Comments by KINYUA TIMOTHY NJIRU

KINYUA TIMOTHY NJIRU 5-Nov-21 15:24pm View

@Gerry Schmitz, now in this am required to use the minimum cost function to do that and you might really find it useful for face recognition algorithm when the sample pattern does not match the original then you will either need SURF algo or Minimum cost function algo or RANSAC(Random Sample Consesus) algo to remove the outliers from image B

KINYUA TIMOTHY NJIRU 5-Nov-21 9:43am View

The method returns a Transformation object that when multiplied against image B should remove all outliers and align it to image A

KINYUA TIMOTHY NJIRU 5-Nov-21 9:27am View

Can I edit this to add the code for Transformation

KINYUA TIMOTHY NJIRU 5-Nov-21 9:16am View

@BillWoodruff, the Transformation is a class that contains the translation values that should remove all outliers in image B to make it a close match of image A.
Let me update my code. Transformation T should remove outliers from image B to make it resemble image A

KINYUA TIMOTHY NJIRU 5-Nov-21 9:16am View

Deleted

@BillWoodruff, the Transformation is a class that contains the translation values that should remove all outliers in image B to make it a close match of image A.

Comments by KINYUA TIMOTHY NJIRU (Top 5 by date)