如何在实时计算机视觉中将3D模型叠加到检测到的物体上？

Question

我正在做一个项目，需要在实时视频中把一个3D模型叠加到检测到的物体上，使用的是计算机视觉技术。具体来说，我想在摄像头拍到的画面中检测到一个玻璃杯，然后把这个玻璃杯的3D模型叠加上去。此外，我还想利用这个叠加的3D模型来识别真实玻璃杯上缺少的部分，比如把手。

我尝试过使用YOLO这种技术来进行物体检测，以及用Unity3D来渲染3D模型，但我不太确定接下来该如何进行叠加和组件识别的过程。

有没有人能给我一些建议，告诉我该怎么做？我特别想要一些关于以下方面的建议：

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.

任何帮助或建议都非常感谢。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，我希望能得到一些指导，帮助我提高叠加的准确性，并实现使用叠加的3D模型来识别组件。

Answer 1

我在这个领域有一些经验。

我曾经做过一个鞋子的虚拟试穿项目，那是一个手机应用程序。当然，后台使用了计算机视觉技术。

在这个项目中，我使用了3D物体关键点检测技术。所有的鞋子模型都需要有3D关键点的信息。在检测到人们穿的鞋子的3D关键点后，再进行匹配。

结果是成功的。不过，这个应用程序在运行时有点慢。检测、匹配和试穿的过程需要花费一些时间，大约需要4到7秒。

希望我的回答对你有帮助。

谢谢