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Hello,

I have a lot of images, let's say for example 3 images who I extract Keypoints and descriptors by SIFT :

Image 1: K1 + D1 Image 2: K2 + D2 Image 3: K3 + D3

k: for keypoints and D : for descriptors.

And I have an image X (who has kx and Dx) and I want to find if the key pointsand the descriptors in the image x are similar to the K&D in the image 1, 2 or 3. My goal is to calculate registration between image x and (Image 1 or Image 2 or Image3). I thought about using KNN but I don't know if it's the best solution and if it's goona work with two vectors K and D.

I need your help and thak you.

Hello,

I have a lot of images, let's say for example 3 images who I extract Keypoints and descriptors by SIFT :

Image 1: K1 + D1 D1

Image 2: K2 + D2 D2

Image 3: K3 + D3

k: for keypoints and D : for descriptors.

And I have an image X (who has kx and Dx) and I want to find if the key pointsand the descriptors in the image x are similar to the K&D in the image 1, 2 or 3. My goal is to calculate registration between image x and (Image 1 or Image 2 or Image3). I thought about using KNN but I don't know if it's the best solution and if it's goona work with two vectors K and D.

I need your help and thak you.

Hello,

I have a lot of images, let's say for example 3 images who I extract Keypoints and descriptors by SIFT :

For Image 1: I extract K1 + D1

For Image 2: I extract K2 + D2

For Image 3: I extract K3 + D3

k: for keypoints and D : for descriptors.

And I have an image X (who has kx and Dx) and I want to find if the key pointsand the descriptors in the image x are similar to the K&D in the image 1, 2 or 3. My goal is to calculate registration between image x and (Image 1 or Image 2 or Image3). I thought about using KNN but I don't know if it's the best solution and if it's goona work with two vectors K and D.

I need your help and thak you.

Hello,

I have a lot of images, let's say for example 3 images who I extract Keypoints and descriptors by SIFT :

For Image 1: I extract K1 + D1

For Image 2: I extract K2 + D2

For Image 3: I extract K3 + D3

k: for keypoints and D : for descriptors.

And I have an image X (who has kx and Dx) and I want to find if the key pointsand keypoints sand the descriptors in the image x are similar to the K&D in the image 1, 2 or 3. My goal is to calculate registration between image x and (Image 1 or Image 2 or Image3). I thought about using KNN but I don't know if it's the best solution and if it's goona work with two vectors K and D.

I need your help and thak you.

Hello,

I have a lot of images, let's say for example 3 images who I extract Keypoints and descriptors by SIFT :

For Image 1: I extract K1 + D1

For Image 2: I extract K2 + D2

For Image 3: I extract K3 + D3

k: for keypoints and D : for descriptors.

And I have an image X (who has kx and Dx) and I want to find if the keypoints sand the descriptors in the image x are similar to the K&D in the image 1, 2 or 3. 3.

My goal is to calculate registration between image x and (Image 1 or Image 2 or Image3). Image3).

I thought about using KNN but I don't know if it's the best solution and if it's goona work with two vectors K and D.

I need your help and thak you.

Hello,

I have a lot of images, let's say for example 3 images who I extract Keypoints and descriptors by SIFT :

For Image 1: I extract K1 + D1

For Image 2: I extract K2 + D2

For Image 3: I extract K3 + D3

k: for keypoints and D : for descriptors.

And I have an image X (who has kx and Dx) and I want to find if the keypoints sand the descriptors in the image x are similar to the K&D in the image 1, 2 or 3.

My goal is to calculate registration between image x and (Image 1 or Image 2 or Image3).

I thought about using KNN but I don't know if it's the best solution and if it's goona work with two vectors K and D.

Edit 1 :

What do you think about this method :

My goal as above is to find if the image X is similare to the image 1, 2 or 3 to do resitration with.

-For the image 1, 2 and 3 extract keypoints and descriptors (use the same number of Hessian).

-Extract keypoints and descriptors for images X (use the same number of Hessian)-

-Calculate the number of good matches between Image X and Image 1, Image X and Image 2, Image X and Image 3.

-Take the image that has a lot of good matches to do registaration.

I need your help and thak you.