2D-to-3D Image Generation With Layered Depth Rendering
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Solution Overview
Problem
Users face challenges in creating and obtaining three-dimensional (3D) images for light field displays (LFDs) as existing 3D images are limited and not easily customizable by users.
Innovation Solution
An image generation apparatus and method that allows users to convert two-dimensional (2D) images into 3D images by selecting a 3D space type and generating 3D images with distinct layers of objects having different depth levels, applying blur effects, and controlling the display to output these images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users convert 2D images to 3D images using existing methods, then 3D images can be obtained, but the process is complex and time-consuming
Solution Approach 1:
The system pre-provides multiple 3D space types (room, corridor, outdoor, abstract) and automated conversion algorithms, so users don't need to perform complex 3D modeling steps manually. The automated 2D-to-3D conversion process is prepared in advance through machine learning models and rendering engines.
Solution Approach 2:
The system creates 3D copies of 2D images through automated generation processes. Multiple 3D space type copies (room, corridor, outdoor, abstract) are generated from a single 2D input image, providing users with varied 3D representations without requiring manual recreation.
2Adaptability or versatility
If 3D images are provided by manufacturers, then users can obtain 3D images easily, but the selection is limited and not customizable
Solution Approach 1:
The image generation apparatus serves multiple functions: it can generate 3D images from 2D images, provide multiple 3D space types, apply different blur effects, and handle various object layers. This universal system replaces multiple specialized tools, allowing users to create customized 3D images while maintaining ease of use.
Solution Approach 2:
The system transforms 2D images into 3D images by adding depth dimension. It provides four distinct 3D space types (room, corridor, outdoor, abstract) that represent different dimensional interpretations of the same 2D input, greatly expanding the variety of available 3D images while maintaining a simple user interface.
3Manufacturing precision
If multiple objects with different depth levels are generated, then depth perception is enhanced, but the processing complexity increases
Solution Approach 1:
The system segments the 3D image into multiple layers corresponding to different depth levels. Each layer contains objects at specific depths, allowing independent processing and rendering. This segmentation enables accurate depth representation while simplifying the overall processing through modular layer-by-layer generation.
Solution Approach 2:
Different blur effects are applied to different layers based on their depth levels. Objects at greater depths receive stronger blur effects while foreground objects remain sharp. This local quality adjustment enhances depth perception without requiring complex global processing, as each layer is processed independently with appropriate visual effects.
Data Source
AI summary
An image generation apparatus includes a display, an input device, memory storing instructions, and at least one processor, where the instructions, when executed by the at least one processor, cause the image generation apparatus to receive, through the input device, a user input selecting at least one two-dimensional (2D) image and at least one three-dimensional (3D) space type, provide a 3D image based on the selected at least one 2D image and the selected at least one 3D space type, and control the display to display the provided 3D image.