Assuming that initially the camera is aligned with the world coordinate axes, then we apply $3$ rotations, first about its $x$ axis by $\alpha$, then about its $y$ axis by $\beta$, then about its $z$ axis by $\gamma$, then the rotation matrix of the camera will be
$ R = R_x(\alpha) R_y(\beta) R_z(\gamma) $
And this is equal to,
$R = \begin{bmatrix} c_2 c_3 && - c_2 s_3 && s_2 \\
c_1 s_3 + s_1 s_2 c_3 && c_1 c_3 - s_1 s_2 s_3 && - s_1 c_2 \\
s_1 s_3 + s_1 s_2 c_3 && s_1 c_3 + c_1 s_2 s_3 && c_1 c_2 \end{bmatrix} $
where $c_1 = \cos(\alpha), s_1 = \sin(\alpha) , c_2 = \cos(\beta) , s_2 = \sin(\beta) , c_3 = \cos(\gamma) , s_3 = \sin(\gamma) $
Now, given $P$ on the $xy$ plane, its coordinates as related to coordinates of its image is
$P(\text{world}) = C + t R P(\text{image}) \hspace{10pt} (1)$
Therefore,
$P(\text{image}) = (1/t) R^T (P(\text{world}) - C) $
now we have $P(\text{world}) = (xL , s , 0 )$ where $s \in \mathbb{R}$
For simplicity, we can take $XC = XL$, $YC = 0$ , then
$P(\text{image}) = (1/t) R^T (0 , s , - ZC) $
This gives
$P(\text{image}) = (1/t) ( s (c_1 s_3 + s_1 s_2 c_3) - ZC (s_1 s_3 + s_1 s_2 c_3) , s (c_1 c_3 - s_1 s_2 s_3 ) - ZC (s_1 c_3 + c_1 s_2 s_3 ) , s (- s_1 c_2 ) - ZC (c_1 c_2 ) )$
since we're talking about slope, we note that $P(\text{image})$ is a straight line whose slope is
$m = \text{slope(image)} = \dfrac{(c_1 c_3 - s_1 s_2 s_3) }{ (c_1 s_3 + s_1 s_2 c_3)}$
We know the slope $m$ of the line in the image.
So we now have,
$ m (c_1 s_3 + s_1 s_2 c_3) = c_1 c_3 - s_1 s_2 s_3 $
This gives a relation between $\beta$ and $\gamma$ because $\alpha = 4^\circ$ is known.
Dividing by $c_1 c_3$ , gives
$ m ( \tan(\gamma) + \tan(\alpha) \sin(\beta) ) = 1 - \tan(\alpha) \tan(\gamma) \sin(\beta) $
let $\tan(\alpha) = K $, then
$ m (\tan(\gamma) + K \sin(\beta) ) = 1 - K \tan(\gamma) \sin(\beta) $
From here we can solve for $\tan(\gamma)$
$\tan(\gamma) = \dfrac{(1 - m K \sin(\beta) )}{ ( m + K \sin(\beta) )} $