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New research defines decoy and disclosure radii for invariant shape descriptors

By PulseAugur Editorial · [1 sources] ·

A new research paper explores the concept of "decoy and disclosure radii" in the context of invariant shape descriptors for computer vision. The study proposes that the radius of a descriptor's fiber, which represents the distance from an enrolled surface, determines its susceptibility to decoys (distant shapes that incorrectly pass a matcher) or its disclosure of the enrolled shape. For star-shaped surfaces, the research indicates that certain descriptor pools can admit significant decoy families, while others may fail to accurately determine enclosed volumes or meet clearance requirements. AI

RANK_REASON The cluster contains a single academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New research defines decoy and disclosure radii for invariant shape descriptors

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The cluster contains a single academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Tanush Shaska, Lubjana Beshaj ·

    Decoy and disclosure radii of invariant shape descriptors

    arXiv:2610.08410v1 Announce Type: new Abstract: A recognizer that compares rotation-invariant descriptors sees a surface only up to the fiber of the descriptor. We measure this fiber by its radius in the orbit distance from the enrolled surface. A large radius admits decoys, that…

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