featureseyes

Featureseyes is a fictional, open‑source style software library for eye feature extraction and gaze estimation in computer vision. It presents a modular pipeline that detects eye regions, localizes eye landmarks, estimates iris and pupil centers, evaluates eyelid state, and computes gaze direction. The concept is commonly used in educational materials to illustrate end‑to‑end eye-tracking systems.

Architecture and components: A detector module identifies left and right eye regions; a landmark predictor outputs coordinates around each eye; a gaze estimator fuses geometric constraints with appearance cues to produce a gaze vector; a blink detector classifies eye state; a tracker stabilizes landmarks over time, often via a Kalman filter. Back‑end adapters may support TensorFlow Lite or PyTorch for model execution.

Inputs and outputs: Featureseyes accepts common image formats such as JPEG and PNG and video streams, and outputs eye coordinates, landmarks, blink state, and gaze vectors with confidence scores. It aims for real‑time operation on standard hardware and configurable privacy options.

Applications and scope: In education and research, it is used to teach modular design, evaluation of gaze estimation accuracy, and deployment considerations for eye‑tracking in accessibility tools, driver monitoring, and interactive interfaces.

Limitations: Performance may degrade with heavy reflections on glasses, extreme lighting, or fast head motion. As a fictional concept, it does not reflect an actual maintained project.

See also: gaze estimation; eye-tracking; facial landmark detection.