Image Capture Calibration for Cosmetic Color Accuracy

The patent segments the calibration process into two distinct phases: a one-time initial calibration that establishes baseline color data, and subsequent rapid image captures that leverage this pre-established calibration. This segmentation allows the system to achieve high measurement precision without requiring repeated sequential calibration steps, thereby reducing user interaction time while maintaining color accuracy.

The patent implements preliminary calibration actions where the device performs initial sensor calibration and environmental light characterization before actual cosmetic formulation analysis. By pre-establishing the calibration framework and storing it for future use, the system eliminates the need for users to undergo time-consuming calibration sequences during each interaction, thus resolving the contradiction between precision and time.

The patent introduces an intermediary computational layer that processes the relationship between environmental light sources and captured images. Rather than adding complex physical light control hardware, the system uses software-based lighting models and algorithms to characterize and compensate for environmental lighting conditions. This intermediary processing layer maintains color accuracy while avoiding the complexity of sophisticated optical control mechanisms.

The patent dynamically adjusts imaging parameters such as exposure time, gain, and white balance based on detected environmental lighting conditions. By changing these parameters in response to measured light sources, the system compensates for environmental interference without requiring complex hardware modifications, thus maintaining measurement precision while managing device complexity.

The patent performs preliminary lighting model generation and characterization during the initial calibration phase, storing these models for subsequent use. By pre-computing lighting relationships and environmental light profiles, the system avoids the need to perform complex iterative calculations during each image capture, thereby reducing real-time computational complexity while maintaining color accuracy through the use of pre-established models.

The patent creates simplified copies or representations of complex lighting scenarios through computational models. Instead of performing full physical light transport simulations, the system uses learned or pre-computed lighting models that replicate the essential effects of environmental lighting. This copying approach maintains color accuracy by capturing the dominant lighting characteristics while significantly reducing computational complexity compared to full physical simulations.