which method is good for extracting feature Scale invariant feature transform(SIFT) or Shearlet transform?

i am working on ieee paper "A discriminative model for age invariant face recognition", in this paper the SIFT method is applied on all patches of image to extract features. but which method is best Scale invariant feature transform (SIFT) or shearlet transform?

[Anand]

You can't expect an answer for something like this. Each approach will have its advantages and disadvantages. One approach maybe better for one application than the other.

Ask a more informed question.

Answer 1

[Image Analyst]

Evidently the authors thought the SIFT method was better because that's what they used. Not sure they even knew what shearlet transform was or even considered it or compared them. Of course someone else might have a different opinion. I know that a lot of people think SURF is better than SIFT, mainly because it's pretty similar but a lot faster. SURF is in the Computer Vision System Toolbox.

[KHAN]

ok...