diff --git a/.obsidian/workspace.json b/.obsidian/workspace.json
index ce63862..85648cd 100644
--- a/.obsidian/workspace.json
+++ b/.obsidian/workspace.json
@@ -62,9 +62,23 @@
               "icon": "lucide-file",
               "title": "Requirements Gathering"
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+                "file": "3 Knowledge/Computer Vision - Depth Perception.md",
+                "mode": "source",
+                "source": false
+              },
+              "icon": "lucide-file",
+              "title": "Computer Vision - Depth Perception"
+            }
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@@ -311,10 +325,10 @@
       "periodic-notes:Open today": false
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+  "active": "6481c85a3791492b",
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     "99 Work/0 OneSec/OneSecNotes/10 Projects/Requirements/Requirements Gathering.md",
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     "99 Work/0 OneSec/OneSecNotes/10 Projects/Requirements",
     "3 Knowledge/Machine Learning.md",
     "2 Personal/Lists/Business Ideas.md",
diff --git a/3 Knowledge/Computer Vision - Depth Perception.md b/3 Knowledge/Computer Vision - Depth Perception.md
index c887a78..71c16d6 100644
--- a/3 Knowledge/Computer Vision - Depth Perception.md	
+++ b/3 Knowledge/Computer Vision - Depth Perception.md	
@@ -16,6 +16,11 @@ tags:
 #### Correspondence Problem
 To compute the disparity map we must first find out corresponding pixels of the two stereo images. [Image rectification](https://en.wikipedia.org/wiki/Image_rectification) is used to 
 
+#### At OSD
+```
+disparity = (baseline * focal_length) / depth
+DISPARITY_CONSTANT = baseline * focal length
+```