如何使用OpenCV绘制3D坐标轴以进行脸部姿势估计?

本文介绍了如何使用OpenCV绘制3D坐标轴以进行脸部姿势估计?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

假设我现在有面部欧拉角(俯仰，偏航，滚动).如何绘制显示面部姿势的3D坐标轴.

Suppose I have got the face euler angles (pitch, yaw, roll) now. How can draw the 3D Coordinate Axes which show the face pose.

这是此处:

推荐答案

只要您具有相机参数，就可以在纯OpenCV中完成此操作.您应该能够创建对应于轴x，y，z的三个向量(基本上是[0,0,0] [1、0、0]，[0、1、0]，[0、0、1]点)，

This can be done in pure OpenCV as long as you have your camera parameters. You should be able to create three vectors corresponding to axis x, y, z (basically points [0,0,0] [1, 0, 0], [0, 1, 0], [0, 0, 1] which you will later project into the image plane. You should first rotate those points according to your yaw/pitch/roll (e.g. by multiplying them by a rotation matrix).

为了将3D点投影到图像平面，请使用 projectPoints 函数.它需要3D点，相机参数并生成2D图像点.有了图像点后，您可以简单地使用 line 用于在投影的中心点(3D中为[0,0,0])和每个轴点的最终投影之间绘制线.

In order to project 3D points to the image plane, use the projectPoints function. It takes 3D points, camera parameters and generates 2D image points. Once you have the image points, you can simply use the line function to draw lines between the projected central point ([0,0,0] in 3D) and each of the resulting projections of the axis points.