Difference between revisions of "Tutorial Geometric Vision"
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* Decompose Essential | * Decompose Essential | ||
* Decompose Homography | * Decompose Homography | ||
Examples | |||
* [[Example_Fundamental_Matrix| Compute Fundamental Matrix]] | |||
Related | Related | ||
* Zhang 99 Camera Calibration | * Zhang 99 Camera Calibration | ||
* Various different feature trackers and detectors | * Various different feature trackers and detectors | ||
Revision as of 11:01, 22 April 2012
Geometric Computer Vision Tutorial
A major component of 3D computer vision is the study of epipolar geometry, the geometry of two views. BoofCV provides many standard algorithms for mathematically describing features across two views and more. Below is a list of these algorithms. The API is still being worked on and a more detailed tutorial will be written later on.
Algorithm List
- Fundamental Matrix 8 Points (Linear)
- Fundamental Matrix 7 Points (Linear)
- Fundamental Optimization
- Sampson Error
- Epipolar Error
- Homography 4 Points (Linear)
- Homography Optimization
- Sampson Error
- Transfer Error
- Efficient PnP 4-Point
- Linear 6 Point Pose
- Linear Pixel Depth
- Triangulation Geometric
- Triangulation Linear
- Triangulation Optimization
- Sampson Error
- Euclidean Error
- Decompose Essential
- Decompose Homography
Examples
Related
- Zhang 99 Camera Calibration
- Various different feature trackers and detectors
