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Hi,

I have a set of pictures captured with a wide-angle lens camera, and I want to find correspondences between them. Overlap areas are not so large, so most of my matches lie on the edges of the images, where the barrel distortion is worse.

The solution I'm applying so far is undistorting the images, calculate keypoints/features/matches, and distort again, calculating equivalent pixels.

I would like to know if there is any feature descriptor resistant to this effect, in order to skip the previous step. Thanks.

Hi,

I have a set of pictures captured with a wide-angle lens camera, and I want to find correspondences between them. Overlap areas are not so large, so most of my matches lie on the edges of the images, where the barrel distortion is worse.

The solution I'm applying so far is undistorting the images, calculate keypoints/features/matches, and distort again, calculating equivalent pixels.

I would like to know if there is any feature descriptor resistant to this effect, in order to skip the previous step. Thanks.

Hi,

I have a set of pictures captured with a wide-angle lens camera, and I want to find correspondences between them. Overlap areas are not so large, so most of my matches lie on the edges of the images, where barrel distortion is worse.

The solution I'm applying so far is undistorting the images, calculate keypoints/features/matches, and distort again, calculating estimating equivalent pixels.

I would like to know if there is any feature descriptor resistant to this effect, in order to skip the previous step. Thanks.

Hi,

I have a set of pictures captured with a wide-angle lens camera, and I want to find correspondences between them. Overlap areas are not so large, so most of my matches lie on the edges of the images, where barrel distortion is worse.

The solution I'm applying so far is undistorting the images, calculate keypoints/features/matches, and distort again, estimating equivalent pixels.pixels for inlier correspondences.

I would like to know if there is any feature descriptor resistant to this effect, in order to skip the previous step. Thanks.

Hi,

I have a set of pictures captured with a wide-angle lens camera, and I want to find correspondences between them. Overlap areas are not so large, so most of my matches lie on the edges of the images, where barrel distortion is worse.

The solution I'm applying so far is undistorting the images, calculate keypoints/features/matches, and distort again, estimating equivalent pixels for inlier correspondences.

I would like to know if there is any feature descriptor resistant to this effect, in order to skip the previous step. Thanks.

Hi,

I have a set of pictures captured with a wide-angle (fisheye) lens camera, and I want to find correspondences between them. Overlap areas are not so large, so most of my matches lie on the edges of the images, where barrel distortion is worse.

The solution I'm applying so far is undistorting the images, calculate keypoints/features/matches, and distort again, estimating equivalent pixels for inlier correspondences.

I would like to know if there is any feature descriptor resistant to this effect, in order to skip the previous step. Thanks.

Hi,

I have a set of pictures captured with a wide-angle (fisheye) lens camera, and I want to find correspondences between them. Overlap areas are not so very large, so most of my matches lie on the edges of the images, where barrel distortion is worse.

The solution I'm applying so far is undistorting the images, calculate keypoints/features/matches, and distort again, estimating equivalent pixels for inlier correspondences.

I would like to know if there is any feature descriptor resistant to this effect, in order to skip the previous step. Thanks.