Adaptive Image Correction for Non-Planar Projection Surfaces
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Solution Overview
Problem
Display devices and projectors face challenges in maintaining visual quality due to changing environmental factors such as orientation of the projector and viewer, as well as non-planar and dynamic projection surfaces, leading to image distortion and input errors.
Innovation Solution
A method that determines the characteristics of a surface and the point of view of an object with respect to the surface, using sensors and algorithms to project an adjusted image that accounts for these factors, employing techniques like keystoning, image warping, and depth sensing to correct the image in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a projector projects an image onto a surface without adjustment, then the device complexity is reduced, but the image distortion increases due to changing environmental factors and non-planar surfaces
Solution Approach 1:
The projection system dynamically adjusts the projected image in real-time based on detected surface characteristics and viewing angles. The system continuously updates projection parameters to compensate for changes in environment, surface geometry, and observer position, transforming a static projection system into an adaptive one that maintains image accuracy across varying conditions
Solution Approach 2:
The system incorporates sensors to detect surface characteristics, orientation, and viewing angle information, feeding this data back to the projection system. This feedback loop enables the system to automatically adjust projection parameters to compensate for distortion, resolving the contradiction between system simplicity and image accuracy by using intelligent adaptation rather than complex hardware
2Adaptability or versatility
If the projection surface is non-planar or dynamic, then the adaptability of the projection system is improved, but the image distortion and viewing quality deteriorate
Solution Approach 1:
The system changes projection parameters such as distortion correction factors, projection angle, and image warping based on detected surface characteristics. By dynamically adjusting these parameters according to the actual surface geometry and viewing conditions, the system maintains high image quality while adapting to non-planar and dynamic surfaces
Solution Approach 2:
The system performs preliminary detection of surface characteristics and viewing angles before projection occurs. By pre-calculating the necessary distortion correction and image adjustment parameters based on sensor data, the system prepares the projection output in advance to account for the specific surface geometry, ensuring accurate image delivery without requiring complex real-time computation during projection
3Adaptability or versatility
If the projector orientation or viewer position changes, then the versatility of the system is improved, but the image distortion increases
Solution Approach 1:
The system dynamically adjusts projection parameters in response to changes in projector orientation and viewer position. By continuously monitoring environmental factors and updating distortion correction parameters accordingly, the system maintains image accuracy across a wide range of viewing angles and projection orientations, enabling versatile deployment without sacrificing image quality
Data Source
AI summary
A method can include determining characteristics of a surface; determining a point of view for an object with respect to the surface; and projecting an adjusted image onto the surface, the adjusted image being adjusted based at least in part on the characteristics of the surface and the point of view for the object with respect to the surface. Various other methods, apparatuses, systems, etc., are also disclosed.