Acquiring/Recognising Eyes TRIZ Cases
- Deep-Learning Ocular Landmark Measurement With Post-Hoc Refinement
Automatic eye landmark detection combines CNN estimation with post-hoc refinement to improve biometric measurement accuracy, speed, and repeatability.
- Facial Movement Liveness Detection for Remote Identity Fraud
Relative motion of rigid and non-rigid facial features helps detect spoofed faces from short mobile videos without complex hardware.
- Eye Tracking Team Awareness Metrics for Remote Collaboration
Gaze, pupil, and hand-position signals are combined into team awareness metrics to assess remote collaboration and flag needed interventions.
- Facial Liveness Detection Using Temporal Feature Changes
Tracks facial key-point changes across image sequences to detect blinks or mouth motion and block prosthesis-based spoofing attacks.
- Modulated On-Axis Illumination for Low-Contrast Pupil Detection
Modulated on-axis light creates a bright pupil signal that frequency segmentation can separate from ambient reflections for more accurate eye tracking.
- Iris Authentication Correction for Colored Contact Lens Interference
By identifying the colored lens pattern and excluding its tinted region, iris matching stays accurate even when colored contacts are worn.
- Wearable Face Capture Using Eye Cameras for 3D Avatar Modeling
Eye cameras capture the user's face during headset on/off motion to build a 3D model for realistic avatars without extra user actions.
- Eye-Tracking Optics for Corneal Reflection Coordinate Accuracy
Corneal reflection and pupil coordinates are estimated from face images to improve gaze measurement accuracy without added hardware complexity.
- SMI Eye Tracking for Low-Power High-Speed Gaze Detection
Self-mixing interferometry tracks subtle eye motion with lower power and latency than camera-based gaze sensing in head-mounted displays.
- AI Eye Analysis for Ancestral Information Detection
Eye-image AI extracts iris and color features to infer ancestral information and flag aberrations that support self-awareness.
- 3D Subject Image Processing from Asperity Maps for Pose Editing
Single-shot asperity-based 3D subject modeling enables pose and form changes without repeated retakes, improving image output flexibility.
- AI Eye Analysis for Ancestral Profiling and Trauma Detection
Eye-feature AI extracts iris, color, and structure cues to infer ancestral information and flag unresolved trauma with staged analysis.