diff --git a/README.md b/README.md index e6291e9..fa56c33 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ 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