Hough Transform

The Hough Transform is a feature extraction technique used to detect geometric shapes, primarily lines and curves, within images and point clouds. Current research focuses on improving its efficiency and robustness through integration with deep learning models, such as incorporating it into neural network layers for faster and more accurate semantic segmentation, and combining it with other computer vision techniques like object detection and Kalman filtering for enhanced performance in applications like autonomous navigation and sports analysis. These advancements are significantly impacting various fields, enabling improved automation in tasks ranging from autonomous vehicle navigation and warehouse robotics to precise measurements in sports and construction site monitoring.