Geometry-Guided Projection Display for Non-Flat Objects
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Solution Overview
Problem
Existing display technologies fail to effectively select and project images onto non-flat, two-dimensional objects such as markers or tapes attached to surfaces, limiting the versatility of projection mapping.
Innovation Solution
A system that includes a projector, imaging device, and video generator to capture and analyze a projection object's geometry, allowing users to select and designate content projections using voice or gestures, generating and displaying images based on user instructions and geometry information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional projection mapping is used on flat surfaces with markers or tapes, then the projection can be displayed, but the system cannot effectively select and project images onto non-flat or three-dimensional objects
Solution Approach 1:
The system changes the parameter of object geometry representation from simple 2D plane assumptions to comprehensive 3D point cloud models. By capturing depth information and converting objects into point cloud data, the system adapts to various object shapes and surfaces, enabling projection mapping on non-flat and three-dimensional objects while maintaining manageable system complexity through automated processing.
2Manufacturing precision
If the system captures and processes geometry information of projection objects, then projection accuracy on various objects is improved, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-capturing and storing geometry information of projection objects before the actual projection process. The imaging device captures point cloud data in advance, and the system pre-processes this geometry information, so that when projection is needed, the mapping can be executed quickly using the pre-prepared geometric data, thereby reducing real-time processing time while maintaining high accuracy.
3Ease of operation
If users can freely select and designate projection areas on captured images, then user control and customization are enhanced, but the ease of operation decreases due to complex selection processes
Solution Approach 1:
The system implements feedback by displaying the captured image with overlaid point cloud data or geometry information back to the user, allowing users to visually confirm the recognized object boundaries and projection areas. This feedback mechanism enables users to make accurate selections with confidence, reducing the need for complex selection tools while ensuring precise user intent recognition through visual verification.
Data Source
AI summary
A video generator acquires a captured image by causing an imaging device to capture an image of a projection object in a real space. The video generator acquires geometry information indicating a geometry selected by a user from among geometries included in a range of the captured image, and acquires instruction information representing an instruction of the user regarding an expression of content to be displayed in a projection area. The video generator generates, based on the geometry information selected by the user and the instruction information, a first projection image regarding the content for which the expression indicated by the instruction information is implemented with the geometry indicated by the geometry information as a starting point, and causes a projector to project the first projection image.


