Virtual Image Generation for Travel Route Recreation
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Solution Overview
Problem
Existing systems fail to effectively recreate the route of a photographer's travel on a map image from image data, lacking the ability to accurately determine photography positions and directions, and synthesize virtual images of the surrounding scenery.
Innovation Solution
An image generation apparatus and method that records images with photography position information, detects photography directions, and generates virtual images based on this data, using a camera and virtual-scene generation server to recreate the route and scenery viewed during image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If photography position information is recorded and used to generate virtual images, then the ability to recreate travel routes and scenery is improved, but the complexity of the system increases due to requiring integration of multiple data sources
Solution Approach 1:
The system is divided into distinct functional modules: an image recording unit that captures photographs with embedded position information, a map-image unit that retrieves map data, a direction detection unit that analyzes orientation, and a virtual image generation unit that synthesizes the final output. This segmentation allows each component to specialize in one task, improving overall reliability while managing complexity through modular design.
Solution Approach 2:
The patent introduces a virtual-scene generation server as an intermediary that receives image data with position information from cameras, processes the data by integrating it with map images from databases, and generates virtual travel display images. This intermediary handles the complex integration tasks centrally, reducing the complexity burden on individual client devices while ensuring accurate route recreation.
2Manufacturing precision
If multiple data sources are integrated to generate accurate virtual images, then the quality of virtual scene synthesis is improved, but the time required for image generation increases
Solution Approach 1:
The system performs preliminary actions by pre-storing map images in a map-image database and pre-embedding position information in captured photographs. When generating virtual images, the system quickly retrieves pre-prepared map data and position information rather than processing everything from scratch, significantly reducing generation time while maintaining high synthesis quality through the use of pre-processed, high-quality data sources.
Solution Approach 2:
The patent replaces complex real-time mechanical processing with information-based processing. Instead of physically manipulating images or performing computationally intensive real-time rendering, the system uses pre-stored digital map data and position information to generate virtual images through data integration and synthesis algorithms, dramatically reducing processing time while maintaining high precision.
3Adaptability or versatility
If photography direction detection is implemented to view surrounding scenery, then the comprehensiveness of travel experience recreation is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The direction detection unit is designed with multi-functionality, serving both to determine the photographer's orientation for retrieving corresponding map images and to enable viewing of surrounding scenery in multiple directions. This universal component handles various detection tasks using the same position information and image data, achieving comprehensive scenery recreation without proportionally increasing detection difficulty.
Data Source
AI summary
An image generation apparatus, system, and method that include a position detector that acquires photography position information, a communicator that acquires at least one surrounding map image viewable from the photography position when a captured image is captured, and an image generator that generates at least one virtual image of a selected avatar image and the at least one surrounding map image.


