Patch Matching

Patch matching, a core computer vision task, aims to identify corresponding image regions (patches) across different images or modalities, enabling applications like image inpainting, registration, and visual odometry. Current research emphasizes improving matching accuracy and efficiency, particularly using transformer-based architectures and novel similarity measures that go beyond traditional methods like Sum of Squared Differences. These advancements are driving progress in various fields, including medical imaging, remote sensing, and forensic science, by enhancing the precision and speed of image analysis and object recognition.