3D Image Creation via User-Guided Object Segmentation
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Solution Overview
Problem
Current methods for creating 3D images from 2D images are inefficient in segmenting objects and arranging layers, which hinders the effective conversion of 2D images into 3D formats for display.
Innovation Solution
A method and apparatus that allow user interaction for segmenting objects within input images, editing their areas, configuring layers, and converting the images into 3D formats based on user input, including receiving user inputs for object segmentation, editing borders, creating layers, and determining their arrangement order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic segmentation methods are used, then processing speed is improved, but segmentation precision deteriorates
Solution Approach 1:
The patent divides the image processing into distinct segments: automatic segmentation for initial object identification and manual refinement for precise border adjustment. This allows the system to benefit from both automated processing speed and manual precision where needed.
Solution Approach 2:
The patent implements a feedback mechanism where users can review and correct automatic segmentation results. The system displays segmented objects and allows users to adjust borders, with these corrections feeding back into the final 3D image generation process.
2Manufacturing precision
If manual segmentation is performed, then segmentation precision is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary automatic segmentation to establish initial object boundaries and structures. This preliminary action handles the bulk of the processing time, leaving only minor manual adjustments needed, thus reducing overall processing time while maintaining precision.
Solution Approach 2:
The patent applies partial manual intervention rather than complete manual segmentation. The system performs more automatic processing than purely manual methods would require, and only intervenes manually when automatic methods fail or produce unacceptable results.
3Shape
If layers are created for each segmented object, then 3D effect is improved, but device complexity increases
Solution Approach 1:
The patent segments objects into separate layers based on their spatial relationships and visual characteristics. This segmentation enables the 3D effect while organizing complexity into manageable groups rather than treating every object as a separate complex layer.
Solution Approach 2:
The patent creates a universal layer management system that handles multiple objects and frames uniformly. The same layer creation and arrangement process applies to all segmented objects, reducing overall system complexity through standardization.
4Manufacturing precision
If user interaction is added for segmentation, then segmentation precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements self-service through automatic segmentation that requires minimal user input. The system performs segmentation autonomously and presents results for review, allowing users to correct errors without needing to perform complex manual segmentation operations.
Solution Approach 2:
The patent uses visual indicators such as color changes to highlight segmented objects and areas requiring user attention. This visual feedback simplifies the user interaction by making the system state transparent and easy to understand at a glance.
Data Source
AI summary
A method of creating a three-dimensional (3D) image based on user interaction, the method including receiving an input image; receiving a user input; segmenting an object, which is included in the input image, based on the received user input; editing an area of the segmented object; configuring a layer for the segmented object, based on the edited area; and creating a 3D image, based on the configured layer.