16-09-2016, 09:51 AM
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Introduction
“Morphing” is an interpolation technique used to create a series of intermediate objects from two objects.
“The face-morphing” automatically extracts feature points on the face and morphing is performed.
This was proposed by Mr. M.Biesel within Bayesian framework to do automatic face morphing.
Pre – Processing
removing the noisy backgrounds
clipping to get a proper facial image, and
scaling the image to a reasonable size.
Feature Finding
Here we find 4 major feature points, namely the two eyes, and the two end-points of the mouth
We first compute the complexity map
we multiply the complexity map by a weighting function.
we find the three highest peaks in the weighted complexity map .
Finally, the similarity is measured in the correlation-coefficient sense
Image Partitioning
Feature finder can gives the positions of the eyes and the end points of the mouth, so we get 4 feature points.
We generate 6 more feature points around the face edge.
Introduction
“Morphing” is an interpolation technique used to create a series of intermediate objects from two objects.
“The face-morphing” automatically extracts feature points on the face and morphing is performed.
This was proposed by Mr. M.Biesel within Bayesian framework to do automatic face morphing.
Pre – Processing
removing the noisy backgrounds
clipping to get a proper facial image, and
scaling the image to a reasonable size.
Feature Finding
Here we find 4 major feature points, namely the two eyes, and the two end-points of the mouth
We first compute the complexity map
we multiply the complexity map by a weighting function.
we find the three highest peaks in the weighted complexity map .
Finally, the similarity is measured in the correlation-coefficient sense
Image Partitioning
Feature finder can gives the positions of the eyes and the end points of the mouth, so we get 4 feature points.
We generate 6 more feature points around the face edge.