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arXiv Computer Vision By Dinh Tuan Nguyen, Trong Nhan Nguyen, Vu Nguyen Minh Hung, Tien Minh Khoi Nguyen, Jaeyeop Choi, Sudip Mondal, Jae Sung Ahn, Junghwan Oh

Certified Abstention for Provably-Unidentifiable Index-Phase Recovery in Image Registration

Read the original on arXiv Computer Vision →

The paper introduces a certified abstention approach for image registration, distinguishing between recoverable and provably-unidentifiable regions in reference-perturbed sampled imaging. It establishes a resolution threshold that separates these regimes and provides a framework that exactly recovers identifiable areas while abstaining from unreliable ones, avoiding hallucinated structures. Experiments on scanning, rolling‑shutter, and cryo‑electron‑microscopy systems confirm that the method abstains where classical or learned estimators fabricate artifacts.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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