Computational craniofacial morphometry
Derives twelve classical proportion indices from a 68-point facial mesh: vertical thirds, golden-ratio span, interocular harmony, nasolabial segments, gonial vectors, bilateral symmetry residuals, and zygomatic–gonial breadth ratio versus reference ideals. Output is descriptive morphometry only.
Procedure
- 01 Frame face frontally; neutral expression; diffuse lighting.
- 02 Specify acquisition: library file, device capture, or live feed (localhost).
- 03 Mesh extraction and ratio quantization versus classical baselines.
- 04 Symmetry raster synthesis and harmony composite weighting.
- 05 Review dossier: radar breakdown, corpus heatmap, per-index deviation.
Image never leaves your device. All tensors resolved in-browser.
Acquisition channel
Tap the box or use Photo / Selfie in the bar below on phones.
Ingress buffer — front-facing raster
DROP · BROWSE · TAKE PHOTO / LIVE WEBCAM (HTTPS OR LOCALHOST)
TAP · BROWSE · TAKE PHOTO
Mesh overlay
Awaiting specimen. Use acquisition channel above.
Harmony composite
Weighted aggregate versus classical proportion baselines. Not diagnostic.
Appeal (experimental)
Appeal score
—/ 100
Heuristic estimate from a single photo. Not a fact about how people will treat you.
What helped
What pulled it down
How we score (transparent)
This uses a transparent weighted blend of symmetry + proportion/ratio cues. It does not use your photo outside this device.
Sources used to choose factors and framing:
Telemetry
Radar — index deviation
Corpus heatmap
Bright: lower mirror residual. Dark: higher asymmetry signal.