Light Field Camera Array Calibration for Temperature Distortion Compensation

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Solution Overview

Problem

Existing video conferencing technologies struggle to provide immersive and life-like experiences, particularly in telepresence systems, due to geometric distortion caused by fixed camera positions and varying angles of light entry, which affects image quality and realism.

Innovation Solution

Implementing a light field camera system with temperature-based correction parameters to correct geometric distortion, using a controller to generate and apply temperature-based correction parameters to image data, ensuring accurate and life-like image rendering.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a fixed camera position is used to simplify the system structure, then device complexity is reduced, but geometric distortion increases due to varying angles of light entry

Engineering Contradiction:
Improvecamera system structureVSAvoidgeometric distortion
Core Design Contradiction:
Device complexityVSManufacturing precision

Solution Approach 1:

The patent applies parameter changes by using temperature-based correction parameters to adjust the geometric distortion of captured images. The controller generates correction parameters based on temperature data and stored calibration data, then applies these parameters to compensate for distortion caused by fixed camera positions and varying light entry angles.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent replaces mechanical adjustment mechanisms with a computational approach. Instead of mechanically adjusting camera positions or lens orientations to reduce distortion, the system uses temperature-based correction parameters generated by the controller to computationally correct geometric distortion in the captured images.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If temperature calibration data is collected and stored to enable correction, then manufacturing precision is improved through distortion correction, but device complexity increases due to additional sensors and processing

Engineering Contradiction:
Improvegeometric distortion correctionVSAvoidtemperature monitoring system
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent applies self-service by using the camera system's own temperature characteristics to generate correction parameters. The temperature sensor monitors the camera's internal temperature, and the controller uses this data along with stored calibration data to automatically generate and apply geometric distortion correction parameters, making the system self-correcting without external intervention.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent implements feedback by continuously monitoring temperature data from the camera and using this information to dynamically adjust geometric distortion correction parameters. The controller generates correction parameters based on real-time temperature measurements and stored calibration data, creating a closed-loop system that automatically compensates for temperature-induced distortion variations.

Inventive Principle:
Principle #23Feedback

Data Source

PatentEP4000254B1Temperature-related camera array calibration and compensation for light field image capture and processing
Publication Date: 2026.03.18 MICROSOFT TECHNOLOGY LICENSING LLC
  • EP4000254B1 patent drawingFigure 1A
  • EP4000254B1 patent drawingFigure 1B
  • EP4000254B1 patent drawingFigure 1C

AI summary

Techniques in connection with a light field camera array are disclosed, involving generating a temperature data for an imaging camera included in an imaging camera array for a first time, obtaining an image data from the imaging camera, generating temperature-based correction parameters corresponding to the temperature data based on at least a stored temperature calibration data; and producing corrected image data by applying a geometric distortion correction and/or color correction indicated by the temperature-based correction parameters to the image data.