Principle curvature to gaussian curvatures, or gaussian curvature to principle curvature? which is simple?
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Which is simple if I want to calculate surface curvature.
By reading this:
(1)
The principal curvature values and the principle directions of the curvatures are calculated by taking the eigenvalue decomposition of the Hessian Matrix which is defined as:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/158580/image.jpeg)
Using principal curvatures, Mean (H) and Gaussian (K) Curvatures are calculated as:
H = (K 1 +K 2 )/ 2 , K =k1 ⋅k 2
(2) method
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/158583/image.jpeg)
(2) method is:
Which is easy to calculate in matlab?
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