Camera-Controlled Lighting Calibration for Precise Object Illumination
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Solution Overview
Problem
Modern lighting systems face challenges in accurately adjusting lighting parameters based on camera-captured images due to misalignment between the optical axes of the camera and lighting system, necessitating a calibration process to ensure precise illumination.
Innovation Solution
A method for calibrating a camera-controlled lighting system involves presenting a predefined pattern, capturing it with the camera, and determining a transformation scheme to align the camera and lighting system coordinate systems, allowing precise control of lighting parameters based on camera images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the optical axes of the camera and lighting system are aligned, then the calibration accuracy is improved, but the device complexity increases due to the need for coordinate transformation schemes
Solution Approach 1:
A calibration pattern serves as an intermediary object between the camera and lighting system. The pattern contains known geometric features that can be detected by the camera and used to compute the transformation between camera and lighting coordinate systems, thereby enabling accurate calibration without direct alignment of optical axes
Solution Approach 2:
The calibration pattern creates a known reference copy of the lighting pattern in the camera's coordinate system. By capturing and analyzing this copied pattern, the system can determine the transformation relationship between the two coordinate systems, resolving the complexity of direct alignment requirements
2Productivity
If a predefined pattern is presented for calibration, then the calibration speed is improved, but the adaptability to different environments decreases
Solution Approach 1:
The calibration system dynamically adapts the predefined pattern presentation based on environmental conditions. The lighting system can adjust the brightness, contrast, and visibility of the calibration pattern to suit different ambient lighting conditions, maintaining both calibration speed and environmental adaptability
Solution Approach 2:
The system changes parameters of the calibration pattern such as luminance, contrast ratio, and geometric scaling to optimize for different environmental conditions. This allows the same predefined pattern structure to be effectively used across varying environments while maintaining calibration efficiency
3Measurement precision
If the field of view of the camera is made identical to the illuminated area, then the calibration precision is improved, but the device complexity increases
Solution Approach 1:
The calibration pattern acts as a mediator that bridges the camera field of view and the illuminated area. By placing detectable features on this pattern, the system can establish coordinate transformations without requiring the camera field of view to exactly match the illuminated area, thereby reducing alignment complexity while maintaining precision
Data Source
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AI summary
The invention regards the calibration and control of the camera controlled lighting system (1) based on a captured camera image. For calibrating the camera controlled lighting system (1), a transformation scheme between a coordinate system of a lighting system and a coordinate system of a camera (3) is performed and stored. The transformation scheme is determined based on a predefined pattern used for illuminating an environment of the lighting system (2) and capturing the illuminated area by the camera (3). The correspondence of features in the predefined elimination pattern in the captured image is then analyzed in order to determine the transformation scheme between the two coordinate systems. The transformation scheme is then used to transform coordinates of objects identified in an image captured by the camera (3) into the coordinate system of the lighting system (2). Based on the coordinate system transformation, a control signal is generated to control light emission by the lighting system (2) with respect to an identified object in a captured image by the camera (3).