting, by the processing circuit, the 2-dimensional sematic information to the 3-dimensional model of the scene to identify one or more target objects in the scene.

Abstract: A 3D model reconstruction method includes: providing, by one or more laser emitters, laser beams; capturing, by a depth camera on an electronic device, a depth data of a target object when that the electronic device moves around the target object; detecting, by one or more light sensors on the electronic device, the laser beams emitted by the one or more laser emitters to obtain a camera pose initial value of the depth camera accordingly; and performing, by a processing circuit, a 3D reconstruction of the target object using the depth data based on the camera pose initial value to output a 3D model of the target object.