Demo Analysis of MATLAB R2016A Computer Vision Toolbox

2016/05/24

Casually looked at the next few demo, now the functions are all wrapped up, not very good, but still have to learn from the overall idea of the demo

Structure from Motion from

1,read a pair of Images read in two images

2,load camera Parameters Loading the parameters (pre-set with camera calibration app)

3,remove Lens Distortion Correcting lens distortion

4,find point correspondences between the Images find a match between two images

5,estimate the fundamental matrix estimating basic matrices F

6,compute the camera Pose to calculate attitude

7,reconstruct the three-dimensional coordinates of the Locations of matched Points reconstruction match points

8,display The dot cloud shows three-dimensional point clouds

9,fit a Sphere to the point Cloud to Find the Globe This step is a specific part of the example that doesn't matter

Now it seems that the camera self-calibration to take the internal and optical Lianping difference method Bundler is the three-dimensional reconstruction of the heavy difficulties.

Demo Analysis of MATLAB R2016A Computer Vision Toolbox