From 43e0c28dab2d45877a40f1df555b764c99f7081d Mon Sep 17 00:00:00 2001
From: ArushiMadan <57317639+ArushiMadan@users.noreply.github.com>
Date: Thu, 1 Oct 2020 22:53:30 +0100
Subject: [PATCH] Update README.md

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

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 Reconstructs a 3D scene by generating a dense depth map from a set of images capturing a scene.
 
-The algorithm first uses **KLT Tracking** to track features across all images. We use **Bundle Adjustment** using the Ceres Solver and estimate the extrinsic camera parameters. Finally, we solve a smooth dense map using a **DenseCRF** formulation. Implemented as a part of the Computer Vision course at IIIT H.
+This algorithm first uses **KLT Tracking** to track features across all images. We use **Bundle Adjustment** using the Ceres Solver and estimate the extrinsic camera parameters. Finally, we solve a smooth dense map using a **DenseCRF** formulation. Implemented as a part of the Computer Vision course at IIIT H.
 ![Overview](thumbnail.png)
 
 #### Building Ceres Solver