3D Space Image Personalization Using User Memory Scenes
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Solution Overview
Problem
Existing systems for generating three-dimensional space images fail to accurately reflect the memories and experiences of individuals, lacking the ability to personalize and enhance the realism of virtual reality environments based on user-specific imagery.
Innovation Solution
An image processing apparatus and method that acquires user images, extracts important subjects and scenes, and updates three-dimensional space images to reflect user-specific memories by adjusting positions, importance degrees, and image qualities, incorporating user images into a three-dimensional space image database for personalized virtual reality experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional space images are generated using general imaging data, then the coverage of spatial information is broad, but the personal relevance and accuracy of individual memories are not reflected
Solution Approach 1:
The patent segments the three-dimensional space image into multiple regions, each corresponding to different memory scenes. By dividing the spatial representation into discrete segments that can be individually updated with user-specific images, the system achieves both broad spatial coverage and personalized accuracy for each segment.
Solution Approach 2:
The system dynamically updates the three-dimensional space image by selectively replacing or adding images in specific regions based on user memories. This dynamic adaptation allows the virtual space to evolve and personalize itself while maintaining the overall structural integrity and broad coverage of the original space model.
2Adaptability or versatility
If user-specific images are integrated into three-dimensional space images, then personal relevance is enhanced, but the complexity of image processing and integration increases
Solution Approach 1:
The patent performs preliminary processing of user images by extracting key features and determining importance degrees before integration. This preliminary action simplifies the subsequent integration process by pre-organizing and pre-evaluating the images, reducing the computational complexity during the actual merging phase.
Solution Approach 2:
The system introduces an intermediary processing layer that manages the integration between user-specific images and the three-dimensional space image. This intermediary layer handles the complex tasks of image matching, region identification, and seamless blending, isolating the complexity from the main system architecture.
3Loss of information
If all user images are used to update three-dimensional space images, then completeness of personal memory representation is improved, but the amount of data to be processed increases significantly
Solution Approach 1:
The patent applies local quality by determining different importance degrees for different user images based on their relevance to specific memory scenes. Instead of treating all images equally, the system selectively processes and integrates only those images with high importance degrees, maintaining complete personal memory representation while reducing the volume of data that requires full processing.
Data Source
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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.