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Add slides for Lecture 05
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sunglok committed Oct 18, 2023
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Expand Up @@ -21,7 +21,7 @@ In addition to tutorial slides, example codes are provided in the purpose of edu
* [Section 2. Single-view Geometry](https://github.com/mint-lab/3dv_tutorial/blob/master/slides/02_single-view_geometry.pdf)
* [Section 3. Two-view Geometry](https://github.com/mint-lab/3dv_tutorial/blob/master/slides/03_two-view_geometry.pdf)
* [Section 4. Solving Problems](https://github.com/mint-lab/3dv_tutorial/blob/master/slides/04_solving_problems.pdf)
* Section 5. Finding Correspondence
* [Section 5. Finding Correspondence](https://github.com/mint-lab/3dv_tutorial/blob/master/slides/05_correspondence.pdf)
* Section 6. Multiple-view Geometry
* Special Topic) [Bayesian Filtering](https://github.com/mint-lab/filtering_tutorial)
* Section 7. Visual SLAM and Odometry
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* Solving Nonlinear Equations in 3D Vision
* Absolute camera pose estimation [[python]](https://github.com/mint-lab/3dv_tutorial/blob/master/examples/pose_estimation_implement.py)
* Camera calibration [[python]](https://github.com/mint-lab/3dv_tutorial/blob/master/examples/camera_calibration_implement.py)
* **Section 5. Finding Correspondence**
* SIFT Feature Matching
* ORB Feature Matching
* KLT Feature Tracking
* Line Fitting with RANSAC
* Line Fitting with M-estimators
* **Section 5. Finding Correspondence** [[slides]](https://github.com/mint-lab/3dv_tutorial/blob/master/slides/05_correspondence.pdf)
* Feature Points and Descriptors
* Feature point comparison
* Feature Matching and Tracking
* Feature matching comparison
* Feature tracking with KLT tracker
* Outlier Rejection
* Line fitting with RANSAC [[python]](https://github.com/mint-lab/3dv_tutorial/blob/master/examples/line_fitting_m_estimator.py) [[cpp]](https://github.com/mint-lab/3dv_tutorial/blob/master/examples/line_fitting_m_estimator.cpp)
* Line fitting with M-estimators [[python]](https://github.com/mint-lab/3dv_tutorial/blob/master/examples/line_fitting_ransac.py) [[cpp]](https://github.com/mint-lab/3dv_tutorial/blob/master/examples/line_fitting_ransac.cpp)
* Fundamental matrix estimation with RANSAC
* Fundamental matrix estimation with M-estimator
* **Section 6. Multiple-view Geometry**
* Bundle Adjustment
* Structure-from-Motion (SfM)
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