Geodesics with Unified Tangent-constrained Priors and Curvature Regularization
Researchers propose a unified geodesic framework that combines tangent-constrained priors with curvature regularization to improve image segmentation accuracy. The method addresses limitations in existing models by enforcing shape-aware constraints through orientation-lifted spaces, achieving robust segmentation with enhanced shape fidelity on medical and natural images.