3D Space Image Generation Using User Memory-Based Subject Integration
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Solution Overview
Problem
Existing systems for generating three-dimensional space images do not effectively incorporate user-specific memories and experiences, leading to a lack of personalization and realism in virtual reality environments.
Innovation Solution
An image processing apparatus and method that acquires and processes user images to generate a three-dimensional space image by extracting and positioning subjects based on importance degrees, adjusting brightness and color, and integrating them into a three-dimensional space model, allowing for personalized and realistic virtual experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing systems generate three-dimensional space images without user-specific memories, then the generation process is simple and fast, but the personalization and realism are insufficient
Solution Approach 1:
The system performs preliminary actions by acquiring and storing user-specific images and memories before generating the three-dimensional space image. The image processing apparatus pre-processes user images, extracts subjects, determines importance degrees, and stores this information for later use during image generation, thereby enhancing realism without increasing generation-time complexity
Solution Approach 2:
The system segments the image generation process into distinct functional modules: acquiring user-specific images, extracting subjects from images, determining importance degrees of extracted subjects, and integrating these elements into the three-dimensional space image. This segmentation allows each module to be processed independently, managing complexity while achieving personalized realistic output
2Adaptability or versatility
If user images are extracted and processed to generate personalized three-dimensional space images, then personalization is enhanced, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary extraction of subjects from user images and determination of their importance degrees before the actual three-dimensional space image generation. By pre-processing and storing these extracted elements with their importance metadata, the system reduces real-time processing requirements while maintaining high personalization capability
Solution Approach 2:
The system applies local quality by determining importance degrees for different subjects within user images and selectively processing or prioritizing high-importance regions. This allows the system to focus computational resources on personally significant elements rather than uniformly processing all image data, thereby reducing overall processing time while enhancing personalization
Data Source
AI summary
An image processing apparatus, a method, and a program capable of generating a three-dimensional space image corresponding to a memory experienced by an individual are provided. A server (10) functioning as an image processing apparatus includes a processor (12), and a memory (14) storing a program to be executed by the processor (12), in which the processor (12) is configured to acquire an image of a user from a user terminal (30), acquire a three-dimensional space image of a three-dimensional space related to the image of the user from a three-dimensional space image database (20), acquire a corresponding position, in the three-dimensional space image, of a subject included in the image of the user, and change an image at the position in the three-dimensional space image based on the image of the user.