MATLAB Answers

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?

3 views (last 30 days)
PRACHI SHARMA
PRACHI SHARMA on 12 Aug 2019
Commented: PRACHI SHARMA on 12 Aug 2019
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!

Answers (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!