Multimodal Patch Matching

Multimodal Patch Matching is a subtask in the field of computer vision that focuses on matching image patches from different modalities, such as visible light RGB and near-infrared images. The task aims to achieve high-precision image registration and fusion through cross-modal feature extraction and comparison, enhancing the comprehensive analysis capabilities of multi-source information. It has significant application value in areas like biometrics, security surveillance, and medical imaging.