Line-of-sight correction using individualized facial data

The system applies different detection parameters and correction values to each eye based on its individual characteristics and the user's dominant eye. During registration, the system separately captures the positional relationship and line-of-sight characteristics of the left and right eyes. The dominant eye's data is given greater weight in the correction process, while the non-dominant eye's data is also utilized with appropriate adjustment. This localized, eye-specific approach accounts for individual differences in eye orientation and dominant eye usage.

The system performs all complex data collection and processing during an initial registration phase, storing individualized facial organ positions and line-of-sight characteristics in advance. During actual line-of-sight detection, the system only needs to retrieve the pre-registered data and apply simple corrections based on the user's current gaze direction. This shifts the computational complexity from the detection phase to the registration phase, making the operational detection process simpler while maintaining high precision.

The system changes from using fixed averaged parameters to using dynamically selected individual-specific parameters stored during registration. The registration process captures each user's unique facial organ positions and orientation characteristics, which are then retrieved and applied during detection. This parameter adaptation maintains processing speed by using pre-computed individualized data rather than requiring complex real-time calculations, while simultaneously improving accuracy by accounting for individual anatomical variations.