Overlapped 5 3

Overlapped 5-3 is an advanced image processing technique used in the field of computer vision to improve the accuracy and efficiency of multi-scale feature detection. This method achieves fine-grained capture of complex structures and details in images by performing feature extraction through overlapping windows at different scales. Its objective is to optimize feature detection algorithms, reduce computational redundancy, and enhance detection speed and precision. Overlapped 5-3 has significant value in applications such as object detection, image segmentation, and scene understanding, significantly improving the performance and robustness of visual systems.