Represent a point in 2-d projective space $\mathbb P^2$ with homogeneous coordinate $(x_1,x_2,x_3)^T$. Suppose this point is located on a conic, my question why it can be parameterized as $$\begin{bmatrix}x_1 \\ x_2 \\x_3\end{bmatrix} =A\begin{bmatrix}1 \\ \theta \\\theta^2\end{bmatrix} =\begin{bmatrix}a_{11}+a_{12}\theta+a_{13}\theta^2 \\ a_{21}+a_{22}\theta+a_{23}\theta^2 \\ a_{31}+a_{32}\theta+a_{33}\theta^2 \\\end{bmatrix}$$ where A is a non-singular 3$\times$3 matrix?
To my understanding, a circle which is a conic case in $\mathbb P^2$ can be parameterized as $$(x_1-x_3a)^2+(x_2-x_3b)^2=x_3r^2$$ It doesn't coincide with above parameterization,who can help? Original problem comes from R.Hartley & A.Zisserman Multiple View Geometry in Computer Vision at page 76.
Look at the rational parametrization of the unit circle using the tangent half-angle formulas:
$$x = \frac{1-t^2}{1+t^2} \qquad y = \frac{2t}{1+t^2}$$
which can describe any point on the circle except for $(-1,0)$ which corresponds to $t=\infty$. Now this certainly matches the pattern you have:
$$\begin{bmatrix}1-t^2\\2t\\1+t^2\end{bmatrix}= \begin{bmatrix}1&0&-1\\0&2&0\\1&0&1\end{bmatrix} \begin{bmatrix}1\\t\\t^2\end{bmatrix}$$
I'm using $t$ not $\theta$ to make it very clear that this parameter is not the angle, although it is the tangens of half the angle.
Now any other non-degenerate real conic can be obtained from the unit circle via a projective transformation (in a non-unique way). So combining the above parametrization of the unit circle with a projective transformation will give you the desired result.
When mapping one conic to another, you essentially get to choose the images of three points on the conic, and then everything else follows. So you will likely need to designate three points on the conic in order to find a unique map to the unit circle. In this case there is a way to avoid the detour to the unit circle and go from these three points, as I'll explain in a different answer. I think this answer here is very useful as a short intuitive explanation of why this works, but in practice I'd rather follow the other approach to determine a specific matrix.