Abstract: A 3D display system and a 3D display method are provided. The 3D display system includes a 3D display, a memory and one or more processors. The memory records a plurality of modules, and the processor accesses and executes the modules recorded by the memory. The modules include a bridge interface module and a 3D display service module. When an application is executed by the processor, the bridge interface module creates a virtual extend screen, and moves the application to the virtual extend screen. The bridge interface module obtains a 2D content frame of the application from the virtual extend screen by a screenshot function. The 3D display service module converts the 2D content frame into a 3D format frame by communicating with a third-party software development kit, and provides the 3D format frame to the 3D display for displaying.

Abstract: An augmented reality (AR) system and an operation method thereof are provided. The AR system includes a target device and an AR device. The AR device captures the target device to generate a picture. The target device provides a digital content to the AR device. The AR device tracks the target device in the picture for an AR application. During the AR application, the AR device overlays the digital content on the target device in the picture.

Abstract: An electronic apparatus and a data transmission method thereof are provided. The data transmission method is adapted to the electronic apparatus including a touch screen, and the data transmission method includes the following steps. An image frame is displayed through the touch screen. A connection with another electronic apparatus placed on the touch screen is established. Position information of said another electronic apparatus on the touch screen is detected through the touch screen, to capture a partial frame from the image frame according to the position information of said another electronic apparatus. Feature information of data to be transmitted is obtained from the partial frame. The data to be transmitted is sent to said another electronic apparatus via the connection according to the feature information.

Abstract: An electronic apparatus and an object information recognition method by using touch data thereof are provided. Touch sensing is performed in the case where no object touches a touch panel to obtain a specific background frame through the touch panel. A current touch sensing frame is obtained through the touch panel. Touch background data of a plurality of first frame cells in the specific background frame is respectively subtracted from touch raw data of a plurality of second frame cells in the current touch sensing frame to obtain a background removal frame including a plurality of cell values. The background removal frame is transformed into a touch sensing image. The touch sensing image is inputted to a trained neural network model to recognize object information of a touch object.

Abstract: An electronic apparatus and a data transmission method thereof are provided. The data transmission method is adapted to an electronic apparatus including a screen, and the data transmission method includes the following steps. An image frame is displayed through the screen. A selection marquee is displayed on the image frame through the screen, and the selection marquee is configured for selecting a partial image frame from the image frame. Connection information is displayed within the selection marquee through the screen, and feature information of data to be transmitted is recognized from the partial image frame selected by the selection marquee. A connection with another electronic apparatus is established according to the connection information. The data to be transmitted is sent to the another electronic apparatus via the connection according to the feature information.

Abstract: A 3D display system and a 3D display method are provided. The 3D display system includes a 3D display, a memory, and a processor. The processor is coupled to the 3D display and the memory and is configured to execute the following steps. As a first type application program is executed, an image content of the first type application program is captured, and a stereo format image is generated according to the image content of the first type application program. The stereo format image is delivered to a runtime complying with a specific development standard through an application program interface complying with the specific development standard. A display frame processing associated with the 3D display is performed on the stereo format image through the runtime, and a 3D display image content generated by the display frame processing is provided to the 3D display for displaying.

Abstract: A method for processing an image that can be played on a virtual device, including obtaining a super-resolution deep learning network model, which is trained to learn to reconstruct an image from low resolution to high resolution; wherein the super-resolution deep learning network model includes a plurality of feature filters to extract features of the image; modifying the resolution of the feature filters from a preset value to an established value, wherein the established value is higher than the preset value; inputting a low-resolution image into the super-resolution deep learning network model; and increasing the resolution of the low-resolution image to become a high-resolution image through the super-resolution deep learning network model.

Abstract: A side by side image detection method and an electronic apparatus using the same are provided. The side by side image detection method includes the following steps. A first image with a first image size is obtained. A second image with a second image size that conforms to a side-by-side image format is detected within the first image by using a convolutional neural network model.

Abstract: A stereo image generation method and an electronic apparatus using the same are provided. The stereo image generation method includes the following steps. A two-dimensional (2D) original image corresponding to a first viewing angle is obtained, and a depth map of the 2D original image is estimated. Interpupillary distance information of a user is detected. A pixel shift processing is performed on the 2D original image according to the interpupillary distance information and the depth map to generate a reference image corresponding to a second viewing angle. An image inpainting processing is performed on the reference image to obtain a restored image. The restored image and the 2D original image are merged to generate a stereo image conforming to a stereo image format.

Abstract: An augmented reality screen system includes an augmented reality device and a host. The augmented reality device is configured to take a physical mark through a camera. The host is configured to receive the physical mark, determine position information and rotation information of the physical mark, and fetch a virtual image from a storage device through a processor of the host. The processor transmits an adjusted virtual image to the augmented reality device according to the position information and the rotation information, and the augmentation device projects the adjusted virtual image to a display of the augmented reality device. The adjusted virtual image becomes a virtual extended screen, and the virtual extended screen and the physical mark are simultaneously displayed on the display of the augmented reality device.

Abstract: A smart charging device having a charging module and a UV lamp set mounted in the main body thereof is disclosed. The charging module includes power supply circuit, a power input unit connected to the power supply circuit for power, and a charging area connected to the power supply circuit for charging mobile devices. The UV lamp set includes a drive control circuit connected to the power supply circuit, a start unit and at least one UV lamp connected to the drive control circuit through the start unit. In addition to the charging function, the smart charging device also provides an ultraviolet sterilization function.

Abstract: An augmented reality screen system includes an augmented reality device and a host. The augmented reality device is configured to take a physical mark through a camera. The host is configured to receive the physical mark, determine position information and rotation information of the physical mark, and fetch a virtual image from a storage device through a processor of the host. The processor transmits an adjusted virtual image to the augmented reality device according to the position information and the rotation information, and the augmentation device projects the adjusted virtual image to a display of the augmented reality device. The adjusted virtual image becomes a virtual extended screen, and the virtual extended screen and the physical mark are simultaneously displayed on the display of the augmented reality device.

Abstract: A 3D display system and a 3D display method are provided. The 3D display system includes a 3D display, a memory and one or more processors. The memory records a plurality of modules, and the processor accesses and executes the modules recorded by the memory. The modules include a bridge interface module and a 3D display service module. When an application is executed by the processor, the bridge interface module creates a virtual extend screen, and moves the application to the virtual extend screen. The bridge interface module obtains a 2D content frame of the application from the virtual extend screen by a screenshot function. The 3D display service module converts the 2D content frame into a 3D format frame by communicating with a third-party software development kit, and provides the 3D format frame to the 3D display for displaying.

Abstract: A display system is provided. The display system includes a virtual reality display apparatus, an autostereoscopic display apparatus, and a host. In response to a processing unit of the host receiving a specific input signal, the processing unit generates a display-mode control signal, executes an image-conversion software development kit of an OpenVR driver to convert a virtual-reality (VR) stereoscopic image, that is generated by a VR application executed by the host, into an autostereoscopic image, and writes the autostereoscopic image to a second image buffer of the host. In response to the display-mode control signal, the autostereoscopic display apparatus is switched to an autostereoscopic display mode, and a multiplexing circuit of the host selects the autostereoscopic image stored in the second image buffer as an output image signal, and sends the output image signal to the autostereoscopic display apparatus for displaying.

Abstract: A resource integration method includes the following steps: a receiving module receives access information from a guest operating system on the host device; the access information is used to determine whether the frame rate is lower than a frame rate threshold; when the receiving module determines that the frame rate is lower than the frame rate threshold, the receiving module transmits an external resource request signal to the receiving module; after the receiving module receives the external resource request signal, a resource management module (which is located in the bridge module) selects an optimal external device from a specific category (among a plurality of categories in a candidate list), and a calculation operation or a storage operation corresponding to the specific category is transmitted to the optimal external device for calculation or storage by the bridge module.

Abstract: An augmented reality screen system includes an augmented reality device and a host. The augmented reality device is configured to take a physical mark through a camera. The host is configured to receive the physical mark, determine position information and rotation information of the physical mark, and fetch a virtual image from a storage device through a processor of the host. The processor transmits an adjusted virtual image to the augmented reality device according to the position information and the rotation information, and the augmentation device projects the adjusted virtual image to a display of the augmented reality device. The adjusted virtual image becomes a virtual extended screen, and the virtual extended screen and the physical mark are simultaneously displayed on the display of the augmented reality device.

Abstract: A resource integration method includes the following steps: allowing a host operating system of a host device to communicate with an external device; using a bridge module to obtain external device information; receiving an access command from a guest operating system to the host device; receiving a hardware processing result from the host device; selectively transmitting the access command to the external device through the bridge module; and receiving the hardware processing result from the external device at a receiving module. The hardware processing result corresponds to the access command. The host device executes the virtual environment on the host operating system. The guest operating system runs in the virtual environment. The guest operating system executes an application program. The application program is used to issue the access command.

Abstract: An angle of view calibration method, a virtual reality display system and a computing apparatus are provided. Whether a Head-Mounted-Display (HMD) is worn on the head of a user is detected by a wearing sensor. A current video frame displayed by the HMD is captured in response to the HMD being worn on the head of the user, wherein the current video frame is generated based on an orientation position parameter of the HMD. A frame elevation angle of the current video frame is determined. The orientation position parameter of the HMD is calibrated according to the frame elevation angle, such that the HMD displays a next video frame generated based on the calibrated orientation position parameter.

Abstract: A method for processing an image that can be played on a virtual device, including obtaining a super-resolution deep learning network model, which is trained to learn to reconstruct an image from low resolution to high resolution; wherein the super-resolution deep learning network model includes a plurality of feature filters to extract features of the image; modifying the resolution of the feature filters from a preset value to an established value, wherein the established value is higher than the preset value; inputting a low-resolution image into the super-resolution deep learning network model; and increasing the resolution of the low-resolution image to become a high-resolution image through the super-resolution deep learning network model.

Abstract: An electronic apparatus and a method for recognizing view angle of displayed screen thereof. The method is adapted to the electronic apparatus and includes the following steps. A first person view screen displayed by a display is captured. A specific object in the first person view screen is removed to generate a preprocessed image. The preprocessed image is inputted into a neural network model to recognize a view angle of the first person view screen. A function is performed according to the view angle of the first person view screen.