Application of Computational Complexity Theory to Computer Vision

本项目提出了在计算复杂性理论领域的研究，将该领域应用于提高计算机视觉问题的效率。计算机视觉的应用，如自动车辆的视频目标跟踪和安全系统，需要实时处理复杂的任务。提高计算机视觉算法效率的研究可能会对这些时间敏感的应用产生影响，并允许实时完成更复杂的计算

This project proposes research in the field of computational complexity theory, applying this field to increasing the efficiency of computer vision problems. Applications of computer vision such as video object tracking for autonomous vehicles and security systems require real-time processing of complex tasks. Research into improving the efficiency of computer vision algorithms could have an impact on these time-sensitive applications and allow for more complex computation to be done in real time