fly_expansion_readout — FLYVISION looming op

• Data kinds: matrix × table → table

• Call: import fullseye as fs; fs.ledger.fly_expansion_readout(flow, lattice, axis=None, weights=None) (implementation को सीधे call करना हो तो import flyvision; flyvision.fly_expansion_readout(flow, lattice, axis=None, weights=None), registry से लेना हो तो opsflyvision.get("fly_expansion_readout"))

उपयोग

पूरी आँख के flow से time-to-contact — और aperture effect का ठीक 2 गुना।

> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।

A fronto-parallel surface approached at speed v from distance d moves the line of sight at polar angle theta outward at sin theta cos theta / tau with tau = d/v. This op projects the measured flow onto the outward radial direction and fits that one number, 1/tau, by weighted least

squares::

1/tau = sum w f_r sin cos / sum w (sin cos)^2

and, independently, fits a linear field f = A x + b on the gnomonic plane and reads the divergence tr A, which sceneflow converts the same way (ttc = 2/div).

The reason to have both: a correlation-type detector only sees the motion component across a contrast edge. Over vertical stripes every edge is vertical, so the elevation component of the flow is lost (the aperture problem), the radial projection keeps on average half the expansion, and both readouts return 2 tau — the surface looks twice as far as it is. A checkerboard has edges in both directions and returns tau. That is the identity How et al. (2020) argued from, written as a number.

flow: (n, 2) azimuth/elevation flow per ommatidium (radians per

second), the return of fly_flow_from_directions.

lattice: the eye it was measured on (hexagonal or Vogel).

axis: the direction of travel = focus of expansion, body coordinates;

None = the lattice's optical axis.

weights: None or (n,) non-negative weights (e.g. 0 on the rim, where

fly_flow_from_directions reports nothing).

Returns a dict {"tau_s", "rate_1_s", "tau_div_s", "divergence_1_s", "aperture_ratio", "residual_rms", "n_ommatidia"} — the radial-fit time-to-contact and its rate, the divergence-fit time-to-contact and the divergence, the ratio of the smaller to the larger diagonal of A (1 for isotropic expansion, 0 under a pure aperture effect), the rms of the radial residual and how many ommatidia voted. A non-expanding field (rate <= 0) returns NaN for the time-to-contact — a documented non-finite, as in fly_tau_from_expansion: a receding surface has no time-to-contact.

Ground truth (pinned in the tests): the exact plane flow returns tau_s == tau and tau_div_s == tau to 1e-9 (the divergence is fitted on gnomonic velocities, where a plane approach is exactly linear); the same flow with its elevation component removed returns 2 tau from both readouts within 1% on a 10-degree field (aperture_ratio 0) — a hexagonal lattice is 6-fold symmetric, so sum cos^2 phi = sum sin^2 phi over it, and the residual is the sphere's departure from that plane.

Raises ValueError: a *flow* that is not (n, 2) for this lattice (an empty *flow* is refused), non-finite entries, a malformed *lattice* / *axis* / *weights*, all-zero weights, and fewer than 6 voting ommatidia.

उपयोग की विस्तृत guide

• fly_vision family guide

संदर्भ (sample data, साहित्य)

• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।

• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।

• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।

चलाए जा सकने वाले उदाहरण (verified samples जो सच में यह op call करते हैं)

• poc_zebra_stripes_fly_eye — py -3.11 examples/poc_zebra_stripes_fly_eye.py

वे अगले ops जिनसे type जुड़ता है (table को input के रूप में लेते हैं)

fly_t4t5_field · fly_flow_from_directions · fly_matched_filter · fly_egomotion_from_flow · fly_eye_merge · fly_view_plane_texture · fly_hex_resample · lattice_moire_peak

इसी category के (looming)

fly_lgmd_eta · fly_tau_from_expansion


*Provenance: flyvision.py — FLYVISION operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.