Occlusion Handling

Occlusion Handling refers to addressing the issue of objects being partially obscured in computer vision. Its objective is to accurately identify and reconstruct the complete structure and motion state of occluded objects through algorithms and technical means, thereby enhancing the robustness and accuracy of vision systems. This technology holds significant application value in areas such as autonomous driving, video surveillance, and augmented reality, effectively improving system performance in complex environments.