A method performed by a device for occlusion handling in augmented reality is provided. The device can generate at least one pixel classification image in a frame including an occluding object and having foreground, background, and unknown pixels. Generation of the at least one pixel classification image can include (1) calculating an initial foreground pixel probability image, and an initial background pixel probability image, and (2) calculating a normalized depth image based on depth information of the occluding object. The device can obtain an alpha mask to blend a virtual object and the foreground of the at least one pixel classification image based on determining a color of the unknown pixels. The device can render a final composition of an augmented reality image containing the virtual object occluded by the occluding object based on applying the alpha mask to pixels in the at least one pixel classification image.

A method performed by a device for occlusion handling in augmented reality is provided. The device can generate at least one pixel classification image in a frame including an occluding object and having foreground, background, and unknown pixels. Generation of the at least one pixel classification image can include (1) calculating an initial foreground pixel probability image, and an initial background pixel probability image, and (2) calculating a normalized depth image based on depth information of the occluding object. The device can obtain an alpha mask to blend a virtual object and the foreground of the at least one pixel classification image based on determining a color of the unknown pixels. The device can render a final composition of an augmented reality image containing the virtual object occluded by the occluding object based on applying the alpha mask to pixels in the at least one pixel classification image.

A method to compute a variable number of image planes, which are selected to better represent the scene while reducing the artifacts on produced novel views. This method analyses the structure of the scene by means of a depth map and selects the position in the Z-axis to split the original image into individual layers. The method also determines the number of layers in an adaptive way.

A method to compute a variable number of image planes, which are selected to better represent the scene while reducing the artifacts on produced novel views. This method analyses the structure of the scene by means of a depth map and selects the position in the Z-axis to split the original image into individual layers. The method also determines the number of layers in an adaptive way.

A computer implemented method can decode a frame of video data comprising an array of pixels to obtain decoded luma values and decoded chroma values corresponding to the array of pixels, and extract a frame mask based on the decoded luma values. The frame mask can include an array of mask values respectively corresponding to the array of pixels. A mask value indicates whether a corresponding pixel is in foreground or background of the frame. The method can perform a morphological operation to the frame mask to change one or more mask values to indicate their corresponding pixels are removed from the foreground and added to the background of the frame. The method can also identify foreground pixels after performing the morphological operation to the frame mask, and render a foreground image for display based on the decoded luma values and decoded chroma values of the foreground pixels.

A computer implemented method can decode a frame of video data comprising an array of pixels to obtain decoded luma values and decoded chroma values corresponding to the array of pixels, and extract a frame mask based on the decoded luma values. The frame mask can include an array of mask values respectively corresponding to the array of pixels. A mask value indicates whether a corresponding pixel is in foreground or background of the frame. The method can perform a morphological operation to the frame mask to change one or more mask values to indicate their corresponding pixels are removed from the foreground and added to the background of the frame. The method can also identify foreground pixels after performing the morphological operation to the frame mask, and render a foreground image for display based on the decoded luma values and decoded chroma values of the foreground pixels.

A non-intrusive detection method for detecting at least one pop-up window button of the pop-up window includes the following steps: retrieving a screen image on a display device; comparing the screen image with a preset screen image and generating a differential image area according the screen image and the preset screen image; determining the differential image area as the pop-up window when the differential image area is greater than an image area threshold value; selecting a plurality of contour lengths of the pop-up window matching up with a contour length threshold value by Canny edge detector; and analyzing the contour lengths according to Douglas-Peucker algorithm and an amount of endpoints to generate a contour edge corresponding to the pop-up window button.

A non-intrusive detection method for detecting at least one pop-up window button of the pop-up window includes the following steps: retrieving a screen image on a display device; comparing the screen image with a preset screen image and generating a differential image area according the screen image and the preset screen image; determining the differential image area as the pop-up window when the differential image area is greater than an image area threshold value; selecting a plurality of contour lengths of the pop-up window matching up with a contour length threshold value by Canny edge detector; and analyzing the contour lengths according to Douglas-Peucker algorithm and an amount of endpoints to generate a contour edge corresponding to the pop-up window button.

A method for determining wire regions of a circuit includes steps of: obtaining an original image containing multiple stick regions; processing the original image to obtain a first processed image containing multiple line segments; grouping the line segments into multiple groups corresponding respectively to the stick regions; generating a second processed image including multiple complete lines corresponding respectively to the groups; and generating a third processed image including multiple extended lines by extending the complete lines; and determining, for each of the extended lines in the third processed image, a rectangular region based on a stick region in the original image corresponding thereto.

A method for determining wire regions of a circuit includes steps of: obtaining an original image containing multiple stick regions; processing the original image to obtain a first processed image containing multiple line segments; grouping the line segments into multiple groups corresponding respectively to the stick regions; generating a second processed image including multiple complete lines corresponding respectively to the groups; and generating a third processed image including multiple extended lines by extending the complete lines; and determining, for each of the extended lines in the third processed image, a rectangular region based on a stick region in the original image corresponding thereto.