Number of input and output field
| Number of input field |
: |
One |
| Number of output field |
: |
One |
This transformation function is used to calculate similarity of an image and image-reference file . The output is a number (interval [0.0, 1.0]) that represent the similarity between them.
A number value of 0.0 means that the two images are completely different whereas a return value of 1.0 means that all key points in the first image are matched with second image.
This transformation function has two parameters : 'key point descriptor method' to describe feature in an image and image-reference file.
The key point descriptor methods are :
- SIFT
(Scale Invariant Feature Transform) face-image descriptor.
- SURF
(Speeded-Up Robust Features) face-image descriptor.
- BRIEF
(Robust Independent Elementary Features) image descriptor
- ROOTSIFT
(Normalized Scale Invariant Feature Transform) face-image descriptor..