Guanglu Shi

SGAD: Semantic and Geometric-aware Descriptor for Local Feature Matching

Local feature matching remains a fundamental challenge in computer vision. Recent Area to Point Matching (A2PM) methods have improved matching accuracy. However, existing research based on this framework relies on inefficient pixel-level comparisons and complex graph matching that limit scalability.…