fitting rectangle through data points

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ha ha
ha ha on 25 May 2019
Commented: darova on 31 May 2019
Let's say I have the data as shown in OXY plane(Here, I show 2 examples):
How can I fit the rectangle through data:

Accepted Answer

darova
darova on 26 May 2019
If your data always has V form (look like triangle). Tree corners can be found. Find farthest corners using pdist2()
img.png
Use wikipedia formula to find the 3rd corner of a triangle (wiki)
img1.png
Divide points into 2 groups. If distance point-corner smaller than radius:
img2.png
Use polyfit() to calculate coeffiecients of line. What if angle between calculated lines is not 90 degree?
  3 Comments
darova
darova on 31 May 2019
Use pdist2() to find farthest corners. Draw a line from those points. Find another corners
img.png
Divide points into 4 sets using some tolerance distance to lines
img1.png
Apply polyfit() to each set
img2.png
It's the best i can

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More Answers (1)

Image Analyst
Image Analyst on 25 May 2019
What I would try first is to use principal components analysis ("PCA") to identify the two axes. Use pca() if you have the stats toolbox. Then you can fit lines with polyfit() going through the points along each PC. Use the points at the limits to determine where the lines start and stop. Sorry, no I don't have code that does this already - I'd have to develop it just as you would.
Another method you might also try is RANSAC.
  1 Comment
ha ha
ha ha on 25 May 2019
Edited: ha ha on 25 May 2019
Thanks @Image Analyst for your kind.
Can you show example code of rectangle fitting using pca? I try to follow your advice but I am not totally understand.

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