From c87a7b49858a00dbc57fed6a9c534944e55327ad Mon Sep 17 00:00:00 2001
From: havardlovas <55440423+havardlovas@users.noreply.github.com>
Date: Mon, 15 Apr 2024 07:56:15 +0200
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 700e0ea..5a19335 100644
--- a/README.md
+++ b/README.md
@@ -105,7 +105,7 @@ X_norm_hsi = np.array([x_norm_hsi, 0, 1]) # The pixel ray in the hsi frame
 
 Of course most these parameters are hard to guess for a HSI and there are two simple ways of finding them. The first way is to ignore distortions and if you know the angular field of view (AFOV). Then you can calculate:
 
-$$f = \frac{width}{2atan(AFOV/2)}$$
+$$f = \frac{width}{2tan(AFOV/2)}$$
 Besides that, you set cx=width/2, and remaining k's to zero. The second approach is if you have an array describing the FOV (often from the manufacturer). 
 In our example above that would amount to a 512-length array, e.g. in degrees 
 ```