Projector Display Content Aligned With Target Environments
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Solution Overview
Problem
Existing display methods fail to incorporate environment-specific information when generating projection images, limiting the ability to create content that aligns with the projection target object's surroundings.
Innovation Solution
A system that acquires a captured image of the projection region, environment information, and user input to generate a projection image based on physical and environmental data, using a learning model to align the content with the projection target object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a projection image is generated by combining an input image with a predetermined background image, then the projection image can be generated using simple image combination, but the content cannot be aligned with the actual environment of the projection target object
Solution Approach 1:
The system performs preliminary actions by capturing images of the projection target object and its environment before generating the projection image. The background image is generated in advance based on captured images and environment information, enabling the projection content to be pre-aligned with the actual environment, thus resolving the contradiction between easy generation and environmental adaptability
2Device complexity
If background image is prepared in advance or generated based on input image signal, then the projection image generation process is simplified, but the background image cannot reflect actual environmental information of the projection target object
Solution Approach 1:
The system introduces an intermediary approach by using captured images of the projection target object and its environment as intermediate data. Environment information is extracted from these captured images and used to generate the background image, thereby preventing loss of environmental information while maintaining system simplicity through automated processing
Data Source
AI summary
A video generator includes a first acquisition unit, a second acquisition unit, a third acquisition unit, a fourth acquisition unit, a generation unit, and a display control unit. The first acquisition unit acquires a captured image by capturing a white image projected onto a projection region. The second acquisition unit acquires environment information concerning an environment in which a projection target object is placed. The third acquisition unit acquires physical information based on the captured image. The fourth acquisition unit acquires user input information representing an instruction of a user. The generation unit generates an image of content based on the physical information, the environment information, the user input information, and a learning model file. The display control unit causes a projector to project the image of the content.