[WIP] 2900 Move WunschLineMatcher to kornia.feature.matching

[lappemic]

This PR builds on the discussions from #2900 and supersedes PR #2901 by integrating the WunschLineMatcher into kornia.feature.matching. I am proposing this update as a work-in-progress to gather initial feedback on the approach before finalizing.

Please review the approach and let me know if any modifications are required. Your feedback is highly appreciated.

In my understanding this would in the end work like this:

import torch
from kornia.feature.matching import WunschLineMatcher

# Example line segments and descriptors
line_seg1 = torch.tensor([[[0, 0], [1, 1]], [[1, 0], [0, 1]]], dtype=torch.float32)
line_seg2 = torch.tensor([[[0, 0], [1, 1]], [[1, 1], [0, 0]]], dtype=torch.float32)
desc1 = torch.randn(1, 256, 32, 32)
desc2 = torch.randn(1, 256, 32, 32)

# Initialize the matcher with default configuration
matcher = WunschLineMatcher()

# Find matches
matches = matcher(line_seg1, line_seg2, desc1, desc2)

print("Matches:", matches)

Expected output (example):

Matches: tensor([ 0, -1])

In this output:

• 0 indicates that the first line segment in line_seg1 matches with the first line segment in line_seg2.
• -1 indicates that the second line segment in line_seg1 has no valid match in line_seg2.

Type of change

• 🔬 New feature (non-breaking change which adds functionality)