Method for establishing three-dimensional desktop and electronic device using the same
Patent Information
- Application Number
- TW114130340
- Authority / Receiving Office
- TW · TW
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2025-08-08
- Publication Date
- 2026-09-21
- Estimated Expiration
- 2045-08-07
Smart Images

Figure TWG2TB001912364_001 
Figure TWG2TB001912364_002 
Figure TWG2TB001912364_003
Abstract
Claims
1. A method for creating a three-dimensional tablecloth, comprising: Determine whether at least one original frame is a game image; if the at least one original frame is the game image, obtain the at least one original frame and at least one depth information from a super-resolution image reconstruction unit, the super-resolution image reconstruction unit being a hardware component that executes a frame generation framework or a frame generation framework, the depth information being obtained from the frame generation framework or the frame generation framework, each of the at least one original frame having a foreground and a background; detect the head position of a user; based on the user's head position and the at least one depth information, adjust the position of the foreground relative to the background to establish a real-time animation surface, the adjusted foreground will shift to the right or left relative to the background; and output the real-time animation surface to a two-dimensional display unit to present the three-dimensional wallpaper.
2. The method for creating a three-dimensional tablecloth as described in claim 1, wherein the at least one original image is a plurality of consecutive images.
3. The method for creating a three-dimensional tablecloth as described in claim 1 further includes: Based on the direction of one of the user's gazes, a portion of the original image is captured.
4. The method for creating a 3D tablecloth as described in claim 1, wherein the super-resolution image reconstruction unit uses a spatial upsampling algorithm and a hybrid temporal upsampling algorithm to improve the resolution and frame rate of the game image.
5. The method for creating a 3D tablecloth as described in claim 1, wherein the super-resolution image reconstruction unit utilizes a deep learning algorithm and a temporal sampling algorithm to improve the resolution and frame rate of the game image.
6. The method for creating a three-dimensional tablecloth as described in claim 1 further includes: If the at least one original frame is not the game image, then the at least one depth information is generated based on the at least one original frame.
7. An electronic device comprising: An image analysis unit for determining whether at least one original image is a game image; a super-resolution image reconstruction unit; a capture interface, which, if the at least one original image is the game image, obtains the at least one original image and at least one depth information from the super-resolution image reconstruction unit, the super-resolution image reconstruction unit being a hardware component that executes a screen generation frame or a frame generation frame, the depth information being obtained from the screen generation frame or the frame generation frame, each of the at least one original image having a foreground and a background; a tracking unit for detecting the head position of a user; an image processing unit for adjusting the position of the foreground relative to the background based on the user's head position and the at least one depth information to establish a real-time animated image, the adjusted foreground shifting to the right or left relative to the background; and a two-dimensional display unit for displaying the real-time animated image to present a three-dimensional wallpaper.
8. The electronic device as claimed in claim 7, wherein the at least one original image is a plurality of consecutive images.
9. The electronic device as claimed in claim 7, wherein the tracking unit further tracks one of the user's gaze directions, and the image processing unit further captures a portion of the at least one original image based on the user's gaze direction.
10. The electronic device as claimed in claim 7, wherein the super-resolution image reconstruction unit uses a spatial upsampling algorithm and a hybrid temporal upsampling algorithm to enhance the resolution and frame rate of the game image.
11. The electronic device as claimed in claim 7, wherein the super-resolution image reconstruction unit uses a deep learning algorithm and a temporal sampling algorithm to improve the resolution and frame rate of the game image.
12. The electronic device as described in claim 7, further comprising: A depth information generation unit generates at least one depth information based on the at least one original frame if the at least one original frame is not the game image.
13. The electronic device as claimed in claim 7, wherein the two-dimensional display unit is externally connected to the electronic device.
Citation Information
Patent Citations
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