Dynamic Tint Correction for Multi-Camera Object Matching
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Solution Overview
Problem
Existing image processing systems struggle to accurately match objects across multiple cameras due to variations in ambient light and changing viewing conditions over time, which reduces matching precision and limits the targets for color matching.
Innovation Solution
An image processing apparatus and method that uses correction parameters to adjust the tint of objects captured by multiple cameras, with a reference camera serving as a baseline for tint correction across different time zones, ensuring consistency in object identification despite changes in lighting and camera conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color correction parameters are obtained in advance for multiple cameras, then matching precision between cameras is improved, but the system cannot handle environmental changes that occur over time
Solution Approach 1:
The patent transitions from static pre-obtained color correction parameters to dynamic parameters that are continuously updated based on current environmental conditions. The correction parameters are no longer fixed but adapt over time to match changing ambient light and illumination conditions, resolving the contradiction between maintaining precision and adapting to environmental changes.
Solution Approach 2:
The system implements feedback by continuously monitoring current color information from cameras and comparing it against reference color information. Based on this feedback loop, the color correction parameters are automatically adjusted and updated to maintain accurate matching despite environmental changes over time.
2Measurement precision
If reference colors and color spaces are prepared in advance for each object, then color matching precision is improved, but the targets for color matching are limited
Solution Approach 1:
The patent creates a universal color correction system that does not require pre-preparation of reference colors for each specific object. Instead, it uses a general color correction mechanism that can handle any object captured by the cameras, expanding the range of matchable targets while maintaining color matching precision through adaptive parameter adjustment.
Solution Approach 2:
The system changes the approach from object-specific reference colors to dynamic color correction parameters that adapt to environmental conditions. By modifying the color correction parameters based on current ambient light and illumination, the system can accurately match colors for any object type without requiring pre-prepared references, thus expanding versatility while maintaining precision.
Data Source
AI summary
A tint of an object according to a second image capturing device is corrected by a first parameter for correcting a tint of a second object that the second image capturing device captured in a first time zone to a tint of a first object that a first image capturing device captured in a first time zone. If a third object captured by a third image capturing device corresponds to the first object, a parameter for correcting a tint of the third object to the tint of the first object is used for correcting a tint of an object according to a third image capturing device. If the third object corresponds to the second object, the first parameter and a third parameter for correcting the tint of the third object to the tint of the second object is used for the foregoing tint correction.