Add ORB feature matching (rotation/scale/theme-robust template location)

[JE-Chen]

Locate a target even when it is rotated, rescaled or re-themed — where pixel template matching (match_template / match_masked) fails because it correlates pixels.

• feature_match (AC_feature_match): matches ORB keypoints (orientation-invariant binary descriptors) and fits a RANSAC homography through the geometrically consistent ones. Returns a FeatureMatch with the four projected corners, the center, the inliers count and an inlier-fraction score, or None below min_inliers.
• Robust to rotation, scale and appearance change (light/dark theme, hover, reskin). ratio is Lowe's ratio-test cutoff; max_features caps the keypoint budget.
• ORB border/patch sizes auto-scale down for icon-sized templates — OpenCV's defaults (31) reject every keypoint in a small template. Core OpenCV only (ORB + BFMatcher + findHomography; no contrib).
• Injectable haystack (ndarray/path/PIL) → headless-testable on synthetic arrays (incl. a rotated-scene case). Wired through all 5 layers (core/facade/executor/MCP/Script Builder) + headless test + EN/Zh docs + WHATS_NEW. Qt-free.

[codacy-production]

Not up to standards ⛔

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[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

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