Projector Surface Correction Using Depth and Reflection Intensity
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Solution Overview
Problem
Existing methods for determining the normal vector for a projection surface using depth information from a distance sensor, such as a ToF sensor, suffer from reduced accuracy due to the inclination and shape of the projection surface, leading to inaccurate correction of the projection images.
Innovation Solution
A method and projector that includes acquiring depth and intensity information from a distance sensor, generating a parameter that defines the projection surface based on the depth and intensity information, and correcting the projection image based on the parameter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If depth information from a distance sensor is used to determine the normal vector for projection surface correction, then the correction process can be automated, but the measurement precision deteriorates when the projection surface has inclination or complex shape
Solution Approach 1:
The patent combines multiple types of information (depth information from distance sensor, intensity information from image sensor, and position information) to comprehensively determine projection surface characteristics. By merging these different data sources, the system overcomes the limitation of using depth information alone, achieving both automation and high precision in correction.
Solution Approach 2:
The patent changes the parameters used for surface characterization by introducing intensity information as an additional parameter alongside depth information. This parameter change allows the system to accurately measure projection surfaces with various inclinations and shapes, resolving the precision deterioration issue while maintaining automation.
2Area of stationary object
If multiple pieces of depth information are acquired at multiple light spots, then the correction coverage is improved, but the measurement precision deteriorates due to surface inclination and shape variations
Solution Approach 1:
The patent merges intensity information from multiple light spots with depth information to determine projection surface characteristics. This combination allows comprehensive coverage of large projection areas while maintaining high measurement precision even when surface inclination and shape vary across different regions.
Solution Approach 2:
The patent applies local quality analysis by using intensity information specific to each light spot position to compensate for local variations in surface inclination and shape. This allows the system to maintain high measurement precision at each local position while achieving broad correction coverage across the entire projection area.
3Device complexity
If correction is based on depth information with reduced accuracy, then the correction process can be simplified, but the manufacturing precision of the correction result deteriorates
Solution Approach 1:
The patent combines depth information with intensity information to determine projection surface characteristics. This merging approach maintains relatively simple processing while significantly improving correction result accuracy, as the intensity information compensates for the reduced accuracy in depth measurements.
Solution Approach 2:
The patent creates a composite information structure by combining depth data and intensity data. This composite approach allows the system to achieve high correction precision without substantially increasing process complexity, as both information types can be processed together in a unified correction algorithm.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The projector achieves improved accuracy in correcting projection images by using both depth and intensity information to generate parameters that define the projection surface, enhancing the precision of the correction method.
Implementation Method 1
acquires multiple pieces of depth information at multiple light spots on a projection surface by using a time-of-flight (ToF) sensor
Implementation Method 2
the distance sensor configured to irradiate the projection surface with radiated light and receive reflected light reflected off the projection surface
Data Source
AI summary
A method for correcting a projection image projected from a projector onto a projection surface, the method including: acquiring depth information indicating multiple distances from a distance sensor to multiple positions on the projection surface based on an output from the distance sensor, the distance sensor configured to irradiate the projection surface with radiated light and receive reflected light reflected off the projection surface; acquiring intensity information indicating an intensity of the reflected light at each of the multiple positions; generating a parameter that defines the projection surface based on the depth information and the intensity information; and correcting the projection image based on the parameter.