Virtual Projection Layout Planning for Precise Surface Positioning
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Solution Overview
Problem
Existing technologies lack convenience in the installation of projection apparatuses, particularly in determining optimal positions and regions for projection surfaces and devices, leading to inefficiencies in setup and potential discomfort for audiences due to light energy distribution.
Innovation Solution
An information processing apparatus that determines virtual projection surfaces and apparatus positions, calculates projection regions based on these positions and designated areas, and outputs images displaying these regions for easy installation planning, including considerations for energy density and object interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual installation planning is used for projection apparatus, then installation process requires human judgment and adjustment, but installation convenience and efficiency deteriorate
Solution Approach 1:
The system performs preliminary calculation of projection regions and energy density distributions before actual installation. By pre-determining optimal projection surface positions and apparatus locations through automated computational geometry and ray tracing simulations, the installation process is significantly accelerated while maintaining high convenience.
Solution Approach 2:
The system creates a virtual model (copy) of the installation space and performs all planning calculations in this digital replica. The virtual space model includes virtual projection surfaces and apparatus positions, allowing multiple scenarios to be evaluated without physical trial-and-error, thus reducing setup time while improving ease of operation.
2Manufacturing precision
If projection apparatus is installed without precise region calculation, then installation is simpler, but projection quality and energy distribution uniformity deteriorate
Solution Approach 1:
The system introduces an intermediary computational layer that automatically performs complex geometric calculations between the projection apparatus and target surfaces. This intermediary processing unit handles ray tracing, region intersection calculations, and energy density computations, delivering high-precision projection region determination without requiring the end user to directly manage the computational complexity.
Solution Approach 2:
The system transforms the complex geometric problem into parameter-based calculations by defining key parameters such as projection angle, distance, surface orientation, and energy density thresholds. By changing the problem representation from complex spatial reasoning to parameter comparison and calculation, precision is maintained while the system remains computationally manageable.
3Measurement precision
If multiple projection surfaces are planned without visualization, then installation planning is faster, but accuracy in positioning and region overlap detection deteriorates
Solution Approach 1:
The system creates visual copies (renderings) of multiple projection surfaces and their corresponding projection regions in the planned space. These visual representations include overlaid regions, intersection areas, and energy density distributions, preserving complete spatial relationship information while enabling quick verification of positioning accuracy across multiple surfaces.
Solution Approach 2:
The system adds a visual dimension to the spatial planning data by generating 2D or 3D rendered images that display projection regions, surface positions, and overlap areas. This dimensional transformation allows accurate spatial relationships to be perceived intuitively, maintaining measurement precision while preventing loss of spatial information through comprehensive visual documentation.
Data Source
AI summary
An information processing apparatus includes a processor. The processor is configured to: acquire first image data representing a first image in which a space is displayed; determine a position of a virtual projection surface and a position of a virtual projection apparatus in the space; determine a first region indicating a part of a region in the virtual projection surface; determine a first projection region indicating a range of projection light from the virtual projection apparatus to the first region based on the position of the virtual projection surface, the position of the virtual projection apparatus, and the first region; and output second image data representing a second image in which the first projection region is displayed on the first image to an output destination.