Depth Adjusted Image File Generation via Object Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face difficulties in adjusting the 3D effect of captured images after they have been taken, as existing technologies do not provide a straightforward method for modifying the depth of objects within 3D images.
Innovation Solution
An image processing method and electronic apparatus that allow users to select objects within a 3D image and adjust their depth by inputting commands, generating a depth-adjusted image file, and displaying the adjusted image, which can also include recognizing objects, capturing images, and associating them with depth maps for further processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a 3D image is captured using a depth camera or stereo camera, then a realistic 3D appearance is achieved, but the ability to change the 3D effect after capture is lost
Solution Approach 1:
The system performs preliminary actions by capturing both the image and depth map information simultaneously during the initial photo capture. This pre-processing stores the necessary depth data (distance information for each pixel) that enables later depth adjustment operations without requiring complex post-capture processing equipment.
Solution Approach 2:
The system creates a depth map as a separate data layer that copies and represents the depth information of the original scene. This depth map serves as a virtual copy of the spatial relationships in the image, allowing users to manipulate depth values independently without affecting the original image quality or requiring physical 3D equipment for adjustments.
2Adaptability or versatility
If depth information is stored for each object, then post-capture depth adjustment becomes possible, but data storage requirements increase
Solution Approach 1:
The system extracts only the essential depth information (distance values) from the full 3D scene data and stores it in a simplified depth map format. Instead of storing complete point cloud data or complex spatial relationships, it extracts and stores only the necessary depth values associated with each pixel or region, significantly reducing storage requirements while maintaining depth adjustment functionality.
Solution Approach 2:
The system applies different depth values and processing to different regions or objects within the image independently. Each object or region can have its own depth map values, allowing selective depth adjustment for specific objects without processing or storing depth information uniformly for the entire image, thus optimizing storage efficiency.
Data Source
AI summary
Provided is an image processing method including: displaying an image including a plurality of objects; receiving a selection of an object from among the plurality of objects; receiving a depth adjustment input; changing a depth of the selected object based on the depth adjustment input; generating a depth adjusted image file of the image based on the changed depth; and displaying a depth adjusted image based on the generated depth adjusted image file.