How to fit a 3D plane Pi on some binary image points using SVD and RANSAC and then finding the main axis by applying PCA on the obtained 3D points?

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PRACHI SHARMA 2019-8-12

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https://ww2.mathworks.cn/matlabcentral/answers/475860-how-to-fit-a-3d-plane-pi-on-some-binary-image-points-using-svd-and-ransac-and-then-finding-the-main

评论： PRACHI SHARMA 2019-8-12

Dominio, Donadeo, Zanuttigh - 2014 - Combining multiple depth-based descriptors for hand gesture recognition.pdf

I am trying to implement a paper -

'Combining multiple depth-based descriptors for hand gesture

recognition' by Fabio Dominio, Mauro Donadeo, Pietro Zanuttigh

I am pasting a line from a paragraph under 'Hand Segmentation' of the paper (Page no. 104)-

"Once all the possible palm samples have been detected, we fit a

3D plane p on them by using SVD and RANSAC. Then Principal

Component Analysis (PCA) is applied to the 3D points in H in order

to extract the main axis that roughly corresponds to the direction

ix of the vector going from the wrist to the fingertips. "

According to the paper, I now have hand palm samples but I am not able to understand how to implement the above mentioned part. It is a big paragraph so I have pasted just the first few lines of it.

I have attached the paper PDF with this question. If anybody has any idea regarding the same whether in MATLAB or Python, please let me know.

Thanks in advance!

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KALYAN ACHARJYA 2019-8-12

Be specific please?

If the query is small I will try to figure out the answer.

PRACHI SHARMA 2019-8-12

how to fit a 3D model π on some image points using Singular Value Decomposition (SVD) and Random Sample Consensus (RANSAC) using MATLAB or Python?

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