Occlusion Estimation

Occlusion Estimation is a key technology in computer vision that aims to estimate the position, shape, and motion state of occluded parts of objects by analyzing images or video sequences. The goal of this technology is to enhance the accuracy of scene understanding and ensure robust visual perception in complex dynamic environments. Occlusion Estimation has significant application value in areas such as autonomous driving, robot navigation, and augmented reality, effectively improving the environmental adaptability and interactive experience of systems.