Ambient Color Sensor Array Clustering for Display Adaptation

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Solution Overview

Problem

Existing systems face challenges in accurately determining colorimetric values using multiple ambient color sensors due to the complexity of coordinating and processing multiple colorimetric measurements for effective ambient-adaptive display color rendering.

Innovation Solution

A system and method that utilize multiple ambient color sensors to collect and process color measurements, employing automated clustering techniques and transformation functions to generate a single accurate colorimetric value by selecting and weighting colorimetric values based on lighting clusters and perceptual color space coordinates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple ambient color sensors are used to improve color measurement accuracy, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improvecolor measurement accuracyVSAvoidsensor coordination complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the color measurement task into segments by using multiple sensors positioned at different locations, each capturing colorimetric data from its local environment. The system then processes these segmented measurements separately before combining them, allowing parallel processing and reducing the complexity of coordinating a single comprehensive measurement.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent combines colorimetric values from multiple ambient color sensors using a weighted average or selection algorithm. By merging the measurements from multiple sensors according to their respective lighting cluster assignments and perceptual color space coordinates, the system achieves improved measurement precision while managing complexity through systematic combination rules.

Inventive Principle:
Principle #5Merging (Combining)

2Adaptability or versatility

If multiple ambient color sensors are deployed to enhance adaptability to various lighting conditions, then adaptability is improved, but processing complexity increases

Engineering Contradiction:
Improveambient lighting adaptationVSAvoiddata processing complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent performs preliminary classification of colorimetric values by assigning each sensor measurement to a lighting cluster based on its characteristics before final processing. This preliminary action organizes the data from multiple sensors into structured groups, enabling more efficient subsequent processing and reducing the overall processing complexity while maintaining high adaptability.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent transforms colorimetric values into perceptual color space coordinates and applies weighting factors based on lighting cluster characteristics. By changing the parameter representation and applying context-dependent weights, the system enhances adaptability to various lighting conditions while managing processing complexity through standardized transformation procedures.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If automated clustering techniques are applied to select and weight colorimetric values, then measurement precision is improved, but computational requirements increase

Engineering Contradiction:
Improvecolorimetric value accuracyVSAvoidcomputational processing power
Core Design Contradiction:
Measurement precisionVSPower

Solution Approach 1:

The patent implements automated clustering techniques that enable the system to self-organize and select the most appropriate colorimetric values from multiple sensors based on their inherent characteristics. The clustering algorithm automatically identifies patterns and assigns weights without requiring extensive manual intervention or complex computational models, improving measurement precision while moderating computational requirements.

Inventive Principle:
Principle #25Self-service

Data Source

PatentEP3769059B1Use of multiple calibrated ambient color sensor measurements to generate a single colorimetric value
Publication Date: 2023.11.15 MICROSOFT TECHNOLOGY LICENSING LLC
  • EP3769059B1 patent drawingFigure 1A
  • EP3769059B1 patent drawingFigure 1B~1D
  • EP3769059B1 patent drawingFigure 1E~1G

AI summary

Systems and methods for determining a colorimetric value from color measurements for multiple ambient color sensors which for each color measurement, in various approaches, select a lighting cluster similar to the color measurement and determine whether the color measurement is valid or invalid based on a calculated similarity between the color measurement and the selected lighting cluster, calculate a weight for the color measurement for combination with other color measurements based on the calculated similarity between the color measurement and its selected lighting cluster, determine whether the color measurement is valid or invalid based on perceptual color space distances for the color measurement for multiple reference light sources, and/or calculate a weight for the color measurement for combination with other color measurements based on the perceptual color space distances for multiple reference light sources.