Light Emitter Temperature Compensation for Depth Image Accuracy

Solution Overview

Problem

Existing image processing technologies face challenges in maintaining accurate depth image detection and face recognition due to temperature fluctuations affecting the light emitter's temperature, leading to deviations in captured images and reduced accuracy.

Innovation Solution

An image processing method and apparatus that detects temperature changes in light emitters, acquires target parameters based on temperature differences exceeding a threshold, and corrects preview images using these parameters to minimize deviations and improve detection accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the light emitter operates continuously for depth image detection and face recognition, then the detection functionality is maintained, but temperature fluctuations cause image deviations and reduce accuracy

Engineering Contradiction:

Improvedetection accuracyVSAvoidlight emitter temperature stability

Core Design Contradiction:

ReliabilityVSTemperature

Solution Approach 1:

The patent pre-stores multiple sets of parameters (intrinsic parameters, extrinsic parameters, distortion parameters) corresponding to different temperature ranges before actual operation. When the light emitter temperature changes during operation, the system quickly retrieves the appropriate pre-stored parameters for compensation without needing complex real-time calculations, thus maintaining detection accuracy while adapting to temperature fluctuations

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent changes the parameter set used for image processing based on the detected temperature range. By selecting different pre-stored parameter sets (intrinsic, extrinsic, distortion parameters) corresponding to different temperature ranges, the system compensates for temperature-induced image deviations and maintains reliable detection accuracy across varying operating conditions

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If temperature compensation parameters are updated frequently to maintain accuracy, then detection precision is improved, but processing time and system complexity increase

Engineering Contradiction:

Improveimage detection precisionVSAvoidparameter processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent pre-stores multiple sets of parameters (intrinsic parameters, extrinsic parameters, distortion parameters) corresponding to different temperature ranges before actual operation. When the light emitter temperature changes during operation, the system quickly retrieves the appropriate pre-stored parameters for compensation without needing complex real-time calculations, thus maintaining detection accuracy while adapting to temperature fluctuations

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements a feedback mechanism where the system detects the current temperature range, compares it with the initial temperature, and automatically selects the appropriate pre-stored parameter set for compensation. This closed-loop feedback ensures that the system maintains high measurement precision by continuously adapting to temperature changes while minimizing processing time through intelligent parameter selection

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11218650B2Image processing method, electronic device, and computer-readable storage medium

Publication Date: 2022.01.04 GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD

AI summary

An image processing method, an image processing apparatus (700), an electronic device (10) and a computer-readable storage medium are provided. The image processing method includes: a temperature of a light emitter is detected (202); in condition that a temperature difference between a present temperature of the light emitter and an initial temperature exceeds a threshold, a target parameter is acquired (204); and a predetermined operation is performed according to the target parameter (206).