我正在开发一个项目，需要使用计算机视觉将 3D 模型实时叠加到检测到的对象上。具体来说，我想检测摄像头输入中是否存在玻璃，并将玻璃的 3D 模型叠加到其上。此外，我想使用重叠的 3D 模型来识别真实玻璃中缺失的组件，例如手柄。
我已经探索过使用 YOLO 等技术进行对象检测，使用 Unity3D 来渲染 3D 模型，但我不确定如何继续进行叠加和组件识别过程。
有人可以提供如何实现这一目标的指导吗？具体来说，我正在寻找以下方面的建议：
How to accurately overlay a 3D model onto a detected object in real-time.
Techniques or algorithms for identifying missing components in the real object using the overlaid 3D model.
Any libraries, frameworks, or tools that could assist with implementing this functionality.
任何帮助或建议将不胜感激。谢谢！
Object Detection with YOLO: I have successfully implemented object detection using YOLO to detect the presence of a glass in the camera feed. This step provides me with the bounding box coordinates of the detected glass.
Rendering 3D Model with Unity3D: I have created a 3D model of the glass using Unity3D and have been able to render it onto the camera feed. However, I'm struggling with accurately overlaying the 3D model onto the detected glass in real-time.
期望：
Accurate Overlay: I was expecting that by utilizing the bounding box coordinates obtained from object detection, I could easily overlay the 3D model onto the detected glass in real-time. However, I'm facing challenges in ensuring that the 3D model aligns correctly with the detected glass and maintains its position and orientation as the camera or the glass moves.
Component Identification: Additionally, I was hoping to leverage the overlaid 3D model to identify missing components in the real glass, such as handles. I'm unsure of the best approach or algorithms to achieve this component identification task.
总的来说，我正在寻求有关如何提高叠加精度并使用叠加 3D 模型实现组件识别的指导。
我有这方面的经验。
我曾经做过鞋子虚拟试穿项目，那就是移动应用项目。当然后端是计算机视觉技术。
在这个项目中，我使用了 3D 对象关键点检测技术。所有的鞋子模型都应该有3D关键点信息，并在检测到人们所穿鞋子的3D关键点后，然后将这些关键点进行匹配。
结果成功了。该应用程序的问题在于运行时间。检测、匹配、佩戴步骤需要的时间有点长
希望我的回答对您有帮助。
谢谢你