Computational modeling demonstrates transient loss of visual detectability for a falling quartz object against natural indoor scenes, suggesting physical transparency is not required for brief...
We present a pilot framework for analyzing transient loss of visual detectability of a physically present, moving object without invoking physical transparency. A ~2 cm quartz stone was dropped from approximately 2 m against a natural indoor background and recorded in a smartphone slow-motion workflow. A short sequence in the trimmed video contained directly visible compact image evidence consistent with the falling quartz; subsequent positions were constrained by a ballistic continuation model and local image evidence. The measured local scene contrast along the reconstructed path was then propagated through a simplified human-vision model incorporating angular size, residual retinal slip, spatial contrast sensitivity, optical/retinal blur, temporal integration, and pursuit limits. Under a strict Monte Carlo observer family (20,000 samples; detection threshold 0.5-1.0%, pursuit capacity 60-100 deg/s, integration time 20-40 ms), the inferred state changed from VISIBLE to SUBTHRESHOLD at frame 443 and then to TRANSITION at frame 444. At frame 443, local scene contrast was 1.86%, median effective contrast was 0.256%, and the modeled probability of falling below the detection threshold was 97.7%. The longest marginal/subthreshold run was 33.3 ms. These results do not demonstrate physical transparency or prove subjective invisibility. Instead, they support a testable state-space hypothesis: a real moving object can transiently enter a model-defined subthreshold visual state when local background contrast collapse and motion-dependent retinal processing coincide. Controlled psychophysics and independently calibrated eye tracking are required for validation.
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Osuke Doijiri (2026) studied this question.
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