Virtual Camera Trajectory for Stronger 3D Image Display
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Solution Overview
Problem
Existing electronic devices struggle to effectively convert two-dimensional images into three-dimensional images, resulting in a lack of perceptible difference between 2D and 3D images, leading to a suboptimal user experience.
Innovation Solution
An electronic device equipped with AI-based components such as a segment engine, depth heat map, saliency learning model, face detection model, virtual camera, and trajectory generation model processes a 2D image to identify specific objects, track gaze direction, and generate a 3D video by moving a virtual camera along defined trajectories, enhancing the 3D effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a 2D image is converted into a 3D image using conventional methods, then the image is displayed in three dimensions, but the 3D effect is not well expressed and the user does not perceive a difference between 2D and 3D images
Solution Approach 1:
The patent segments the 2D image into multiple depth layers using depth estimation algorithms. Each layer represents a different depth plane, allowing the system to construct a volumetric 3D representation by stacking these segmented layers with appropriate spacing and transparency, thereby achieving a perceptible 3D effect.
Solution Approach 2:
The patent transitions from 2D image representation to 3D volumetric representation by adding the depth dimension. This is achieved by estimating depth information for each pixel, creating multiple depth slices, and rendering them in a three-dimensional space with proper perspective and occlusion handling, making the 3D effect clearly distinguishable from the original 2D image.
2Measurement precision
If a static 3D image is displayed, then the conversion from 2D to 3D is achieved, but the 3D effect is not well expressed and user experience is suboptimal
Solution Approach 1:
The patent performs preliminary depth estimation and layer segmentation on the 2D image before rendering. By pre-processing the image to extract depth maps and organize volumetric data in advance, the system reduces real-time processing requirements during display, enabling both high-quality 3D effects and efficient rendering performance.
Solution Approach 2:
The patent implements dynamic 3D visualization by allowing users to interactively adjust viewing angles, zoom levels, and camera positions within the volumetric space. The system dynamically re-renders the 3D scene based on user input, providing an engaging and immersive experience that clearly demonstrates the three-dimensional structure.
Data Source
AI summary
An electronic device according to an embodiment of the disclosure may include: a display; at least one processor; and at least one memory configured to store instructions, wherein the instructions, when executed individually or collectively by the at least one processor, cause the electronic device to: identify a specific object in an image; identify at least one movement point of a virtual camera, based on a position of the specific object; identify a movement trajectory, based on the at least one movement point; capture a video, based on the movement trajectory; and display the video on the display and/or store the video in the at least one memory.