LED Display Surface Recognition for 3D Pixel Geometry Correction
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Solution Overview
Problem
Existing LED displays face challenges in accurately measuring and correcting the three-dimensional shape and pixel positions of large display surfaces, leading to geometric distortions and increased time, effort, and cost in geometric correction processes.
Innovation Solution
An information processing apparatus and method that utilizes metadata from self-luminous display units to recognize the shape and pixel positions, incorporating a communication unit, recognition unit, and transmission control to facilitate accurate geometric correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional measurement methods are used to measure and correct the three-dimensional shape and pixel positions of large display surfaces, then measurement accuracy can be achieved, but the process requires increased time, effort, and cost
Solution Approach 1:
The patent replaces traditional mechanical measurement systems (such as laser scanners, structured light projectors, and physical measurement devices) with a metadata-based information processing system. Each display unit transmits its position and attribute metadata through communication interfaces, allowing the information processing apparatus to construct a digital model of the display surface without physical measurement intervention. This substitution dramatically reduces measurement time while maintaining accuracy.
Solution Approach 2:
The patent creates a digital copy (metadata model) of the physical display surface configuration. Instead of repeatedly performing physical measurements, the system uses transmitted metadata to generate a virtual representation of display unit positions and attributes. This digital copy enables rapid geometric correction calculations without requiring access to the physical display during the correction process.
2Measurement precision
If traditional measurement methods are used to measure and correct the three-dimensional shape and pixel positions of large display surfaces, then measurement accuracy can be achieved, but the process inc increased cost
Solution Approach 1:
The patent eliminates the need for expensive mechanical measurement equipment (laser scanners, photogrammetry systems, specialized calibration devices) by using standard communication interfaces and metadata transmission. The information processing apparatus uses software-based calculations rather than hardware-based measurement, significantly reducing system cost while maintaining measurement precision through mathematical modeling of display unit positions and attributes.
Solution Approach 2:
Each display unit automatically transmits its own position and attribute metadata to the information processing apparatus. This self-service mechanism eliminates the need for external measurement operators, manual calibration procedures, and professional measurement services, thereby reducing labor costs and simplifying the geometric correction implementation process.
3Area of stationary object
If multiple self-luminous display units are combined to create large display surfaces, then display area is increased, but accurate recognition of shape and pixel positions becomes more difficult
Solution Approach 1:
The patent divides the large display surface into multiple independent display units, each with its own metadata containing position and attribute information. Instead of attempting to measure the entire large display surface as a single complex object, the system processes each segment independently through metadata transmission. The information processing apparatus then integrates these segmented data sets to construct the complete display surface model, making large-area recognition as easy as processing individual units.
Solution Approach 2:
The patent replaces difficult physical measurement processes on large, complex three-dimensional display surfaces with automated metadata-based information processing. Each display unit provides its position and shape metadata through communication interfaces, allowing software algorithms to accurately reconstruct the overall display surface geometry without the challenges of physical access, measurement coordination, and data integration inherent in traditional methods.
Data Source
AI summary
The present technology relates to an information processing apparatus, an information processing method, and a display device that enable to accurately and easily recognize a shape and a pixel position of a display surface configured by multiple self-luminous display units. The information processing apparatus includes a communication unit that receives metadata regarding attributes and positions of multiple self-luminous display units comprising a display surface that displays a video image, and a recognition unit that recognizes a shape and a pixel position of the display surface on the basis of the metadata of each of the display units. The present technology can be applied to, for example, a display controller that controls display of an LED display.