sample codes from an invitation to 3D vision book

This page includes Matlab code and test programs for the algorithms described in the book. All the functions needed to run the sample programs and sample images can be obtained by downloading the examples-code.tar.gz file. The step-by-step reconstruction example will also require oldhouse2.zip video sequence file (unpack the oldhouse2.zip in examples-code directory).

* Algorithm 4.1 - Basic feature tracking/flow computation (sampleFlow.m)
* Algorithm 4.2 - Harris corner detector (harrisCorner.m, test_4_1.m)
* Algorithm 4.3 - Edge detection (edgeDetection.m)
* Algorithm 5.1 - The eight-point algorithm + 3D reconstruction (essentialDiscrete.m, , compute3DStructure.m, test_5_1.m)
* Algorithm 5.2 - The four-point algorithm for planar scene (homography2Motion.m, test_5_2.m)
* Projective reconstruction - fundamental matrix, projective reconstruction (dfundamental.m, compute3DStructure.m, , test_6_1.m)
* Affine upgrade using vanishing points (from projective to affine) ( test_6_2.m)
* Algorithm 8.1 Factorization algorithm for multiview reconstruction using points (sfm_points.m )
* Algorithm 9.1 Factorization algorithm for multiview reconstruction using points and lines (sfm_mixed.m )
* Projective rectification (projRectify.m, Hwarp.m, test_11_9.m)
* Step-by-step reconstruction (quadric_linear_f.m , oldhouse2.zip , step_by_step.m)