Image Processing for Multi-Part Subject Focus Selection

The patent applies local quality by differentiating the treatment of different body parts based on their importance for main subject determination. Head and eye regions are prioritized over trunk regions, with specific logic pathways that favor head/eye detections. This selective prioritization resolves the contradiction by ensuring that while multiple parts are detected (improving reliability), the determination logic specifically weights certain parts heavier to maintain accuracy in identifying the main subject.

The patent implements dynamics through a multi-stage detection and determination process. First, detection operates with a low threshold to maximize coverage. Then, the determination unit dynamically adjusts its logic based on what was detected - if head/eye parts are detected, they are prioritized; if only trunk is detected, alternative logic applies. This dynamic adaptation allows the system to maintain both broad detection coverage and accurate focus selection.

The patent applies segmentation by dividing the determination logic into distinct pathways based on detected body parts. Separate determination flows are established for head/eye detections versus trunk detections. This modular segmentation of the determination logic reduces overall complexity by making each specific case straightforward, while the high-level structure maintains reliability through the backup mechanism of switching to alternative parts when primary detections fail.